- published: 30 Oct 2022
- views: 90
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remove the playlistCommand Hierarchy
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remove the playlistHierarchy
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remove the playlistDeep Learning
- remove the playlistCommand Hierarchy
- remove the playlistHierarchy
- remove the playlistDeep Learning
Command hierarchy
A command hierarchy is a group of people who carry out orders based on authority within the group.. It can be viewed as part of a power structure, in which it is usually seen as the most vulnerable and also the most powerful part.
Chain of command
In a military context, the chain of command is the line of authority and responsibility along which orders are passed within a military unit and between different units. Orders are transmitted down the chain of command, from a higher-ranked soldier, such as a commissioned officer, to lower-ranked personnel who either execute the order personally or transmit it down the chain as appropriate, until it is received by those expected to execute it.
In general, military personnel give orders only to those directly below them in the chain of command and receive orders only from those directly above them. A service member who has difficulty executing a duty or order and appeals for relief directly to an officer above his immediate commander in the chain of command is likely to be disciplined for not observing the chain of command. Similarly, an officer is usually expected to give orders only to his or her direct subordinate, even if it is just to pass an order down to another service member lower in the chain of command than said subordinate.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Command_hierarchy
Hierarchy
A hierarchy (from the Greek ἱεραρχία hierarchia, "rule of a high priest", from ἱεράρχης hierarkhes, "leader of sacred rites") is an arrangement of items (objects, names, values, categories, etc.) in which the items are represented as being "above," "below," or "at the same level as" one another.
A hierarchy (sometimes abbreviated HR) can link entities either directly or indirectly, and either vertically or diagonally. The only direct links in a hierarchy, insofar as they are hierarchical, are to one's immediate superior or to one of one's subordinates, although a system that is largely hierarchical can also incorporate alternative hierarchies. Indirect hierarchical links can extend "vertically" upwards or downwards via multiple links in the same direction, following a path. All parts of the hierarchy which are not linked vertically to one another nevertheless can be "horizontally" linked through a path by traveling up the hierarchy to find a common direct or indirect superior, and then down again. This is akin to two co-workers or colleagues; each reports to a common superior, but they have the same relative amount of authority. Organizational forms exist that are both alternative and complementary to hierarchy. Heterarchy (sometimes abbreviated HT) is one such form.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Hierarchy
Deep learning
Deep learning (deep structured learning, hierarchical learning or deep machine learning) is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers with complex structures, or otherwise composed of multiple non-linear transformations.
Deep learning is part of a broader family of machine learning methods based on learning representations of data. An observation (e.g., an image) can be represented in many ways such as a vector of intensity values per pixel, or in a more abstract way as a set of edges, regions of particular shape, etc. Some representations make it easier to learn tasks (e.g., face recognition or facial expression recognition) from examples. One of the promises of deep learning is replacing handcrafted features with efficient algorithms for unsupervised or semi-supervised feature learning and hierarchical feature extraction.
Research in this area attempts to make better representations and create models to learn these representations from large-scale unlabeled data. Some of the representations are inspired by advances in neuroscience and are loosely based on interpretation of information processing and communication patterns in a nervous system, such as neural coding which attempts to define a relationship between various stimuli and associated neuronal responses in the brain.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Deep_learning
Hierarchy (disambiguation)
A hierarchy is an arrangement of units into related levels of different weights or ranks, meaning that levels are considered "higher" or "lower" than one another. The term, which originally meant rule by priests, is now generalised and describes systems with a linear concept of subordinates and superiors and where each level has only 1 direct parent level. Hierarchies are typically depicted as a tree structures.
Hierarchy may also refer to:
- Containment hierarchy, a hierarchy of only strictly nested sets
- Hierarchical query, an SQL query on a hierarchical database
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Hierarchy_(disambiguation)
Command
Command may refer to:
Computing
Military
Sports
Economics and politics
Linguistics and teaching
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Command
Command (military formation)
A command in military terminology is an organisational unit for which the individual in Military command is responsible. A Commander will normally be specifically appointed to the role in order to provide a legal framework for the authority bestowed. Naval and military officers have legal authority by virtue of their officer's commission, however the specific responsibilities and privileges of command are derived from the publication of appointment.
The United States Department of Defense defines command as follows:
(DOD) 2. An order given by a commander; that is, the will of the commander expressed for the purpose of bringing about a particular action.
(DOD) 3. A unit or units, an organization, or an area under the command of one individual. Also called CMD. See also area command; combatant command; combatant command (command authority).
See also
Notes
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Command_(military_formation)
Command (computing)
In computing, a command is a directive to a computer program acting as an interpreter of some kind, in order to perform a specific task. Most commonly a command is either a directive to some kind of command-line interface, such as a shell, or an event in a graphical user interface triggered by the user selecting an option in a menu.
Specifically, the term command is used in imperative computer languages. These languages are called this, because statements in these languages are usually written in a manner similar to the imperative mood used in many natural languages. If one views a statement in an imperative language as being like a sentence in a natural language, then a command is generally like a verb in such a language.
Many programs allow specially formatted arguments, known as flags or options, which modify the default behaviour of the command, while further arguments describe what the command acts on. Comparing to a natural language: the flags are adverbs, whilst the other arguments are objects.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Command_(computing)
Podcasts:
-
6. Cisco IOS Command Hierarchy
CISCO IOS COMMAND HIERARCHY 1. User EXEC Commands - denoted by "greater than sign" - we can run commands here like: ping; show (limited); enable; etc. 2. Privileged EXEC Commands - denoted by "#". - we can run commands here like: all User EXEC commands; debug commands; reload; configure; etc. 3. Global Configuration Commands - denoted by "(config)# - we can run commands here like hostname; enable secret, bri; etc. - inside global config we can also have the below commands: *Interface Commands - denoted by "(config-if)# - we can run: ip address; encapsulation; shut/no shut; etc. *Router Engine Commands - denoted by "(config-router)# - we can run: network; version; auto-summary; etc. *Line Commands - denoted by "(config-line)...
published: 30 Oct 2022 -
Command hierarchy
A command hierarchy is a group of people dedicated to carrying out orders "from the top," that is, of authority. It is part of a power structure: usually seen as the most vulnerable and also the most powerful part of it. This video is targeted to blind users. Attribution: Article text available under CC-BY-SA Creative Commons image source in video
published: 12 Oct 2015 -
identifying your location in the command hierarchy
published: 10 Feb 2024 -
Mastering the Johnson Controls CCT Software: Hybrid Activity & Command Hierarchy Tutorial
Hybrid activity and command hierarchy are concepts frequently used in the field of building automation and control systems, particularly in software platforms like the Johnson Controls CCT (Central Control Technology) software. These concepts are essential for creating efficient and responsive building control strategies, enabling seamless communication between various building automation components and ensuring that the entire system operates optimally. **Hybrid Activity:** Hybrid activity in building automation refers to the integration of different types of control strategies within a single system. These strategies can include time-based schedules, sensor-driven responses, and user-initiated commands. By combining these approaches, hybrid activity allows building managers to strike a...
published: 26 Sep 2023 -
The Pacifista's Command Hierarchy Explained
published: 11 Apr 2024 -
The Ashtar Command's Spiritual Hierarchy of Ascended Masters
The Ashtar Command, like all social groups, businesses, or clubs, has a hierarchy. This one is a spiritual hierarchy based on spiritual achievements. Of course, most of the members come from civilizations other than our own, but some of our very own spiritual master's have ascended to join the Great White Brotherhood, also known as the Galactic Federation of Light. Learn more by watching the video, and please give us a comment and a Like and let us know what you thought! http://www.FringeFocus.tv
published: 06 Dec 2013 -
COMMAND Attention: Make Visual Hierarchy Work
Watch the full video: https://youtu.be/U0-Rq7lnEs4 Read the article: pimpmytype.com/hierarchy #typography #graphicdesign #shorts
published: 02 Feb 2023 -
What is hierarchy and chain of command?
Understanding Hierarchy and Chain of Command in Organizations • Hierarchy & Command • Learn about the importance of hierarchy and chain of command in organizations for maintaining order, assigning responsibilities, and enhancing communication. Essential for operational effectiveness and personal career development.
published: 30 Mar 2024 -
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda In this session of UGC NET 2024, Varsha Mam is teaching UGC NET Public Administration PYQs 2023 in One Class, this video is very important for UGC NET Preparation 2024. ➤ UGC NET Public Administration by Varsha Mam (Complete) Playlists: 👉 https://www.youtube.com/playlist?list=PLNEKQLUgrcIAY1731DKnpIUOLDNgf5Zx6 Welcome to JRFAdda with Aditi Mam & Team to take your NTA UGC NET Preparations to the next level. We, on this channel, wish to provide all vitals related to UGC NET 2024 Exam, Ph.D related Notifications & all other teaching examinations as well which will help to crack NTA NET/JRF Exam. 👉 UGC NET Free Offline Test by JRFAdda Offline Mock Test Registration Link - https://www.jrfadda.co...
published: 24 Jul 2024 -
Military Hierarchy : Chain Of COMMAND
Train video of Military Hierarchy : Chain Of COMMAND... Hello.. I am Baba Ganoush...Babushka for short... Bro... you watch video to see howto use chain Of COMMAND!! Intro: Music Soviet March by Shane Ivers - httpswww.silvermansound.com Outro: Peter John Ross of Sonnyboo.com
published: 17 Feb 2020
6:56
6. Cisco IOS Command Hierarchy
- Order: Reorder
- Duration: 6:56
- Uploaded Date: 30 Oct 2022
- views: 90
CISCO IOS COMMAND HIERARCHY
1. User EXEC Commands
- denoted by "greater than sign"
- we can run commands here like: ping; show (limited); enable; etc.
...
CISCO IOS COMMAND HIERARCHY
1. User EXEC Commands
- denoted by "greater than sign"
- we can run commands here like: ping; show (limited); enable; etc.
2. Privileged EXEC Commands
- denoted by "#".
- we can run commands here like: all User EXEC commands; debug commands; reload; configure; etc.
3. Global Configuration Commands
- denoted by "(config)#
- we can run commands here like hostname; enable secret, bri; etc.
- inside global config we can also have the below commands:
*Interface Commands
- denoted by "(config-if)#
- we can run: ip address; encapsulation; shut/no shut; etc.
*Router Engine Commands
- denoted by "(config-router)#
- we can run: network; version; auto-summary; etc.
*Line Commands
- denoted by "(config-line)#
- can run: password; login; modem commands; etc.
https://wn.com/6._Cisco_Ios_Command_Hierarchy
CISCO IOS COMMAND HIERARCHY
1. User EXEC Commands
- denoted by "greater than sign"
- we can run commands here like: ping; show (limited); enable; etc.
2. Privileged EXEC Commands
- denoted by "#".
- we can run commands here like: all User EXEC commands; debug commands; reload; configure; etc.
3. Global Configuration Commands
- denoted by "(config)#
- we can run commands here like hostname; enable secret, bri; etc.
- inside global config we can also have the below commands:
*Interface Commands
- denoted by "(config-if)#
- we can run: ip address; encapsulation; shut/no shut; etc.
*Router Engine Commands
- denoted by "(config-router)#
- we can run: network; version; auto-summary; etc.
*Line Commands
- denoted by "(config-line)#
- can run: password; login; modem commands; etc.
5:19
Command hierarchy
- Order: Reorder
- Duration: 5:19
- Uploaded Date: 12 Oct 2015
- views: 44
A command hierarchy is a group of people dedicated to carrying out orders "from the top," that is, of authority. It is part of a power structure: usually seen a...
A command hierarchy is a group of people dedicated to carrying out orders "from the top," that is, of authority. It is part of a power structure: usually seen as the most vulnerable and also the most powerful part of it.
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video
https://wn.com/Command_Hierarchy
A command hierarchy is a group of people dedicated to carrying out orders "from the top," that is, of authority. It is part of a power structure: usually seen as the most vulnerable and also the most powerful part of it.
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video
- published: 12 Oct 2015
- views: 44
1:14
identifying your location in the command hierarchy
- Order: Reorder
- Duration: 1:14
- Uploaded Date: 10 Feb 2024
- views: 4
- published: 10 Feb 2024
- views: 4
38:19
Mastering the Johnson Controls CCT Software: Hybrid Activity & Command Hierarchy Tutorial
- Order: Reorder
- Duration: 38:19
- Uploaded Date: 26 Sep 2023
- views: 1777
Hybrid activity and command hierarchy are concepts frequently used in the field of building automation and control systems, particularly in software platforms l...
Hybrid activity and command hierarchy are concepts frequently used in the field of building automation and control systems, particularly in software platforms like the Johnson Controls CCT (Central Control Technology) software. These concepts are essential for creating efficient and responsive building control strategies, enabling seamless communication between various building automation components and ensuring that the entire system operates optimally.
**Hybrid Activity:**
Hybrid activity in building automation refers to the integration of different types of control strategies within a single system. These strategies can include time-based schedules, sensor-driven responses, and user-initiated commands. By combining these approaches, hybrid activity allows building managers to strike a balance between energy efficiency, occupant comfort, and operational requirements. For example, during peak hours, a hybrid activity system might prioritize energy-saving measures, while during off-peak hours, it could focus on maintaining comfort conditions.
**Command Hierarchy:**
Command hierarchy, on the other hand, deals with the organization and prioritization of commands issued to various building systems and devices. In building automation software, this hierarchy defines the order in which commands are executed and can include emergency commands, scheduled commands, and user-generated commands. This hierarchy ensures that critical actions, such as fire alarms or security breaches, take precedence over routine operations, like temperature adjustments or lighting control.
**How They Are Used in Programming:**
In programming for building automation systems like Johnson Controls CCT, hybrid activity and command hierarchy are essential for creating robust and adaptable control strategies. Here's how they are typically used:
1. **Efficient Resource Management:**
2. **Priority-Based Control:**
3. **User Interaction:**
4. **Customization:**
In summary, hybrid activity and command hierarchy are indispensable concepts in building automation programming. They empower developers to create flexible, efficient, and responsive control systems that cater to the dynamic needs of modern buildings while ensuring safety and user satisfaction. These principles are at the heart of advanced building automation software like Johnson Controls CCT, contributing to smarter, more sustainable building operations.
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Johnson Controls M9220-GGA-3 https://amzn.to/32HRVpm
https://wn.com/Mastering_The_Johnson_Controls_Cct_Software_Hybrid_Activity_Command_Hierarchy_Tutorial
Hybrid activity and command hierarchy are concepts frequently used in the field of building automation and control systems, particularly in software platforms like the Johnson Controls CCT (Central Control Technology) software. These concepts are essential for creating efficient and responsive building control strategies, enabling seamless communication between various building automation components and ensuring that the entire system operates optimally.
**Hybrid Activity:**
Hybrid activity in building automation refers to the integration of different types of control strategies within a single system. These strategies can include time-based schedules, sensor-driven responses, and user-initiated commands. By combining these approaches, hybrid activity allows building managers to strike a balance between energy efficiency, occupant comfort, and operational requirements. For example, during peak hours, a hybrid activity system might prioritize energy-saving measures, while during off-peak hours, it could focus on maintaining comfort conditions.
**Command Hierarchy:**
Command hierarchy, on the other hand, deals with the organization and prioritization of commands issued to various building systems and devices. In building automation software, this hierarchy defines the order in which commands are executed and can include emergency commands, scheduled commands, and user-generated commands. This hierarchy ensures that critical actions, such as fire alarms or security breaches, take precedence over routine operations, like temperature adjustments or lighting control.
**How They Are Used in Programming:**
In programming for building automation systems like Johnson Controls CCT, hybrid activity and command hierarchy are essential for creating robust and adaptable control strategies. Here's how they are typically used:
1. **Efficient Resource Management:**
2. **Priority-Based Control:**
3. **User Interaction:**
4. **Customization:**
In summary, hybrid activity and command hierarchy are indispensable concepts in building automation programming. They empower developers to create flexible, efficient, and responsive control systems that cater to the dynamic needs of modern buildings while ensuring safety and user satisfaction. These principles are at the heart of advanced building automation software like Johnson Controls CCT, contributing to smarter, more sustainable building operations.
My Website: http://systemcontroltech.net/
Facebook: https://www.facebook.com/systemcontroltech
NETGEAR 5-Port Gigabit Ethernet Unmanaged Switch https://amzn.to/30d9DST
Cable Matters 5-Pack Snagless Short Cat6 Ethernet Cable https://amzn.to/2zbLIbk
Onicon Controller: https://amzn.to/3eYEyXh
Onicon Insertion Flow Meter: https://amzn.to/3eMQDOU
Support the channel by becoming a Patreon: https://www.patreon.com/systemcontroltech
Here are some of the things I keep in my tool bag.
Backpack: http://amzn.to/2tDnYsC
My screwdriver: http://amzn.to/2uPyIDV
Small fuse puller: http://amzn.to/2uPIdDk
Combination fuse puller: http://amzn.to/2vB0dPf
Adjustable wrench: http://amzn.to/2us3akS
USB to Serial converter: http://amzn.to/2vAKHTD
Network cable: http://amzn.to/2vBpJE0
Network switch: http://amzn.to/2eHsIa7
Hex Key set: http://amzn.to/2eHvA6C
Fluke meter: http://amzn.to/2tDaZHj
Fluke temperature meter: http://amzn.to/2tDxnQO
Dell 32 bit laptop: http://amzn.to/2us2Z9n
Serial cable: http://amzn.to/2eHvyf8
Johnson Controls DX-9100-8454 https://amzn.to/38VgLni
Johnson Controls DX-9100-8990 Back Panel: https://amzn.to/2IPQa0H
Johnson Controls AS-UNT110-1 - UNT Controller https://amzn.to/32CVnBB
Johnson Controls, Inc. Unt Series Unitary Controller https://amzn.to/2SpZCM9
METASYS AP-VMA-1440-0 APVMA14400, VMA Controller, https://amzn.to/2St5eW3
Johnson Controls, Inc. Fx Vma https://amzn.to/2XWEPFS
Johnson Controls Metasys NAE MS-NAE5521-0 https://amzn.to/2Yhyvbn
TRENDnet USB to Serial Converter, https://amzn.to/2JOxH4y
Johnson Controls T-4000-119 Allen Head Adjusting Tool: https://amzn.to/2Ygf7LS
Johnson Controls T8590 Residential High-Resolution Color Touch Screen Digital Room Thermostat https://amzn.to/2JVUhZf
Johnson Controls A99BB-600C Penn Series A99 PTC Temperature Sensor https://amzn.to/2Ycet1R
Johnson Controls P70LB-6C Dual Pressure Control, SPST https://amzn.to/2YhO8zq
Johnson Controls VA-4233-AGA-2 Electric Actuator, https://amzn.to/2JVVcZH
JOHNSON CONTROLS METASYS MS-FEC2610-0 MS-FEB2610-0 CONTROLLER https://amzn.to/2JT1Qj8
Johnson Controls M9220-GGA-3 https://amzn.to/32HRVpm
- published: 26 Sep 2023
- views: 1777
1:00
The Pacifista's Command Hierarchy Explained
- Order: Reorder
- Duration: 1:00
- Uploaded Date: 11 Apr 2024
- views: 69
- published: 11 Apr 2024
- views: 69
4:21
The Ashtar Command's Spiritual Hierarchy of Ascended Masters
- Order: Reorder
- Duration: 4:21
- Uploaded Date: 06 Dec 2013
- views: 88893
The Ashtar Command, like all social groups, businesses, or clubs, has a hierarchy. This one is a spiritual hierarchy based on spiritual achievements. Of cours...
The Ashtar Command, like all social groups, businesses, or clubs, has a hierarchy. This one is a spiritual hierarchy based on spiritual achievements. Of course, most of the members come from civilizations other than our own, but some of our very own spiritual master's have ascended to join the Great White Brotherhood, also known as the Galactic Federation of Light. Learn more by watching the video, and please give us a comment and a Like and let us know what you thought! http://www.FringeFocus.tv
https://wn.com/The_Ashtar_Command's_Spiritual_Hierarchy_Of_Ascended_Masters
The Ashtar Command, like all social groups, businesses, or clubs, has a hierarchy. This one is a spiritual hierarchy based on spiritual achievements. Of course, most of the members come from civilizations other than our own, but some of our very own spiritual master's have ascended to join the Great White Brotherhood, also known as the Galactic Federation of Light. Learn more by watching the video, and please give us a comment and a Like and let us know what you thought! http://www.FringeFocus.tv
- published: 06 Dec 2013
- views: 88893
1:00
COMMAND Attention: Make Visual Hierarchy Work
- Order: Reorder
- Duration: 1:00
- Uploaded Date: 02 Feb 2023
- views: 250
Watch the full video: https://youtu.be/U0-Rq7lnEs4
Read the article: pimpmytype.com/hierarchy
#typography #graphicdesign #shorts
Watch the full video: https://youtu.be/U0-Rq7lnEs4
Read the article: pimpmytype.com/hierarchy
#typography #graphicdesign #shorts
https://wn.com/Command_Attention_Make_Visual_Hierarchy_Work
Watch the full video: https://youtu.be/U0-Rq7lnEs4
Read the article: pimpmytype.com/hierarchy
#typography #graphicdesign #shorts
- published: 02 Feb 2023
- views: 250
0:40
What is hierarchy and chain of command?
- Order: Reorder
- Duration: 0:40
- Uploaded Date: 30 Mar 2024
- views: 4
Understanding Hierarchy and Chain of Command in Organizations • Hierarchy & Command • Learn about the importance of hierarchy and chain of command in organizati...
Understanding Hierarchy and Chain of Command in Organizations • Hierarchy & Command • Learn about the importance of hierarchy and chain of command in organizations for maintaining order, assigning responsibilities, and enhancing communication. Essential for operational effectiveness and personal career development.
https://wn.com/What_Is_Hierarchy_And_Chain_Of_Command
Understanding Hierarchy and Chain of Command in Organizations • Hierarchy & Command • Learn about the importance of hierarchy and chain of command in organizations for maintaining order, assigning responsibilities, and enhancing communication. Essential for operational effectiveness and personal career development.
- published: 30 Mar 2024
- views: 4
28:11
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
- Order: Reorder
- Duration: 28:11
- Uploaded Date: 24 Jul 2024
- views: 215
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
In this session of UGC NET 2024, Varsha Mam is teaching UGC NE...
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
In this session of UGC NET 2024, Varsha Mam is teaching UGC NET Public Administration PYQs 2023 in One Class, this video is very important for UGC NET Preparation 2024.
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UGC-NET is conducted twice every year (June & December). In order to regularize the UGC-NET examination cycle, the National Testing Agency (NTA), with the concurrence of UGC is conducting UGC NET June 2024 in 83 subjects, at selected cities across the country.
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https://wn.com/Ugc_Net_Public_Administration_|_Hierarchy_Unity_Of_Command_By_Varsha_Mam_|_Ugc_Net_2024_Jrfadda
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
In this session of UGC NET 2024, Varsha Mam is teaching UGC NET Public Administration PYQs 2023 in One Class, this video is very important for UGC NET Preparation 2024.
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Keep visiting us. 🙂
The Motive is to work towards the Learning system of our country. Let’s learn it together!
UGC-NET is conducted twice every year (June & December). In order to regularize the UGC-NET examination cycle, the National Testing Agency (NTA), with the concurrence of UGC is conducting UGC NET June 2024 in 83 subjects, at selected cities across the country.
#ugcnetdec2024 #ugcnet2024 #jrf2024 #ugcnetjrf #jrfadda #ugcnet #netjrf #jrfaddawithaditi #cracknet2024 #ugcnetpaper2 #ugcnetpaper2preparation #ugcnetpublicadministration #publicadministrationugcnet #hierarchy #unityofcommand
- published: 24 Jul 2024
- views: 215
1:37
Military Hierarchy : Chain Of COMMAND
- Order: Reorder
- Duration: 1:37
- Uploaded Date: 17 Feb 2020
- views: 151
Train video of Military Hierarchy : Chain Of COMMAND...
Hello.. I am Baba Ganoush...Babushka for short...
Bro... you watch video to see howto use chain Of COM...
Train video of Military Hierarchy : Chain Of COMMAND...
Hello.. I am Baba Ganoush...Babushka for short...
Bro... you watch video to see howto use chain Of COMMAND!!
Intro: Music Soviet March by Shane Ivers - httpswww.silvermansound.com
Outro: Peter John Ross of Sonnyboo.com
https://wn.com/Military_Hierarchy_Chain_Of_Command
Train video of Military Hierarchy : Chain Of COMMAND...
Hello.. I am Baba Ganoush...Babushka for short...
Bro... you watch video to see howto use chain Of COMMAND!!
Intro: Music Soviet March by Shane Ivers - httpswww.silvermansound.com
Outro: Peter John Ross of Sonnyboo.com
- published: 17 Feb 2020
- views: 151
-
Hierarchy | Official Trailer | Netflix [ENG SUB]
The top 0.01% of students control law and order at Jooshin High School, but a secretive transfer student chips a crack in their indomitable world. HIERARCHY is coming June 7, only on Netflix. Watch Hierarchy on Netflix: https://www.netflix.com/title/81624365 Subscribe to Netflix K-Content: https://bit.ly/2IiIXqV Follow Netflix K-Content on Instagram, Twitter, and Tiktok: @netflixkcontent #Hierarchy #Kdrama ABOUT NETFLIX K-CONTENT Netflix K-Content is the channel that takes you deeper into all types of Netflix Korean Content you LOVE. Whether you’re in the mood for some fun with the stars, want to relive your favorite moments, need help deciding what to watch next based on your personal taste, or commiserate with like-minded fans, you’re in the right place. All things NETFLIX K-CONTE...
published: 27 May 2024 -
HIERARCHY Season 1 Ending Explained
The seventh episode of Hierarchy, a new Korean drama series on Netflix, ended with a post-credits sequence that established the groundwork for season two, shocking redemptions, and big shocks. Originally slated to replace Elite on Netflix, Hierarchy veered further toward Pretty Little Liars in its use of high school murder mystery themes. Due to copyright issues, the video has been trimmed, Follow the link for full video: https://www.youtube.com/watch?v=O_89k96GnuM HIERARCHY Season 1 Ending Explained #hierarchy #endingexplained #netflix #MediaBreakdown
published: 09 Jun 2024 -
The way he closed his eyes🤭 Satisfactory reaction 💯🔥 | Hierarchy | #hierarchy #kdrama #tension #lana
published: 11 Jun 2024 -
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI| #hierarchy #leechaemin #kimjaewon #rohjeongeui #netflix #netflixseries #kdrama #kdramascene #bfslei #bfsleiedit #bfsleipost
published: 07 Jun 2024 -
What is Hierarchy?
Let's have a talk about hierarchy. Patreon: https://www.patreon.com/Anark Tip: https://cash.app/$Apeiro Twitter: https://twitter.com/anarkyoutube Mastodon: https://kolektiva.social/web/@Anark Anarchist Library: https://theanarchistlibrary.org/category/author/daniel-baryon
published: 09 Jun 2023 -
Meet the Cast of 'Hierarchy' | Netflix [ENG SUB]
A mysterious transfer student disrupts the established order at Jooshin High School on HIERARCHY, premiering June 7, only on Netflix Watch Hierarchy on Netflix: https://www.netflix.com/title/81624364 Subscribe to Netflix K-Content: https://bit.ly/2IiIXqV Follow Netflix K-Content on Instagram, Twitter, and Tiktok: @netflixkcontent #Hierarchy #RohJeongeui #LeeChaemin #KimJaewon #ChiHaewon #LeeWonjeong #Shoutout #Netflix #Kdrama ABOUT NETFLIX K-CONTENT Netflix K-Content is the channel that takes you deeper into all types of Netflix Korean Content you LOVE. Whether you’re in the mood for some fun with the stars, want to relive your favorite moments, need help deciding what to watch next based on your personal taste, or commiserate with like-minded fans, you’re in the right plac...
published: 06 Jun 2024 -
Maslow's Hierarchy of Needs
Maslow's Hierarchy of Needs is a theory in psychology. It argues that there are five stages of human needs that motivate our behavior. #learn #motivation Never miss a new video : http://eepurl.com/dNU4BQ Join and support us! www.patreon.com/sprouts www.sproutsschools.com Script: Abraham Maslow proposed his theory in 1943 after studying what he called exemplary people such as Albert Einstein or Eleanor Roosevelt. STAGE 1 First, there are physiological needs, such as the need to breathe, eat, drink or sleep. The moment we got enough of that and we feel awake and our bellies are full, we get motivated by the next thing. STAGE 2 Now we want safety. We try to earn money, build up resources and look for shelter that protects us against dangers. Once we are satisfied and feel safe, we ha...
published: 06 Jan 2017 -
how to create your own hierarchy of values!
published: 23 Mar 2025 -
Why Maslow's Hierarchy Of Needs Matters
Maslow's Hierarchy, (or Pyramid), of Needs is one of the central ideas in modern economics and sociology. The work of a once little-known American psychologist, it has grown into an indispensable guide to understanding the modern world. This film explains who Maslow was, what his pyramid is, and why it matters so much. Enjoying our YouTube videos? Get full access to all our audio content, videos, and thousands of thought-provoking articles, conversation cards and more with The School of Life Subscription: https://t.ly/Cpyku Be more mindful, present and inspired. Get the best of The School of Life delivered straight to your inbox: https://t.ly/SNwEg The School of Life runs a global online psychotherapy service that assists clients from over 40 countries. To find out more and book a sessi...
published: 10 Apr 2019 -
What Is Visual Hierarchy?
Understanding visual hierarchy is crucial when learning graphic design, layout design, UI design, motion design, or any other visual communication medium. Learn all about it in this video. ► Download unlimited photos, fonts, and templates with Envato Elements: https://elements.envato.com/?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description In visual communication, we don’t get a lot of time to convey a message. In addition, our vocabulary of design elements is highly subjective and open to viewer interpretation. So visual hierarchy is a great tool to help you communicate clearly. It governs how the elements of a composition are organized to guide the viewer's eye and ensure they receive the message the designer intended. Read more on v...
published: 20 Jul 2023
1:33
Hierarchy | Official Trailer | Netflix [ENG SUB]
- Order: Reorder
- Duration: 1:33
- Uploaded Date: 27 May 2024
- views: 1082485
The top 0.01% of students control law and order at Jooshin High School, but a secretive transfer student chips a crack in their indomitable world.
HIERARCHY is...
The top 0.01% of students control law and order at Jooshin High School, but a secretive transfer student chips a crack in their indomitable world.
HIERARCHY is coming June 7, only on Netflix.
Watch Hierarchy on Netflix: https://www.netflix.com/title/81624365
Subscribe to Netflix K-Content: https://bit.ly/2IiIXqV
Follow Netflix K-Content on Instagram, Twitter, and Tiktok: @netflixkcontent
#Hierarchy #Kdrama
ABOUT NETFLIX K-CONTENT
Netflix K-Content is the channel that takes you deeper into all types of Netflix Korean Content you LOVE. Whether you’re in the mood for some fun with the stars, want to relive your favorite moments, need help deciding what to watch next based on your personal taste, or commiserate with like-minded fans, you’re in the right place.
All things NETFLIX K-CONTENT.
*Shows featured might not be available in all markets.
https://wn.com/Hierarchy_|_Official_Trailer_|_Netflix_Eng_Sub
The top 0.01% of students control law and order at Jooshin High School, but a secretive transfer student chips a crack in their indomitable world.
HIERARCHY is coming June 7, only on Netflix.
Watch Hierarchy on Netflix: https://www.netflix.com/title/81624365
Subscribe to Netflix K-Content: https://bit.ly/2IiIXqV
Follow Netflix K-Content on Instagram, Twitter, and Tiktok: @netflixkcontent
#Hierarchy #Kdrama
ABOUT NETFLIX K-CONTENT
Netflix K-Content is the channel that takes you deeper into all types of Netflix Korean Content you LOVE. Whether you’re in the mood for some fun with the stars, want to relive your favorite moments, need help deciding what to watch next based on your personal taste, or commiserate with like-minded fans, you’re in the right place.
All things NETFLIX K-CONTENT.
*Shows featured might not be available in all markets.
- published: 27 May 2024
- views: 1082485
0:43
HIERARCHY Season 1 Ending Explained
- Order: Reorder
- Duration: 0:43
- Uploaded Date: 09 Jun 2024
- views: 32854
The seventh episode of Hierarchy, a new Korean drama series on Netflix, ended with a post-credits sequence that established the groundwork for season two, shock...
The seventh episode of Hierarchy, a new Korean drama series on Netflix, ended with a post-credits sequence that established the groundwork for season two, shocking redemptions, and big shocks. Originally slated to replace Elite on Netflix, Hierarchy veered further toward Pretty Little Liars in its use of high school murder mystery themes.
Due to copyright issues, the video has been trimmed, Follow the link for full video: https://www.youtube.com/watch?v=O_89k96GnuM
HIERARCHY Season 1 Ending Explained
#hierarchy #endingexplained #netflix #MediaBreakdown
https://wn.com/Hierarchy_Season_1_Ending_Explained
The seventh episode of Hierarchy, a new Korean drama series on Netflix, ended with a post-credits sequence that established the groundwork for season two, shocking redemptions, and big shocks. Originally slated to replace Elite on Netflix, Hierarchy veered further toward Pretty Little Liars in its use of high school murder mystery themes.
Due to copyright issues, the video has been trimmed, Follow the link for full video: https://www.youtube.com/watch?v=O_89k96GnuM
HIERARCHY Season 1 Ending Explained
#hierarchy #endingexplained #netflix #MediaBreakdown
- published: 09 Jun 2024
- views: 32854
0:36
The way he closed his eyes🤭 Satisfactory reaction 💯🔥 | Hierarchy | #hierarchy #kdrama #tension #lana
- Order: Reorder
- Duration: 0:36
- Uploaded Date: 11 Jun 2024
- views: 779651
- published: 11 Jun 2024
- views: 779651
0:26
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI
- Order: Reorder
- Duration: 0:26
- Uploaded Date: 07 Jun 2024
- views: 243307
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI|
#hierarchy #leechaemin #kimjaewon #rohjeongeui #netflix #netflixseries #kdram...
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI|
#hierarchy #leechaemin #kimjaewon #rohjeongeui #netflix #netflixseries #kdrama #kdramascene #bfslei #bfsleiedit #bfsleipost
https://wn.com/Their_Chemistry_|_Hierarchy_Netflix_|_Leechaemin_Rohjeongeui_|_260607_Bfslei
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI|
#hierarchy #leechaemin #kimjaewon #rohjeongeui #netflix #netflixseries #kdrama #kdramascene #bfslei #bfsleiedit #bfsleipost
- published: 07 Jun 2024
- views: 243307
18:39
What is Hierarchy?
- Order: Reorder
- Duration: 18:39
- Uploaded Date: 09 Jun 2023
- views: 8223
Let's have a talk about hierarchy.
Patreon: https://www.patreon.com/Anark
Tip: https://cash.app/$Apeiro
Twitter: https://twitter.com/anarkyoutube
Mastodon: ht...
Let's have a talk about hierarchy.
Patreon: https://www.patreon.com/Anark
Tip: https://cash.app/$Apeiro
Twitter: https://twitter.com/anarkyoutube
Mastodon: https://kolektiva.social/web/@Anark
Anarchist Library: https://theanarchistlibrary.org/category/author/daniel-baryon
https://wn.com/What_Is_Hierarchy
Let's have a talk about hierarchy.
Patreon: https://www.patreon.com/Anark
Tip: https://cash.app/$Apeiro
Twitter: https://twitter.com/anarkyoutube
Mastodon: https://kolektiva.social/web/@Anark
Anarchist Library: https://theanarchistlibrary.org/category/author/daniel-baryon
- published: 09 Jun 2023
- views: 8223
1:08
Meet the Cast of 'Hierarchy' | Netflix [ENG SUB]
- Order: Reorder
- Duration: 1:08
- Uploaded Date: 06 Jun 2024
- views: 171729
A mysterious transfer student disrupts the established order at Jooshin High School on HIERARCHY, premiering June 7, only on Netflix
Watch Hierarchy on Netfl...
A mysterious transfer student disrupts the established order at Jooshin High School on HIERARCHY, premiering June 7, only on Netflix
Watch Hierarchy on Netflix: https://www.netflix.com/title/81624364
Subscribe to Netflix K-Content: https://bit.ly/2IiIXqV
Follow Netflix K-Content on Instagram, Twitter, and Tiktok: @netflixkcontent
#Hierarchy #RohJeongeui #LeeChaemin #KimJaewon #ChiHaewon #LeeWonjeong #Shoutout #Netflix #Kdrama
ABOUT NETFLIX K-CONTENT
Netflix K-Content is the channel that takes you deeper into all types of Netflix Korean Content you LOVE. Whether you’re in the mood for some fun with the stars, want to relive your favorite moments, need help deciding what to watch next based on your personal taste, or commiserate with like-minded fans, you’re in the right place.
All things NETFLIX K-CONTENT.
*Shows featured might not be available in all markets.
https://wn.com/Meet_The_Cast_Of_'Hierarchy'_|_Netflix_Eng_Sub
A mysterious transfer student disrupts the established order at Jooshin High School on HIERARCHY, premiering June 7, only on Netflix
Watch Hierarchy on Netflix: https://www.netflix.com/title/81624364
Subscribe to Netflix K-Content: https://bit.ly/2IiIXqV
Follow Netflix K-Content on Instagram, Twitter, and Tiktok: @netflixkcontent
#Hierarchy #RohJeongeui #LeeChaemin #KimJaewon #ChiHaewon #LeeWonjeong #Shoutout #Netflix #Kdrama
ABOUT NETFLIX K-CONTENT
Netflix K-Content is the channel that takes you deeper into all types of Netflix Korean Content you LOVE. Whether you’re in the mood for some fun with the stars, want to relive your favorite moments, need help deciding what to watch next based on your personal taste, or commiserate with like-minded fans, you’re in the right place.
All things NETFLIX K-CONTENT.
*Shows featured might not be available in all markets.
- published: 06 Jun 2024
- views: 171729
2:48
Maslow's Hierarchy of Needs
- Order: Reorder
- Duration: 2:48
- Uploaded Date: 06 Jan 2017
- views: 3144913
Maslow's Hierarchy of Needs is a theory in psychology. It argues that there are five stages of human needs that motivate our behavior. #learn #motivation
Never...
Maslow's Hierarchy of Needs is a theory in psychology. It argues that there are five stages of human needs that motivate our behavior. #learn #motivation
Never miss a new video :
http://eepurl.com/dNU4BQ
Join and support us!
www.patreon.com/sprouts
www.sproutsschools.com
Script:
Abraham Maslow proposed his theory in 1943 after studying what he called exemplary people such as Albert Einstein or Eleanor Roosevelt.
STAGE 1
First, there are physiological needs, such as the need to breathe, eat, drink or sleep. The moment we got enough of that and we feel awake and our bellies are full, we get motivated by the next thing.
STAGE 2
Now we want safety. We try to earn money, build up resources and look for shelter that protects us against dangers. Once we are satisfied and feel safe, we have time to think about what we want next.
STAGE 3
At stage three we seek love and belonging. We desire to be close to family and friends, belong to a society or join a gang. But the moment we feel completely part of a group we already wish to be a little different than the rest.
At stage four we look for esteem, self-confidence, and respect from our peers. We want to be someone. If we have money, we buy a fancy watch. If we have a brain, we write or think or work a lot. Motivation to perform and compete is now at its highest. Students, sportsmen, and inventors excel. Neil Armstrong even flew to the moon.
STAGE 5
Only if we breathe and drink and eat and sleep enough and we feel safe and part of a group and still special, only then we can reach level five: self-actualization. Now we can relax, be creative, accept facts for what they are, give back or do whatever we want. No more pressure, unless of course there is trouble below.
If you are a leader and believe in the theory, use it. First, make sure everyone has eaten well. Then make them feel safe and help them belong to a group. Once they feel they belong, they are ready to stand out and excel.
https://wn.com/Maslow's_Hierarchy_Of_Needs
Maslow's Hierarchy of Needs is a theory in psychology. It argues that there are five stages of human needs that motivate our behavior. #learn #motivation
Never miss a new video :
http://eepurl.com/dNU4BQ
Join and support us!
www.patreon.com/sprouts
www.sproutsschools.com
Script:
Abraham Maslow proposed his theory in 1943 after studying what he called exemplary people such as Albert Einstein or Eleanor Roosevelt.
STAGE 1
First, there are physiological needs, such as the need to breathe, eat, drink or sleep. The moment we got enough of that and we feel awake and our bellies are full, we get motivated by the next thing.
STAGE 2
Now we want safety. We try to earn money, build up resources and look for shelter that protects us against dangers. Once we are satisfied and feel safe, we have time to think about what we want next.
STAGE 3
At stage three we seek love and belonging. We desire to be close to family and friends, belong to a society or join a gang. But the moment we feel completely part of a group we already wish to be a little different than the rest.
At stage four we look for esteem, self-confidence, and respect from our peers. We want to be someone. If we have money, we buy a fancy watch. If we have a brain, we write or think or work a lot. Motivation to perform and compete is now at its highest. Students, sportsmen, and inventors excel. Neil Armstrong even flew to the moon.
STAGE 5
Only if we breathe and drink and eat and sleep enough and we feel safe and part of a group and still special, only then we can reach level five: self-actualization. Now we can relax, be creative, accept facts for what they are, give back or do whatever we want. No more pressure, unless of course there is trouble below.
If you are a leader and believe in the theory, use it. First, make sure everyone has eaten well. Then make them feel safe and help them belong to a group. Once they feel they belong, they are ready to stand out and excel.
- published: 06 Jan 2017
- views: 3144913
0:29
how to create your own hierarchy of values!
- Order: Reorder
- Duration: 0:29
- Uploaded Date: 23 Mar 2025
- views: 543
- published: 23 Mar 2025
- views: 543
6:29
Why Maslow's Hierarchy Of Needs Matters
- Order: Reorder
- Duration: 6:29
- Uploaded Date: 10 Apr 2019
- views: 2447430
Maslow's Hierarchy, (or Pyramid), of Needs is one of the central ideas in modern economics and sociology. The work of a once little-known American psychologist,...
Maslow's Hierarchy, (or Pyramid), of Needs is one of the central ideas in modern economics and sociology. The work of a once little-known American psychologist, it has grown into an indispensable guide to understanding the modern world. This film explains who Maslow was, what his pyramid is, and why it matters so much.
Enjoying our YouTube videos? Get full access to all our audio content, videos, and thousands of thought-provoking articles, conversation cards and more with The School of Life Subscription: https://t.ly/Cpyku
Be more mindful, present and inspired. Get the best of The School of Life delivered straight to your inbox: https://t.ly/SNwEg
The School of Life runs a global online psychotherapy service that assists clients from over 40 countries. To find out more and book a session today, please visit our website: https://t.ly/xP3EL
FURTHER READING
You can read more here: https://bit.ly/2WQcz2G
MORE SCHOOL OF LIFE
Visit us in person at our London HQ: https://bit.ly/2UoJAGt
Watch more films on Work and Capitalism in our playlist:
http://bit.ly/TSOLcapitalism
You can submit translations and transcripts on all of our videos here: https://www.youtube.com/timedtext_cs_panel?c=UC7IcJI8PUf5Z3zKxnZvTBog&tab=2
Find out how more here: https://support.google.com/youtube/answer/6054623?hl=en-GB
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CREDITS
Produced in collaboration with:
Mike Booth
https://www.youtube.com/somegreybloke
Title animation produced in collaboration with
Vale Productions
https://www.valeproductions.co.uk/
https://wn.com/Why_Maslow's_Hierarchy_Of_Needs_Matters
Maslow's Hierarchy, (or Pyramid), of Needs is one of the central ideas in modern economics and sociology. The work of a once little-known American psychologist, it has grown into an indispensable guide to understanding the modern world. This film explains who Maslow was, what his pyramid is, and why it matters so much.
Enjoying our YouTube videos? Get full access to all our audio content, videos, and thousands of thought-provoking articles, conversation cards and more with The School of Life Subscription: https://t.ly/Cpyku
Be more mindful, present and inspired. Get the best of The School of Life delivered straight to your inbox: https://t.ly/SNwEg
The School of Life runs a global online psychotherapy service that assists clients from over 40 countries. To find out more and book a session today, please visit our website: https://t.ly/xP3EL
FURTHER READING
You can read more here: https://bit.ly/2WQcz2G
MORE SCHOOL OF LIFE
Visit us in person at our London HQ: https://bit.ly/2UoJAGt
Watch more films on Work and Capitalism in our playlist:
http://bit.ly/TSOLcapitalism
You can submit translations and transcripts on all of our videos here: https://www.youtube.com/timedtext_cs_panel?c=UC7IcJI8PUf5Z3zKxnZvTBog&tab=2
Find out how more here: https://support.google.com/youtube/answer/6054623?hl=en-GB
SOCIAL MEDIA
Feel free to follow us at the links below:
Facebook: https://www.facebook.com/theschooloflifelondon/
X: https://twitter.com/TheSchoolOfLife
Instagram: https://www.instagram.com/theschooloflifelondon/
CREDITS
Produced in collaboration with:
Mike Booth
https://www.youtube.com/somegreybloke
Title animation produced in collaboration with
Vale Productions
https://www.valeproductions.co.uk/
- published: 10 Apr 2019
- views: 2447430
5:47
What Is Visual Hierarchy?
- Order: Reorder
- Duration: 5:47
- Uploaded Date: 20 Jul 2023
- views: 41593
Understanding visual hierarchy is crucial when learning graphic design, layout design, UI design, motion design, or any other visual communication medium. Learn...
Understanding visual hierarchy is crucial when learning graphic design, layout design, UI design, motion design, or any other visual communication medium. Learn all about it in this video. ► Download unlimited photos, fonts, and templates with Envato Elements: https://elements.envato.com/?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
In visual communication, we don’t get a lot of time to convey a message. In addition, our vocabulary of design elements is highly subjective and open to viewer interpretation. So visual hierarchy is a great tool to help you communicate clearly. It governs how the elements of a composition are organized to guide the viewer's eye and ensure they receive the message the designer intended.
Read more on visual hierarchy on Envato Tuts+: https://design.tutsplus.com/articles/what-is-visual-hierarcy--cms-107169?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Envato Tuts+
Discover free how-to tutorials and online courses. Design a logo, create a website, build an app, or learn a new skill: https://tutsplus.com/?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
Envato Elements
All the creative assets you need under one subscription. Customize your project by adding unique photos, fonts, graphics, and themes.
► Download Unlimited Stock Photos, Fonts & Templates with Envato Elements: https://elements.envato.com/?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
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https://wn.com/What_Is_Visual_Hierarchy
Understanding visual hierarchy is crucial when learning graphic design, layout design, UI design, motion design, or any other visual communication medium. Learn all about it in this video. ► Download unlimited photos, fonts, and templates with Envato Elements: https://elements.envato.com/?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
In visual communication, we don’t get a lot of time to convey a message. In addition, our vocabulary of design elements is highly subjective and open to viewer interpretation. So visual hierarchy is a great tool to help you communicate clearly. It governs how the elements of a composition are organized to guide the viewer's eye and ensure they receive the message the designer intended.
Read more on visual hierarchy on Envato Tuts+: https://design.tutsplus.com/articles/what-is-visual-hierarcy--cms-107169?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Envato Tuts+
Discover free how-to tutorials and online courses. Design a logo, create a website, build an app, or learn a new skill: https://tutsplus.com/?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
Envato Elements
All the creative assets you need under one subscription. Customize your project by adding unique photos, fonts, graphics, and themes.
► Download Unlimited Stock Photos, Fonts & Templates with Envato Elements: https://elements.envato.com/?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
► Subscribe to Envato Tuts+ on YouTube: https://www.youtube.com/tutsplus
► Follow Envato Tuts+ on Twitter: https://twitter.com/envato
► Follow Envato on Facebook: https://www.facebook.com/envato
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- published: 20 Jul 2023
- views: 41593
-
Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube 🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-mach...
published: 03 Jun 2019 -
But what is a neural network? | Deep learning chapter 1
What are the neurons, why are there layers, and what is the math underlying it? Help fund future projects: https://www.patreon.com/3blue1brown Written/interactive form of this series: https://www.3blue1brown.com/topics/neural-networks Additional funding for this project was provided by Amplify Partners Typo correction: At 14 minutes 45 seconds, the last index on the bias vector is n, when it's supposed to, in fact, be a k. Thanks for the sharp eyes that caught that! For those who want to learn more, I highly recommend the book by Michael Nielsen that introduces neural networks and deep learning: https://goo.gl/Zmczdy There are two neat things about this book. First, it's available for free, so consider joining me in making a donation to Nielsen if you get something out of it. And se...
published: 05 Oct 2017 -
Machine Learning vs Deep Learning
Learn about watsonx → https://ibm.biz/BdvxDm Get a unique perspective on what the difference is between Machine Learning and Deep Learning - explained and illustrated in a delicious analogy of ordering pizza by IBMer and Master Inventor, Martin Keen. #AI #Software #ITModernization #DeepLearning #MachineLearning
published: 31 Mar 2022 -
Deep Learning Crash Course for Beginners
Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code. You'll learn about Neural Networks, Machine Learning constructs like Supervised, Unsupervised and Reinforcement Learning, the various types of Neural Network architectures, and more. ✏️ Course developed by Jason Dsouza. Check out his YouTube channel: http://youtube.com/jasmcaus ❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba) ⭐️ Course Contents ⭐️ ⌨️ (0:00) Introduction ⌨️ (1:18) What is Deep Learning ⌨️ (5:25) Introduction to Neural Netwo...
published: 30 Jul 2020 -
Deep Learning Basics: Introduction and Overview
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo. INFO: Website: https://deeplearning.mit.edu GitHub: https://github.com/lexfridman/mit-deep-learning Slides: http://bit.ly/deep-learning-basics-slides Playlist: http://bit.ly/deep-learning-playlist Blog post: https://link.medium.com/TkE476jw2T OUTLINE: 0:00 - Introduction 0:53 - Deep learning in one slide 4:55 - History of ideas and tools 9:43 - Simple example i...
published: 11 Jan 2019 -
How I’d learn ML in 2024 (if I could start over)
Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/ In this video, I share how I would learn Machine Learning in 2024 if I could start over. For the past 3 years, I have been studying machine learning (and 2 years before that basic computer science), which has now led me to work with an amazing ex-Meta professor, collaborate with Google DeepMind researchers, and have interviews at amazing companies. Having learned from all of my failures and successes, this video breaks down how I would learn machine learning all over again, focusing on the essentials and learning from the best resources. Enjoy! 👉🏻 Book a one-on-one call https://calendly.com/boris-meinardus/consulting 👇🏻 Links to resources 👇🏻 ==== Maths ==== https://www.edx.org/learn/probability/har...
published: 26 Nov 2023 -
MIT Introduction to Deep Learning (2023) | 6.S191
MIT Introduction to Deep Learning 6.S191: Lecture 1 Foundations of Deep Learning Lecturer: Alexander Amini 2023 Edition For all lectures, slides, and lab materials: http://introtodeeplearning.com/ Lecture Outline 0:00 - Introduction 8:14 - Course information 11:33 - Why deep learning? 14:48 - The perceptron 20:06 - Perceptron example 23:14 - From perceptrons to neural networks 29:34 - Applying neural networks 32:29 - Loss functions 35:12 - Training and gradient descent 40:25 - Backpropagation 44:05 - Setting the learning rate 48:09 - Batched gradient descent 51:25 - Regularization: dropout and early stopping 57:16 - Summary Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connecte...
published: 10 Mar 2023 -
Neural Networks and Deep Learning: Crash Course AI #3
You can learn more about CuriosityStream at https://curiositystream.com/crashcourse. Today, we're going to combine the artificial neuron we created last week into an artificial neural network. Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of these networks work and how using many hidden layers allows us to do deep learning. Neural networks are really powerful at finding patterns in data which is why they've become one of the most dominant machine learning technologies used today. Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse Thanks to the following patrons for their generous monthly...
published: 23 Aug 2019 -
PyTorch for Deep Learning & Machine Learning – Full Course
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python. ✏️ Daniel Bourke developed this course. Check out his channel: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ 🔗 Code: https://github.com/mrdbourke/pytorch-deep-learning 🔗 Ask a question: https://github.com/mrdbourke/pytorch-deep-learning/discussions 🔗 Course materials online: https://learnpytorch.io 🔗 Full course on Zero to Mastery (20+ hours more video): https://dbourke.link/ZTMPyTorch Some sections below have been left out because of the YouTube limit for timestamps. 0:00:00 Introduction 🛠 Chapter 0 – PyTorch Fundamentals 0:01:45 0. Welcome and "what is deep learning?" 0:07:41 1. Why use machine/deep learning? 0:11:15 2. The number one rule...
published: 06 Oct 2022 -
Machine Learning Explained in 100 Seconds
Machine Learning is the process of teaching a computer how perform a task with out explicitly programming it. The process feeds algorithms with large amounts of data to gradually improve predictive performance. #ai #python #100SecondsOfCode 🔗 Resources Machine Learning Tutorials https://fireship.io/tags/machine-learning/ What is ML https://www.ibm.com/cloud/learn/machine-learning Neural Networks https://towardsdatascience.com/a-beginners-guide-to-convolutional-neural-networks-cnns-14649dbddce8 ML Wiki https://en.wikipedia.org/wiki/Machine_learning 🔥 Watch more with Fireship PRO Upgrade to Fireship PRO at https://fireship.io/pro Use code lORhwXd2 for 25% off your first payment. 🎨 My Editor Settings - Atom One Dark - vscode-icons - Fira Code Font Topics Covered - Convolutional N...
published: 09 Sep 2021
5:52
Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn
- Order: Reorder
- Duration: 5:52
- Uploaded Date: 03 Jun 2019
- views: 1471712
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFol...
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
This video on What is Deep Learningprovides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.
Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip
#DeepLearning #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn
Why Deep Learning?
It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.
➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Tools Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…
👉 Learn More At:
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
https://wn.com/Deep_Learning_|_What_Is_Deep_Learning_|_Deep_Learning_Tutorial_For_Beginners_|_2023_|_Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
This video on What is Deep Learningprovides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.
Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip
#DeepLearning #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn
Why Deep Learning?
It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.
➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Tools Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…
👉 Learn More At:
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
- published: 03 Jun 2019
- views: 1471712
18:40
But what is a neural network? | Deep learning chapter 1
- Order: Reorder
- Duration: 18:40
- Uploaded Date: 05 Oct 2017
- views: 19164287
What are the neurons, why are there layers, and what is the math underlying it?
Help fund future projects: https://www.patreon.com/3blue1brown
Written/interacti...
What are the neurons, why are there layers, and what is the math underlying it?
Help fund future projects: https://www.patreon.com/3blue1brown
Written/interactive form of this series: https://www.3blue1brown.com/topics/neural-networks
Additional funding for this project was provided by Amplify Partners
Typo correction: At 14 minutes 45 seconds, the last index on the bias vector is n, when it's supposed to, in fact, be a k. Thanks for the sharp eyes that caught that!
For those who want to learn more, I highly recommend the book by Michael Nielsen that introduces neural networks and deep learning: https://goo.gl/Zmczdy
There are two neat things about this book. First, it's available for free, so consider joining me in making a donation to Nielsen if you get something out of it. And second, it's centered around walking through some code and data, which you can download yourself, and which covers the same example that I introduce in this video. Yay for active learning!
https://github.com/mnielsen/neural-networks-and-deep-learning
I also highly recommend Chris Olah's blog: http://colah.github.io/
For more videos, Welch Labs also has some great series on machine learning:
https://youtu.be/i8D90DkCLhI
https://youtu.be/bxe2T-V8XRs
For those of you looking to go *even* deeper, check out the text "Deep Learning" by Goodfellow, Bengio, and Courville.
Also, the publication Distill is just utterly beautiful: https://distill.pub/
Lion photo by Kevin Pluck
Звуковая дорожка на русском языке: Влад Бурмистров.
Thanks to these viewers for their contributions to translations
German: @fpgro
Hebrew: Omer Tuchfeld
Hungarian: Máté Kaszap
Italian: @teobucci, Teo Bucci
-----------------
Timeline:
0:00 - Introduction example
1:07 - Series preview
2:42 - What are neurons?
3:35 - Introducing layers
5:31 - Why layers?
8:38 - Edge detection example
11:34 - Counting weights and biases
12:30 - How learning relates
13:26 - Notation and linear algebra
15:17 - Recap
16:27 - Some final words
17:03 - ReLU vs Sigmoid
Correction 14:45 - The final index on the bias vector should be "k"
------------------
Animations largely made using manim, a scrappy open source python library. https://github.com/3b1b/manim
If you want to check it out, I feel compelled to warn you that it's not the most well-documented tool, and has many other quirks you might expect in a library someone wrote with only their own use in mind.
Music by Vincent Rubinetti.
Download the music on Bandcamp:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
Stream the music on Spotify:
https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lessons accessible to more people.
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown
https://wn.com/But_What_Is_A_Neural_Network_|_Deep_Learning_Chapter_1
What are the neurons, why are there layers, and what is the math underlying it?
Help fund future projects: https://www.patreon.com/3blue1brown
Written/interactive form of this series: https://www.3blue1brown.com/topics/neural-networks
Additional funding for this project was provided by Amplify Partners
Typo correction: At 14 minutes 45 seconds, the last index on the bias vector is n, when it's supposed to, in fact, be a k. Thanks for the sharp eyes that caught that!
For those who want to learn more, I highly recommend the book by Michael Nielsen that introduces neural networks and deep learning: https://goo.gl/Zmczdy
There are two neat things about this book. First, it's available for free, so consider joining me in making a donation to Nielsen if you get something out of it. And second, it's centered around walking through some code and data, which you can download yourself, and which covers the same example that I introduce in this video. Yay for active learning!
https://github.com/mnielsen/neural-networks-and-deep-learning
I also highly recommend Chris Olah's blog: http://colah.github.io/
For more videos, Welch Labs also has some great series on machine learning:
https://youtu.be/i8D90DkCLhI
https://youtu.be/bxe2T-V8XRs
For those of you looking to go *even* deeper, check out the text "Deep Learning" by Goodfellow, Bengio, and Courville.
Also, the publication Distill is just utterly beautiful: https://distill.pub/
Lion photo by Kevin Pluck
Звуковая дорожка на русском языке: Влад Бурмистров.
Thanks to these viewers for their contributions to translations
German: @fpgro
Hebrew: Omer Tuchfeld
Hungarian: Máté Kaszap
Italian: @teobucci, Teo Bucci
-----------------
Timeline:
0:00 - Introduction example
1:07 - Series preview
2:42 - What are neurons?
3:35 - Introducing layers
5:31 - Why layers?
8:38 - Edge detection example
11:34 - Counting weights and biases
12:30 - How learning relates
13:26 - Notation and linear algebra
15:17 - Recap
16:27 - Some final words
17:03 - ReLU vs Sigmoid
Correction 14:45 - The final index on the bias vector should be "k"
------------------
Animations largely made using manim, a scrappy open source python library. https://github.com/3b1b/manim
If you want to check it out, I feel compelled to warn you that it's not the most well-documented tool, and has many other quirks you might expect in a library someone wrote with only their own use in mind.
Music by Vincent Rubinetti.
Download the music on Bandcamp:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
Stream the music on Spotify:
https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lessons accessible to more people.
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
Patreon: https://patreon.com/3blue1brown
Facebook: https://www.facebook.com/3blue1brown
Reddit: https://www.reddit.com/r/3Blue1Brown
- published: 05 Oct 2017
- views: 19164287
7:50
Machine Learning vs Deep Learning
- Order: Reorder
- Duration: 7:50
- Uploaded Date: 31 Mar 2022
- views: 795377
Learn about watsonx → https://ibm.biz/BdvxDm
Get a unique perspective on what the difference is between Machine Learning and Deep Learning - explained and ill...
Learn about watsonx → https://ibm.biz/BdvxDm
Get a unique perspective on what the difference is between Machine Learning and Deep Learning - explained and illustrated in a delicious analogy of ordering pizza by IBMer and Master Inventor, Martin Keen.
#AI #Software #ITModernization #DeepLearning #MachineLearning
https://wn.com/Machine_Learning_Vs_Deep_Learning
Learn about watsonx → https://ibm.biz/BdvxDm
Get a unique perspective on what the difference is between Machine Learning and Deep Learning - explained and illustrated in a delicious analogy of ordering pizza by IBMer and Master Inventor, Martin Keen.
#AI #Software #ITModernization #DeepLearning #MachineLearning
- published: 31 Mar 2022
- views: 795377
1:25:39
Deep Learning Crash Course for Beginners
- Order: Reorder
- Duration: 1:25:39
- Uploaded Date: 30 Jul 2020
- views: 900326
Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experi...
Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code.
You'll learn about Neural Networks, Machine Learning constructs like Supervised, Unsupervised and Reinforcement Learning, the various types of Neural Network architectures, and more.
✏️ Course developed by Jason Dsouza. Check out his YouTube channel: http://youtube.com/jasmcaus
❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba)
⭐️ Course Contents ⭐️
⌨️ (0:00) Introduction
⌨️ (1:18) What is Deep Learning
⌨️ (5:25) Introduction to Neural Networks
⌨️ (6:12) How do Neural Networks LEARN?
⌨️ (12:06) Core terminologies used in Deep Learning
⌨️ (12:11) Activation Functions
⌨️ (22:36) Loss Functions
⌨️ (23:42) Optimizers
⌨️ (30:10) Parameters vs Hyperparameters
⌨️ (32:03) Epochs, Batches & Iterations
⌨️ (34:24) Conclusion to Terminologies
⌨️ (35:18) Introduction to Learning
⌨️ (35:34) Supervised Learning
⌨️ (40:21) Unsupervised Learning
⌨️ (43:38) Reinforcement Learning
⌨️ (46:25) Regularization
⌨️ (51:25) Introduction to Neural Network Architectures
⌨️ (51:37) Fully-Connected Feedforward Neural Nets
⌨️ (54:05) Recurrent Neural Nets
⌨️ (1:04:40) Convolutional Neural Nets
⌨️ (1:08:07) Introduction to the 5 Steps to EVERY Deep Learning Model
⌨️ (1:08:23) 1. Gathering Data
⌨️ (1:11:27) 2. Preprocessing the Data
⌨️ (1:19:05) 3. Training your Model
⌨️ (1:19:33) 4. Evaluating your Model
⌨️ (1:19:55) 5. Optimizing your Model's Accuracy
⌨️ (1:25:15) Conclusion to the Course
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
https://wn.com/Deep_Learning_Crash_Course_For_Beginners
Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code.
You'll learn about Neural Networks, Machine Learning constructs like Supervised, Unsupervised and Reinforcement Learning, the various types of Neural Network architectures, and more.
✏️ Course developed by Jason Dsouza. Check out his YouTube channel: http://youtube.com/jasmcaus
❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba)
⭐️ Course Contents ⭐️
⌨️ (0:00) Introduction
⌨️ (1:18) What is Deep Learning
⌨️ (5:25) Introduction to Neural Networks
⌨️ (6:12) How do Neural Networks LEARN?
⌨️ (12:06) Core terminologies used in Deep Learning
⌨️ (12:11) Activation Functions
⌨️ (22:36) Loss Functions
⌨️ (23:42) Optimizers
⌨️ (30:10) Parameters vs Hyperparameters
⌨️ (32:03) Epochs, Batches & Iterations
⌨️ (34:24) Conclusion to Terminologies
⌨️ (35:18) Introduction to Learning
⌨️ (35:34) Supervised Learning
⌨️ (40:21) Unsupervised Learning
⌨️ (43:38) Reinforcement Learning
⌨️ (46:25) Regularization
⌨️ (51:25) Introduction to Neural Network Architectures
⌨️ (51:37) Fully-Connected Feedforward Neural Nets
⌨️ (54:05) Recurrent Neural Nets
⌨️ (1:04:40) Convolutional Neural Nets
⌨️ (1:08:07) Introduction to the 5 Steps to EVERY Deep Learning Model
⌨️ (1:08:23) 1. Gathering Data
⌨️ (1:11:27) 2. Preprocessing the Data
⌨️ (1:19:05) 3. Training your Model
⌨️ (1:19:33) 4. Evaluating your Model
⌨️ (1:19:55) 5. Optimizing your Model's Accuracy
⌨️ (1:25:15) Conclusion to the Course
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
- published: 30 Jul 2020
- views: 900326
1:08:06
Deep Learning Basics: Introduction and Overview
- Order: Reorder
- Duration: 1:08:06
- Uploaded Date: 11 Jan 2019
- views: 2419677
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks ha...
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.
INFO:
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-deep-learning
Slides: http://bit.ly/deep-learning-basics-slides
Playlist: http://bit.ly/deep-learning-playlist
Blog post: https://link.medium.com/TkE476jw2T
OUTLINE:
0:00 - Introduction
0:53 - Deep learning in one slide
4:55 - History of ideas and tools
9:43 - Simple example in TensorFlow
11:36 - TensorFlow in one slide
13:32 - Deep learning is representation learning
16:02 - Why deep learning (and why not)
22:00 - Challenges for supervised learning
38:27 - Key low-level concepts
46:15 - Higher-level methods
1:06:00 - Toward artificial general intelligence
CONNECT:
- If you enjoyed this video, please subscribe to this channel.
- Twitter: https://twitter.com/lexfridman
- LinkedIn: https://www.linkedin.com/in/lexfridman
- Facebook: https://www.facebook.com/lexfridman
- Instagram: https://www.instagram.com/lexfridman
https://wn.com/Deep_Learning_Basics_Introduction_And_Overview
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.
INFO:
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-deep-learning
Slides: http://bit.ly/deep-learning-basics-slides
Playlist: http://bit.ly/deep-learning-playlist
Blog post: https://link.medium.com/TkE476jw2T
OUTLINE:
0:00 - Introduction
0:53 - Deep learning in one slide
4:55 - History of ideas and tools
9:43 - Simple example in TensorFlow
11:36 - TensorFlow in one slide
13:32 - Deep learning is representation learning
16:02 - Why deep learning (and why not)
22:00 - Challenges for supervised learning
38:27 - Key low-level concepts
46:15 - Higher-level methods
1:06:00 - Toward artificial general intelligence
CONNECT:
- If you enjoyed this video, please subscribe to this channel.
- Twitter: https://twitter.com/lexfridman
- LinkedIn: https://www.linkedin.com/in/lexfridman
- Facebook: https://www.facebook.com/lexfridman
- Instagram: https://www.instagram.com/lexfridman
- published: 11 Jan 2019
- views: 2419677
7:05
How I’d learn ML in 2024 (if I could start over)
- Order: Reorder
- Duration: 7:05
- Uploaded Date: 26 Nov 2023
- views: 1361106
Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/
In this video, I share how I would learn Machine Learning in 2024 if I...
Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/
In this video, I share how I would learn Machine Learning in 2024 if I could start over.
For the past 3 years, I have been studying machine learning (and 2 years before that basic computer science), which has now led me to work with an amazing ex-Meta professor, collaborate with Google DeepMind researchers, and have interviews at amazing companies.
Having learned from all of my failures and successes, this video breaks down how I would learn machine learning all over again, focusing on the essentials and learning from the best resources.
Enjoy!
👉🏻 Book a one-on-one call
https://calendly.com/boris-meinardus/consulting
👇🏻 Links to resources 👇🏻
==== Maths ====
https://www.edx.org/learn/probability/harvard-university-introduction-to-probability
https://www.edx.org/learn/linear-algebra/the-university-of-texas-at-austin-linear-algebra-foundations-to-frontiers
https://www.coursera.org/learn/matrix-algebra-engineers?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeNXFjUFXWo0&irgwc=1
==== ML/ DL ====
https://www.coursera.org/specializations/machine-learning-introduction#courses
https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
https://www.coursera.org/specializations/deep-learning?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeu01jUFXWo0&irgwc=1#courses
https://huggingface.co/learn/nlp-course/chapter1/1
⬇️ Follow me on my other socials and feel free to DM questions! ⬇️
⚫⚪ Medium: https://medium.com/@boris.meinardus
🐦 Twitter: https://twitter.com/BorisMeinardus
================== Timestamps ================
00:00 - Intro
00:40 - Python
01:29 - Maths
02:47 - ML Developer Stack
04:00 - Learn Machine Learning
06:06 - How To Really Get Good
=============================================
#ai #learning #machinelearning
https://wn.com/How_I’D_Learn_Ml_In_2024_(If_I_Could_Start_Over)
Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/
In this video, I share how I would learn Machine Learning in 2024 if I could start over.
For the past 3 years, I have been studying machine learning (and 2 years before that basic computer science), which has now led me to work with an amazing ex-Meta professor, collaborate with Google DeepMind researchers, and have interviews at amazing companies.
Having learned from all of my failures and successes, this video breaks down how I would learn machine learning all over again, focusing on the essentials and learning from the best resources.
Enjoy!
👉🏻 Book a one-on-one call
https://calendly.com/boris-meinardus/consulting
👇🏻 Links to resources 👇🏻
==== Maths ====
https://www.edx.org/learn/probability/harvard-university-introduction-to-probability
https://www.edx.org/learn/linear-algebra/the-university-of-texas-at-austin-linear-algebra-foundations-to-frontiers
https://www.coursera.org/learn/matrix-algebra-engineers?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeNXFjUFXWo0&irgwc=1
==== ML/ DL ====
https://www.coursera.org/specializations/machine-learning-introduction#courses
https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
https://www.coursera.org/specializations/deep-learning?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeu01jUFXWo0&irgwc=1#courses
https://huggingface.co/learn/nlp-course/chapter1/1
⬇️ Follow me on my other socials and feel free to DM questions! ⬇️
⚫⚪ Medium: https://medium.com/@boris.meinardus
🐦 Twitter: https://twitter.com/BorisMeinardus
================== Timestamps ================
00:00 - Intro
00:40 - Python
01:29 - Maths
02:47 - ML Developer Stack
04:00 - Learn Machine Learning
06:06 - How To Really Get Good
=============================================
#ai #learning #machinelearning
- published: 26 Nov 2023
- views: 1361106
58:12
MIT Introduction to Deep Learning (2023) | 6.S191
- Order: Reorder
- Duration: 58:12
- Uploaded Date: 10 Mar 2023
- views: 1988393
MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
2023 Edition
For all lectures, slides, and lab mater...
MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
2023 Edition
For all lectures, slides, and lab materials: http://introtodeeplearning.com/
Lecture Outline
0:00 - Introduction
8:14 - Course information
11:33 - Why deep learning?
14:48 - The perceptron
20:06 - Perceptron example
23:14 - From perceptrons to neural networks
29:34 - Applying neural networks
32:29 - Loss functions
35:12 - Training and gradient descent
40:25 - Backpropagation
44:05 - Setting the learning rate
48:09 - Batched gradient descent
51:25 - Regularization: dropout and early stopping
57:16 - Summary
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
https://wn.com/Mit_Introduction_To_Deep_Learning_(2023)_|_6.S191
MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
2023 Edition
For all lectures, slides, and lab materials: http://introtodeeplearning.com/
Lecture Outline
0:00 - Introduction
8:14 - Course information
11:33 - Why deep learning?
14:48 - The perceptron
20:06 - Perceptron example
23:14 - From perceptrons to neural networks
29:34 - Applying neural networks
32:29 - Loss functions
35:12 - Training and gradient descent
40:25 - Backpropagation
44:05 - Setting the learning rate
48:09 - Batched gradient descent
51:25 - Regularization: dropout and early stopping
57:16 - Summary
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
- published: 10 Mar 2023
- views: 1988393
12:23
Neural Networks and Deep Learning: Crash Course AI #3
- Order: Reorder
- Duration: 12:23
- Uploaded Date: 23 Aug 2019
- views: 353350
You can learn more about CuriosityStream at https://curiositystream.com/crashcourse.
Today, we're going to combine the artificial neuron we created last week i...
You can learn more about CuriosityStream at https://curiositystream.com/crashcourse.
Today, we're going to combine the artificial neuron we created last week into an artificial neural network. Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of these networks work and how using many hidden layers allows us to do deep learning. Neural networks are really powerful at finding patterns in data which is why they've become one of the most dominant machine learning technologies used today.
Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse
Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:
Eric Prestemon, Sam Buck, Mark Brouwer, Timothy J Kwist, Brian Thomas Gossett, Haxiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Zach Van Stanley, Bob Doye, Jennifer Killen, Nathan Catchings, Brandon Westmoreland, dorsey, Indika Siriwardena, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Khaled El Shalakany, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, David Noe, Shawn Arnold, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore
--
Want to find Crash Course elsewhere on the internet?
Facebook - http://www.facebook.com/YouTubeCrashCourse
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids
#CrashCourse #ArtificialIntelligence #MachineLearning
https://wn.com/Neural_Networks_And_Deep_Learning_Crash_Course_Ai_3
You can learn more about CuriosityStream at https://curiositystream.com/crashcourse.
Today, we're going to combine the artificial neuron we created last week into an artificial neural network. Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of these networks work and how using many hidden layers allows us to do deep learning. Neural networks are really powerful at finding patterns in data which is why they've become one of the most dominant machine learning technologies used today.
Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse
Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:
Eric Prestemon, Sam Buck, Mark Brouwer, Timothy J Kwist, Brian Thomas Gossett, Haxiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Zach Van Stanley, Bob Doye, Jennifer Killen, Nathan Catchings, Brandon Westmoreland, dorsey, Indika Siriwardena, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Khaled El Shalakany, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, David Noe, Shawn Arnold, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore
--
Want to find Crash Course elsewhere on the internet?
Facebook - http://www.facebook.com/YouTubeCrashCourse
Twitter - http://www.twitter.com/TheCrashCourse
Tumblr - http://thecrashcourse.tumblr.com
Support Crash Course on Patreon: http://patreon.com/crashcourse
CC Kids: http://www.youtube.com/crashcoursekids
#CrashCourse #ArtificialIntelligence #MachineLearning
- published: 23 Aug 2019
- views: 353350
0:00
PyTorch for Deep Learning & Machine Learning – Full Course
- Order: Reorder
- Duration: 0:00
- Uploaded Date: 06 Oct 2022
- views: 2307320
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
✏️ Daniel Bourke develop...
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
✏️ Daniel Bourke developed this course. Check out his channel: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ
🔗 Code: https://github.com/mrdbourke/pytorch-deep-learning
🔗 Ask a question: https://github.com/mrdbourke/pytorch-deep-learning/discussions
🔗 Course materials online: https://learnpytorch.io
🔗 Full course on Zero to Mastery (20+ hours more video): https://dbourke.link/ZTMPyTorch
Some sections below have been left out because of the YouTube limit for timestamps.
0:00:00 Introduction
🛠 Chapter 0 – PyTorch Fundamentals
0:01:45 0. Welcome and "what is deep learning?"
0:07:41 1. Why use machine/deep learning?
0:11:15 2. The number one rule of ML
0:16:55 3. Machine learning vs deep learning
0:23:02 4. Anatomy of neural networks
0:32:24 5. Different learning paradigms
0:36:56 6. What can deep learning be used for?
0:43:18 7. What is/why PyTorch?
0:53:33 8. What are tensors?
0:57:52 9. Outline
1:03:56 10. How to (and how not to) approach this course
1:09:05 11. Important resources
1:14:28 12. Getting setup
1:22:08 13. Introduction to tensors
1:35:35 14. Creating tensors
1:54:01 17. Tensor datatypes
2:03:26 18. Tensor attributes (information about tensors)
2:11:50 19. Manipulating tensors
2:17:50 20. Matrix multiplication
2:48:18 23. Finding the min, max, mean & sum
2:57:48 25. Reshaping, viewing and stacking
3:11:31 26. Squeezing, unsqueezing and permuting
3:23:28 27. Selecting data (indexing)
3:33:01 28. PyTorch and NumPy
3:42:10 29. Reproducibility
3:52:58 30. Accessing a GPU
4:04:49 31. Setting up device agnostic code
🗺 Chapter 1 – PyTorch Workflow
4:17:27 33. Introduction to PyTorch Workflow
4:20:14 34. Getting setup
4:27:30 35. Creating a dataset with linear regression
4:37:12 36. Creating training and test sets (the most important concept in ML)
4:53:18 38. Creating our first PyTorch model
5:13:41 40. Discussing important model building classes
5:20:09 41. Checking out the internals of our model
5:30:01 42. Making predictions with our model
5:41:15 43. Training a model with PyTorch (intuition building)
5:49:31 44. Setting up a loss function and optimizer
6:02:24 45. PyTorch training loop intuition
6:40:05 48. Running our training loop epoch by epoch
6:49:31 49. Writing testing loop code
7:15:53 51. Saving/loading a model
7:44:28 54. Putting everything together
🤨 Chapter 2 – Neural Network Classification
8:32:00 60. Introduction to machine learning classification
8:41:42 61. Classification input and outputs
8:50:50 62. Architecture of a classification neural network
9:09:41 64. Turing our data into tensors
9:25:58 66. Coding a neural network for classification data
9:43:55 68. Using torch.nn.Sequential
9:57:13 69. Loss, optimizer and evaluation functions for classification
10:12:05 70. From model logits to prediction probabilities to prediction labels
10:28:13 71. Train and test loops
10:57:55 73. Discussing options to improve a model
11:27:52 76. Creating a straight line dataset
11:46:02 78. Evaluating our model's predictions
11:51:26 79. The missing piece – non-linearity
12:42:32 84. Putting it all together with a multiclass problem
13:24:09 88. Troubleshooting a mutli-class model
😎 Chapter 3 – Computer Vision
14:00:48 92. Introduction to computer vision
14:12:36 93. Computer vision input and outputs
14:22:46 94. What is a convolutional neural network?
14:27:49 95. TorchVision
14:37:10 96. Getting a computer vision dataset
15:01:34 98. Mini-batches
15:08:52 99. Creating DataLoaders
15:52:01 103. Training and testing loops for batched data
16:26:27 105. Running experiments on the GPU
16:30:14 106. Creating a model with non-linear functions
16:42:23 108. Creating a train/test loop
17:13:32 112. Convolutional neural networks (overview)
17:21:57 113. Coding a CNN
17:41:46 114. Breaking down nn.Conv2d/nn.MaxPool2d
18:29:02 118. Training our first CNN
18:44:22 120. Making predictions on random test samples
18:56:01 121. Plotting our best model predictions
19:19:34 123. Evaluating model predictions with a confusion matrix
🗃 Chapter 4 – Custom Datasets
19:44:05 126. Introduction to custom datasets
19:59:54 128. Downloading a custom dataset of pizza, steak and sushi images
20:13:59 129. Becoming one with the data
20:39:11 132. Turning images into tensors
21:16:16 136. Creating image DataLoaders
21:25:20 137. Creating a custom dataset class (overview)
21:42:29 139. Writing a custom dataset class from scratch
22:21:50 142. Turning custom datasets into DataLoaders
22:28:50 143. Data augmentation
22:43:14 144. Building a baseline model
23:11:07 147. Getting a summary of our model with torchinfo
23:17:46 148. Creating training and testing loop functions
23:50:59 151. Plotting model 0 loss curves
24:00:02 152. Overfitting and underfitting
24:32:31 155. Plotting model 1 loss curves
24:35:53 156. Plotting all the loss curves
24:46:50 157. Predicting on custom data
https://wn.com/Pytorch_For_Deep_Learning_Machine_Learning_–_Full_Course
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
✏️ Daniel Bourke developed this course. Check out his channel: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ
🔗 Code: https://github.com/mrdbourke/pytorch-deep-learning
🔗 Ask a question: https://github.com/mrdbourke/pytorch-deep-learning/discussions
🔗 Course materials online: https://learnpytorch.io
🔗 Full course on Zero to Mastery (20+ hours more video): https://dbourke.link/ZTMPyTorch
Some sections below have been left out because of the YouTube limit for timestamps.
0:00:00 Introduction
🛠 Chapter 0 – PyTorch Fundamentals
0:01:45 0. Welcome and "what is deep learning?"
0:07:41 1. Why use machine/deep learning?
0:11:15 2. The number one rule of ML
0:16:55 3. Machine learning vs deep learning
0:23:02 4. Anatomy of neural networks
0:32:24 5. Different learning paradigms
0:36:56 6. What can deep learning be used for?
0:43:18 7. What is/why PyTorch?
0:53:33 8. What are tensors?
0:57:52 9. Outline
1:03:56 10. How to (and how not to) approach this course
1:09:05 11. Important resources
1:14:28 12. Getting setup
1:22:08 13. Introduction to tensors
1:35:35 14. Creating tensors
1:54:01 17. Tensor datatypes
2:03:26 18. Tensor attributes (information about tensors)
2:11:50 19. Manipulating tensors
2:17:50 20. Matrix multiplication
2:48:18 23. Finding the min, max, mean & sum
2:57:48 25. Reshaping, viewing and stacking
3:11:31 26. Squeezing, unsqueezing and permuting
3:23:28 27. Selecting data (indexing)
3:33:01 28. PyTorch and NumPy
3:42:10 29. Reproducibility
3:52:58 30. Accessing a GPU
4:04:49 31. Setting up device agnostic code
🗺 Chapter 1 – PyTorch Workflow
4:17:27 33. Introduction to PyTorch Workflow
4:20:14 34. Getting setup
4:27:30 35. Creating a dataset with linear regression
4:37:12 36. Creating training and test sets (the most important concept in ML)
4:53:18 38. Creating our first PyTorch model
5:13:41 40. Discussing important model building classes
5:20:09 41. Checking out the internals of our model
5:30:01 42. Making predictions with our model
5:41:15 43. Training a model with PyTorch (intuition building)
5:49:31 44. Setting up a loss function and optimizer
6:02:24 45. PyTorch training loop intuition
6:40:05 48. Running our training loop epoch by epoch
6:49:31 49. Writing testing loop code
7:15:53 51. Saving/loading a model
7:44:28 54. Putting everything together
🤨 Chapter 2 – Neural Network Classification
8:32:00 60. Introduction to machine learning classification
8:41:42 61. Classification input and outputs
8:50:50 62. Architecture of a classification neural network
9:09:41 64. Turing our data into tensors
9:25:58 66. Coding a neural network for classification data
9:43:55 68. Using torch.nn.Sequential
9:57:13 69. Loss, optimizer and evaluation functions for classification
10:12:05 70. From model logits to prediction probabilities to prediction labels
10:28:13 71. Train and test loops
10:57:55 73. Discussing options to improve a model
11:27:52 76. Creating a straight line dataset
11:46:02 78. Evaluating our model's predictions
11:51:26 79. The missing piece – non-linearity
12:42:32 84. Putting it all together with a multiclass problem
13:24:09 88. Troubleshooting a mutli-class model
😎 Chapter 3 – Computer Vision
14:00:48 92. Introduction to computer vision
14:12:36 93. Computer vision input and outputs
14:22:46 94. What is a convolutional neural network?
14:27:49 95. TorchVision
14:37:10 96. Getting a computer vision dataset
15:01:34 98. Mini-batches
15:08:52 99. Creating DataLoaders
15:52:01 103. Training and testing loops for batched data
16:26:27 105. Running experiments on the GPU
16:30:14 106. Creating a model with non-linear functions
16:42:23 108. Creating a train/test loop
17:13:32 112. Convolutional neural networks (overview)
17:21:57 113. Coding a CNN
17:41:46 114. Breaking down nn.Conv2d/nn.MaxPool2d
18:29:02 118. Training our first CNN
18:44:22 120. Making predictions on random test samples
18:56:01 121. Plotting our best model predictions
19:19:34 123. Evaluating model predictions with a confusion matrix
🗃 Chapter 4 – Custom Datasets
19:44:05 126. Introduction to custom datasets
19:59:54 128. Downloading a custom dataset of pizza, steak and sushi images
20:13:59 129. Becoming one with the data
20:39:11 132. Turning images into tensors
21:16:16 136. Creating image DataLoaders
21:25:20 137. Creating a custom dataset class (overview)
21:42:29 139. Writing a custom dataset class from scratch
22:21:50 142. Turning custom datasets into DataLoaders
22:28:50 143. Data augmentation
22:43:14 144. Building a baseline model
23:11:07 147. Getting a summary of our model with torchinfo
23:17:46 148. Creating training and testing loop functions
23:50:59 151. Plotting model 0 loss curves
24:00:02 152. Overfitting and underfitting
24:32:31 155. Plotting model 1 loss curves
24:35:53 156. Plotting all the loss curves
24:46:50 157. Predicting on custom data
- published: 06 Oct 2022
- views: 2307320
2:35
Machine Learning Explained in 100 Seconds
- Order: Reorder
- Duration: 2:35
- Uploaded Date: 09 Sep 2021
- views: 757602
Machine Learning is the process of teaching a computer how perform a task with out explicitly programming it. The process feeds algorithms with large amounts of...
Machine Learning is the process of teaching a computer how perform a task with out explicitly programming it. The process feeds algorithms with large amounts of data to gradually improve predictive performance.
#ai #python #100SecondsOfCode
🔗 Resources
Machine Learning Tutorials https://fireship.io/tags/machine-learning/
What is ML https://www.ibm.com/cloud/learn/machine-learning
Neural Networks https://towardsdatascience.com/a-beginners-guide-to-convolutional-neural-networks-cnns-14649dbddce8
ML Wiki https://en.wikipedia.org/wiki/Machine_learning
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🎨 My Editor Settings
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Topics Covered
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- Machine Learning Basics
- How Data Science Works
- Big Data and Feature Engineering
- Artificial Intelligence History
- Supervised Machine Learning
https://wn.com/Machine_Learning_Explained_In_100_Seconds
Machine Learning is the process of teaching a computer how perform a task with out explicitly programming it. The process feeds algorithms with large amounts of data to gradually improve predictive performance.
#ai #python #100SecondsOfCode
🔗 Resources
Machine Learning Tutorials https://fireship.io/tags/machine-learning/
What is ML https://www.ibm.com/cloud/learn/machine-learning
Neural Networks https://towardsdatascience.com/a-beginners-guide-to-convolutional-neural-networks-cnns-14649dbddce8
ML Wiki https://en.wikipedia.org/wiki/Machine_learning
🔥 Watch more with Fireship PRO
Upgrade to Fireship PRO at https://fireship.io/pro
Use code lORhwXd2 for 25% off your first payment.
🎨 My Editor Settings
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Topics Covered
- Convolutional Neural Networks
- Machine Learning Basics
- How Data Science Works
- Big Data and Feature Engineering
- Artificial Intelligence History
- Supervised Machine Learning
- published: 09 Sep 2021
- views: 757602
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6:56
6. Cisco IOS Command Hierarchy
CISCO IOS COMMAND HIERARCHY
1. User EXEC Commands
- denoted by "greater than sign"
...
published: 30 Oct 2022
6. Cisco IOS Command Hierarchy
6. Cisco IOS Command Hierarchy
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- published: 30 Oct 2022
- views: 90
CISCO IOS COMMAND HIERARCHY
1. User EXEC Commands
- denoted by "greater than sign"
- we can run commands here like: ping; show (limited); enable; etc.
2. Privileged EXEC Commands
- denoted by "#".
- we can run commands here like: all User EXEC commands; debug commands; reload; configure; etc.
3. Global Configuration Commands
- denoted by "(config)#
- we can run commands here like hostname; enable secret, bri; etc.
- inside global config we can also have the below commands:
*Interface Commands
- denoted by "(config-if)#
- we can run: ip address; encapsulation; shut/no shut; etc.
*Router Engine Commands
- denoted by "(config-router)#
- we can run: network; version; auto-summary; etc.
*Line Commands
- denoted by "(config-line)#
- can run: password; login; modem commands; etc.
5:19
Command hierarchy
A command hierarchy is a group of people dedicated to carrying out orders "from the top," ...
published: 12 Oct 2015
Command hierarchy
Command hierarchy
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- published: 12 Oct 2015
- views: 44
A command hierarchy is a group of people dedicated to carrying out orders "from the top," that is, of authority. It is part of a power structure: usually seen as the most vulnerable and also the most powerful part of it.
This video is targeted to blind users.
Attribution:
Article text available under CC-BY-SA
Creative Commons image source in video
1:14
identifying your location in the command hierarchy
published: 10 Feb 2024
identifying your location in the command hierarchy
identifying your location in the command hierarchy
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- published: 10 Feb 2024
- views: 4
38:19
Mastering the Johnson Controls CCT Software: Hybrid Activity & Command Hierarchy Tutorial
Hybrid activity and command hierarchy are concepts frequently used in the field of buildin...
published: 26 Sep 2023
Mastering the Johnson Controls CCT Software: Hybrid Activity & Command Hierarchy Tutorial
Mastering the Johnson Controls CCT Software: Hybrid Activity & Command Hierarchy Tutorial
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- published: 26 Sep 2023
- views: 1777
Hybrid activity and command hierarchy are concepts frequently used in the field of building automation and control systems, particularly in software platforms like the Johnson Controls CCT (Central Control Technology) software. These concepts are essential for creating efficient and responsive building control strategies, enabling seamless communication between various building automation components and ensuring that the entire system operates optimally.
**Hybrid Activity:**
Hybrid activity in building automation refers to the integration of different types of control strategies within a single system. These strategies can include time-based schedules, sensor-driven responses, and user-initiated commands. By combining these approaches, hybrid activity allows building managers to strike a balance between energy efficiency, occupant comfort, and operational requirements. For example, during peak hours, a hybrid activity system might prioritize energy-saving measures, while during off-peak hours, it could focus on maintaining comfort conditions.
**Command Hierarchy:**
Command hierarchy, on the other hand, deals with the organization and prioritization of commands issued to various building systems and devices. In building automation software, this hierarchy defines the order in which commands are executed and can include emergency commands, scheduled commands, and user-generated commands. This hierarchy ensures that critical actions, such as fire alarms or security breaches, take precedence over routine operations, like temperature adjustments or lighting control.
**How They Are Used in Programming:**
In programming for building automation systems like Johnson Controls CCT, hybrid activity and command hierarchy are essential for creating robust and adaptable control strategies. Here's how they are typically used:
1. **Efficient Resource Management:**
2. **Priority-Based Control:**
3. **User Interaction:**
4. **Customization:**
In summary, hybrid activity and command hierarchy are indispensable concepts in building automation programming. They empower developers to create flexible, efficient, and responsive control systems that cater to the dynamic needs of modern buildings while ensuring safety and user satisfaction. These principles are at the heart of advanced building automation software like Johnson Controls CCT, contributing to smarter, more sustainable building operations.
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1:00
The Pacifista's Command Hierarchy Explained
published: 11 Apr 2024
The Pacifista's Command Hierarchy Explained
The Pacifista's Command Hierarchy Explained
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- published: 11 Apr 2024
- views: 69
4:21
The Ashtar Command's Spiritual Hierarchy of Ascended Masters
The Ashtar Command, like all social groups, businesses, or clubs, has a hierarchy. This o...
published: 06 Dec 2013
The Ashtar Command's Spiritual Hierarchy of Ascended Masters
The Ashtar Command's Spiritual Hierarchy of Ascended Masters
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- published: 06 Dec 2013
- views: 88893
The Ashtar Command, like all social groups, businesses, or clubs, has a hierarchy. This one is a spiritual hierarchy based on spiritual achievements. Of course, most of the members come from civilizations other than our own, but some of our very own spiritual master's have ascended to join the Great White Brotherhood, also known as the Galactic Federation of Light. Learn more by watching the video, and please give us a comment and a Like and let us know what you thought! http://www.FringeFocus.tv
1:00
COMMAND Attention: Make Visual Hierarchy Work
Watch the full video: https://youtu.be/U0-Rq7lnEs4
Read the article: pimpmytype.com/hierar...
published: 02 Feb 2023
COMMAND Attention: Make Visual Hierarchy Work
COMMAND Attention: Make Visual Hierarchy Work
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- published: 02 Feb 2023
- views: 250
Watch the full video: https://youtu.be/U0-Rq7lnEs4
Read the article: pimpmytype.com/hierarchy
#typography #graphicdesign #shorts
0:40
What is hierarchy and chain of command?
Understanding Hierarchy and Chain of Command in Organizations • Hierarchy & Command • Lear...
published: 30 Mar 2024
What is hierarchy and chain of command?
What is hierarchy and chain of command?
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Understanding Hierarchy and Chain of Command in Organizations • Hierarchy & Command • Learn about the importance of hierarchy and chain of command in organizations for maintaining order, assigning responsibilities, and enhancing communication. Essential for operational effectiveness and personal career development.
28:11
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 ...
published: 24 Jul 2024
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
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UGC NET Public Administration | Hierarchy & Unity of Command by Varsha Mam | UGC NET 2024 JRFAdda
In this session of UGC NET 2024, Varsha Mam is teaching UGC NET Public Administration PYQs 2023 in One Class, this video is very important for UGC NET Preparation 2024.
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1:37
Military Hierarchy : Chain Of COMMAND
Train video of Military Hierarchy : Chain Of COMMAND...
Hello.. I am Baba Ganoush...Babus...
published: 17 Feb 2020
Military Hierarchy : Chain Of COMMAND
Military Hierarchy : Chain Of COMMAND
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- views: 151
Train video of Military Hierarchy : Chain Of COMMAND...
Hello.. I am Baba Ganoush...Babushka for short...
Bro... you watch video to see howto use chain Of COMMAND!!
Intro: Music Soviet March by Shane Ivers - httpswww.silvermansound.com
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Command hierarchy
A command hierarchy is a group of people who carry out orders based on authority within the group.. It can be viewed as part of a power structure, in which it is usually seen as the most vulnerable and also the most powerful part.
Chain of command
In a military context, the chain of command is the line of authority and responsibility along which orders are passed within a military unit and between different units. Orders are transmitted down the chain of command, from a higher-ranked soldier, such as a commissioned officer, to lower-ranked personnel who either execute the order personally or transmit it down the chain as appropriate, until it is received by those expected to execute it.
In general, military personnel give orders only to those directly below them in the chain of command and receive orders only from those directly above them. A service member who has difficulty executing a duty or order and appeals for relief directly to an officer above his immediate commander in the chain of command is likely to be disciplined for not observing the chain of command. Similarly, an officer is usually expected to give orders only to his or her direct subordinate, even if it is just to pass an order down to another service member lower in the chain of command than said subordinate.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Command_hierarchy
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1:33
Hierarchy | Official Trailer | Netflix [ENG SUB]
The top 0.01% of students control law and order at Jooshin High School, but a secretive tr...
published: 27 May 2024
Hierarchy | Official Trailer | Netflix [ENG SUB]
Hierarchy | Official Trailer | Netflix [ENG SUB]
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- published: 27 May 2024
- views: 1082485
The top 0.01% of students control law and order at Jooshin High School, but a secretive transfer student chips a crack in their indomitable world.
HIERARCHY is coming June 7, only on Netflix.
Watch Hierarchy on Netflix: https://www.netflix.com/title/81624365
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0:43
HIERARCHY Season 1 Ending Explained
The seventh episode of Hierarchy, a new Korean drama series on Netflix, ended with a post-...
published: 09 Jun 2024
HIERARCHY Season 1 Ending Explained
HIERARCHY Season 1 Ending Explained
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- published: 09 Jun 2024
- views: 32854
The seventh episode of Hierarchy, a new Korean drama series on Netflix, ended with a post-credits sequence that established the groundwork for season two, shocking redemptions, and big shocks. Originally slated to replace Elite on Netflix, Hierarchy veered further toward Pretty Little Liars in its use of high school murder mystery themes.
Due to copyright issues, the video has been trimmed, Follow the link for full video: https://www.youtube.com/watch?v=O_89k96GnuM
HIERARCHY Season 1 Ending Explained
#hierarchy #endingexplained #netflix #MediaBreakdown
0:36
The way he closed his eyes🤭 Satisfactory reaction 💯🔥 | Hierarchy | #hierarchy #kdrama #tension #lana
published: 11 Jun 2024
The way he closed his eyes🤭 Satisfactory reaction 💯🔥 | Hierarchy | #hierarchy #kdrama #tension #lana
The way he closed his eyes🤭 Satisfactory reaction 💯🔥 | Hierarchy | #hierarchy #kdrama #tension #lana
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- published: 11 Jun 2024
- views: 779651
0:26
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI|
#hierarc...
published: 07 Jun 2024
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI
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- published: 07 Jun 2024
- views: 243307
Their Chemistry | Hierarchy Netflix | leeChaeMin & rohjeongeui | 260607 BFSLEI|
#hierarchy #leechaemin #kimjaewon #rohjeongeui #netflix #netflixseries #kdrama #kdramascene #bfslei #bfsleiedit #bfsleipost
18:39
What is Hierarchy?
Let's have a talk about hierarchy.
Patreon: https://www.patreon.com/Anark
Tip: https://c...
published: 09 Jun 2023
What is Hierarchy?
What is Hierarchy?
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- views: 8223
Let's have a talk about hierarchy.
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1:08
Meet the Cast of 'Hierarchy' | Netflix [ENG SUB]
A mysterious transfer student disrupts the established order at Jooshin High School on HIE...
published: 06 Jun 2024
Meet the Cast of 'Hierarchy' | Netflix [ENG SUB]
Meet the Cast of 'Hierarchy' | Netflix [ENG SUB]
- Report rights infringement
- published: 06 Jun 2024
- views: 171729
A mysterious transfer student disrupts the established order at Jooshin High School on HIERARCHY, premiering June 7, only on Netflix
Watch Hierarchy on Netflix: https://www.netflix.com/title/81624364
Subscribe to Netflix K-Content: https://bit.ly/2IiIXqV
Follow Netflix K-Content on Instagram, Twitter, and Tiktok: @netflixkcontent
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2:48
Maslow's Hierarchy of Needs
Maslow's Hierarchy of Needs is a theory in psychology. It argues that there are five stage...
published: 06 Jan 2017
Maslow's Hierarchy of Needs
Maslow's Hierarchy of Needs
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- views: 3144913
Maslow's Hierarchy of Needs is a theory in psychology. It argues that there are five stages of human needs that motivate our behavior. #learn #motivation
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Script:
Abraham Maslow proposed his theory in 1943 after studying what he called exemplary people such as Albert Einstein or Eleanor Roosevelt.
STAGE 1
First, there are physiological needs, such as the need to breathe, eat, drink or sleep. The moment we got enough of that and we feel awake and our bellies are full, we get motivated by the next thing.
STAGE 2
Now we want safety. We try to earn money, build up resources and look for shelter that protects us against dangers. Once we are satisfied and feel safe, we have time to think about what we want next.
STAGE 3
At stage three we seek love and belonging. We desire to be close to family and friends, belong to a society or join a gang. But the moment we feel completely part of a group we already wish to be a little different than the rest.
At stage four we look for esteem, self-confidence, and respect from our peers. We want to be someone. If we have money, we buy a fancy watch. If we have a brain, we write or think or work a lot. Motivation to perform and compete is now at its highest. Students, sportsmen, and inventors excel. Neil Armstrong even flew to the moon.
STAGE 5
Only if we breathe and drink and eat and sleep enough and we feel safe and part of a group and still special, only then we can reach level five: self-actualization. Now we can relax, be creative, accept facts for what they are, give back or do whatever we want. No more pressure, unless of course there is trouble below.
If you are a leader and believe in the theory, use it. First, make sure everyone has eaten well. Then make them feel safe and help them belong to a group. Once they feel they belong, they are ready to stand out and excel.
0:29
how to create your own hierarchy of values!
published: 23 Mar 2025
how to create your own hierarchy of values!
how to create your own hierarchy of values!
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- published: 23 Mar 2025
- views: 543
6:29
Why Maslow's Hierarchy Of Needs Matters
Maslow's Hierarchy, (or Pyramid), of Needs is one of the central ideas in modern economics...
published: 10 Apr 2019
Why Maslow's Hierarchy Of Needs Matters
Why Maslow's Hierarchy Of Needs Matters
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- views: 2447430
Maslow's Hierarchy, (or Pyramid), of Needs is one of the central ideas in modern economics and sociology. The work of a once little-known American psychologist, it has grown into an indispensable guide to understanding the modern world. This film explains who Maslow was, what his pyramid is, and why it matters so much.
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CREDITS
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Mike Booth
https://www.youtube.com/somegreybloke
Title animation produced in collaboration with
Vale Productions
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5:47
What Is Visual Hierarchy?
Understanding visual hierarchy is crucial when learning graphic design, layout design, UI ...
published: 20 Jul 2023
What Is Visual Hierarchy?
What Is Visual Hierarchy?
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Understanding visual hierarchy is crucial when learning graphic design, layout design, UI design, motion design, or any other visual communication medium. Learn all about it in this video. ► Download unlimited photos, fonts, and templates with Envato Elements: https://elements.envato.com/?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
In visual communication, we don’t get a lot of time to convey a message. In addition, our vocabulary of design elements is highly subjective and open to viewer interpretation. So visual hierarchy is a great tool to help you communicate clearly. It governs how the elements of a composition are organized to guide the viewer's eye and ensure they receive the message the designer intended.
Read more on visual hierarchy on Envato Tuts+: https://design.tutsplus.com/articles/what-is-visual-hierarcy--cms-107169?utm_campaign=yt_tutsplus_DBHBmeNhYrY&utm_medium=referral&utm_source=youtube.com&utm_content=description
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5:52
Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificia...
published: 03 Jun 2019
Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn
Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn
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🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITK - Professional Certificate Course in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Professional Certificate Program in Generative AI and Machine Learning (India Only) - https://www.simplilearn.com/iitg-generative-ai-machine-learning-program?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFirstFold&utm_source=Youtube
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This video on What is Deep Learningprovides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.
Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip
#DeepLearning #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn
Why Deep Learning?
It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.
➡️ About Artificial Intelligence Engineer
This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.
✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Tools Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…
👉 Learn More At:
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
18:40
But what is a neural network? | Deep learning chapter 1
What are the neurons, why are there layers, and what is the math underlying it?
Help fund ...
published: 05 Oct 2017
But what is a neural network? | Deep learning chapter 1
But what is a neural network? | Deep learning chapter 1
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What are the neurons, why are there layers, and what is the math underlying it?
Help fund future projects: https://www.patreon.com/3blue1brown
Written/interactive form of this series: https://www.3blue1brown.com/topics/neural-networks
Additional funding for this project was provided by Amplify Partners
Typo correction: At 14 minutes 45 seconds, the last index on the bias vector is n, when it's supposed to, in fact, be a k. Thanks for the sharp eyes that caught that!
For those who want to learn more, I highly recommend the book by Michael Nielsen that introduces neural networks and deep learning: https://goo.gl/Zmczdy
There are two neat things about this book. First, it's available for free, so consider joining me in making a donation to Nielsen if you get something out of it. And second, it's centered around walking through some code and data, which you can download yourself, and which covers the same example that I introduce in this video. Yay for active learning!
https://github.com/mnielsen/neural-networks-and-deep-learning
I also highly recommend Chris Olah's blog: http://colah.github.io/
For more videos, Welch Labs also has some great series on machine learning:
https://youtu.be/i8D90DkCLhI
https://youtu.be/bxe2T-V8XRs
For those of you looking to go *even* deeper, check out the text "Deep Learning" by Goodfellow, Bengio, and Courville.
Also, the publication Distill is just utterly beautiful: https://distill.pub/
Lion photo by Kevin Pluck
Звуковая дорожка на русском языке: Влад Бурмистров.
Thanks to these viewers for their contributions to translations
German: @fpgro
Hebrew: Omer Tuchfeld
Hungarian: Máté Kaszap
Italian: @teobucci, Teo Bucci
-----------------
Timeline:
0:00 - Introduction example
1:07 - Series preview
2:42 - What are neurons?
3:35 - Introducing layers
5:31 - Why layers?
8:38 - Edge detection example
11:34 - Counting weights and biases
12:30 - How learning relates
13:26 - Notation and linear algebra
15:17 - Recap
16:27 - Some final words
17:03 - ReLU vs Sigmoid
Correction 14:45 - The final index on the bias vector should be "k"
------------------
Animations largely made using manim, a scrappy open source python library. https://github.com/3b1b/manim
If you want to check it out, I feel compelled to warn you that it's not the most well-documented tool, and has many other quirks you might expect in a library someone wrote with only their own use in mind.
Music by Vincent Rubinetti.
Download the music on Bandcamp:
https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown
Stream the music on Spotify:
https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u
If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lessons accessible to more people.
------------------
3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that).
If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
Various social media stuffs:
Website: https://www.3blue1brown.com
Twitter: https://twitter.com/3Blue1Brown
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7:50
Machine Learning vs Deep Learning
Learn about watsonx → https://ibm.biz/BdvxDm
Get a unique perspective on what the differ...
published: 31 Mar 2022
Machine Learning vs Deep Learning
Machine Learning vs Deep Learning
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Learn about watsonx → https://ibm.biz/BdvxDm
Get a unique perspective on what the difference is between Machine Learning and Deep Learning - explained and illustrated in a delicious analogy of ordering pizza by IBMer and Master Inventor, Martin Keen.
#AI #Software #ITModernization #DeepLearning #MachineLearning
1:25:39
Deep Learning Crash Course for Beginners
Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine L...
published: 30 Jul 2020
Deep Learning Crash Course for Beginners
Deep Learning Crash Course for Beginners
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Learn the fundamental concepts and terminology of Deep Learning, a sub-branch of Machine Learning. This course is designed for absolute beginners with no experience in programming. You will learn the key ideas behind deep learning without any code.
You'll learn about Neural Networks, Machine Learning constructs like Supervised, Unsupervised and Reinforcement Learning, the various types of Neural Network architectures, and more.
✏️ Course developed by Jason Dsouza. Check out his YouTube channel: http://youtube.com/jasmcaus
❤️ Try interactive AI courses we love, right in your browser: https://scrimba.com/freeCodeCamp-AI (Made possible by a grant from our friends at Scrimba)
⭐️ Course Contents ⭐️
⌨️ (0:00) Introduction
⌨️ (1:18) What is Deep Learning
⌨️ (5:25) Introduction to Neural Networks
⌨️ (6:12) How do Neural Networks LEARN?
⌨️ (12:06) Core terminologies used in Deep Learning
⌨️ (12:11) Activation Functions
⌨️ (22:36) Loss Functions
⌨️ (23:42) Optimizers
⌨️ (30:10) Parameters vs Hyperparameters
⌨️ (32:03) Epochs, Batches & Iterations
⌨️ (34:24) Conclusion to Terminologies
⌨️ (35:18) Introduction to Learning
⌨️ (35:34) Supervised Learning
⌨️ (40:21) Unsupervised Learning
⌨️ (43:38) Reinforcement Learning
⌨️ (46:25) Regularization
⌨️ (51:25) Introduction to Neural Network Architectures
⌨️ (51:37) Fully-Connected Feedforward Neural Nets
⌨️ (54:05) Recurrent Neural Nets
⌨️ (1:04:40) Convolutional Neural Nets
⌨️ (1:08:07) Introduction to the 5 Steps to EVERY Deep Learning Model
⌨️ (1:08:23) 1. Gathering Data
⌨️ (1:11:27) 2. Preprocessing the Data
⌨️ (1:19:05) 3. Training your Model
⌨️ (1:19:33) 4. Evaluating your Model
⌨️ (1:19:55) 5. Optimizing your Model's Accuracy
⌨️ (1:25:15) Conclusion to the Course
--
Learn to code for free and get a developer job: https://www.freecodecamp.org
Read hundreds of articles on programming: https://freecodecamp.org/news
1:08:06
Deep Learning Basics: Introduction and Overview
An introductory lecture for MIT course 6.S094 on the basics of deep learning including a f...
published: 11 Jan 2019
Deep Learning Basics: Introduction and Overview
Deep Learning Basics: Introduction and Overview
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An introductory lecture for MIT course 6.S094 on the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.
INFO:
Website: https://deeplearning.mit.edu
GitHub: https://github.com/lexfridman/mit-deep-learning
Slides: http://bit.ly/deep-learning-basics-slides
Playlist: http://bit.ly/deep-learning-playlist
Blog post: https://link.medium.com/TkE476jw2T
OUTLINE:
0:00 - Introduction
0:53 - Deep learning in one slide
4:55 - History of ideas and tools
9:43 - Simple example in TensorFlow
11:36 - TensorFlow in one slide
13:32 - Deep learning is representation learning
16:02 - Why deep learning (and why not)
22:00 - Challenges for supervised learning
38:27 - Key low-level concepts
46:15 - Higher-level methods
1:06:00 - Toward artificial general intelligence
CONNECT:
- If you enjoyed this video, please subscribe to this channel.
- Twitter: https://twitter.com/lexfridman
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7:05
How I’d learn ML in 2024 (if I could start over)
Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/
...
published: 26 Nov 2023
How I’d learn ML in 2024 (if I could start over)
How I’d learn ML in 2024 (if I could start over)
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Become better at machine learning in 5 min/ week 👉🏻 https://borismeinardus.substack.com/
In this video, I share how I would learn Machine Learning in 2024 if I could start over.
For the past 3 years, I have been studying machine learning (and 2 years before that basic computer science), which has now led me to work with an amazing ex-Meta professor, collaborate with Google DeepMind researchers, and have interviews at amazing companies.
Having learned from all of my failures and successes, this video breaks down how I would learn machine learning all over again, focusing on the essentials and learning from the best resources.
Enjoy!
👉🏻 Book a one-on-one call
https://calendly.com/boris-meinardus/consulting
👇🏻 Links to resources 👇🏻
==== Maths ====
https://www.edx.org/learn/probability/harvard-university-introduction-to-probability
https://www.edx.org/learn/linear-algebra/the-university-of-texas-at-austin-linear-algebra-foundations-to-frontiers
https://www.coursera.org/learn/matrix-algebra-engineers?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeNXFjUFXWo0&irgwc=1
==== ML/ DL ====
https://www.coursera.org/specializations/machine-learning-introduction#courses
https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
https://www.coursera.org/specializations/deep-learning?irclickid=x-U2gpTSJxyLTxPwUx0Mo3EoUkDXeu01jUFXWo0&irgwc=1#courses
https://huggingface.co/learn/nlp-course/chapter1/1
⬇️ Follow me on my other socials and feel free to DM questions! ⬇️
⚫⚪ Medium: https://medium.com/@boris.meinardus
🐦 Twitter: https://twitter.com/BorisMeinardus
================== Timestamps ================
00:00 - Intro
00:40 - Python
01:29 - Maths
02:47 - ML Developer Stack
04:00 - Learn Machine Learning
06:06 - How To Really Get Good
=============================================
#ai #learning #machinelearning
58:12
MIT Introduction to Deep Learning (2023) | 6.S191
MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer:...
published: 10 Mar 2023
MIT Introduction to Deep Learning (2023) | 6.S191
MIT Introduction to Deep Learning (2023) | 6.S191
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MIT Introduction to Deep Learning 6.S191: Lecture 1
Foundations of Deep Learning
Lecturer: Alexander Amini
2023 Edition
For all lectures, slides, and lab materials: http://introtodeeplearning.com/
Lecture Outline
0:00 - Introduction
8:14 - Course information
11:33 - Why deep learning?
14:48 - The perceptron
20:06 - Perceptron example
23:14 - From perceptrons to neural networks
29:34 - Applying neural networks
32:29 - Loss functions
35:12 - Training and gradient descent
40:25 - Backpropagation
44:05 - Setting the learning rate
48:09 - Batched gradient descent
51:25 - Regularization: dropout and early stopping
57:16 - Summary
Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
12:23
Neural Networks and Deep Learning: Crash Course AI #3
You can learn more about CuriosityStream at https://curiositystream.com/crashcourse.
Toda...
published: 23 Aug 2019
Neural Networks and Deep Learning: Crash Course AI #3
Neural Networks and Deep Learning: Crash Course AI #3
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- published: 23 Aug 2019
- views: 353350
You can learn more about CuriosityStream at https://curiositystream.com/crashcourse.
Today, we're going to combine the artificial neuron we created last week into an artificial neural network. Artificial neural networks are better than other methods for more complicated tasks like image recognition, and the key to their success is their hidden layers. We'll talk about how the math of these networks work and how using many hidden layers allows us to do deep learning. Neural networks are really powerful at finding patterns in data which is why they've become one of the most dominant machine learning technologies used today.
Crash Course is on Patreon! You can support us directly by signing up at http://www.patreon.com/crashcourse
Thanks to the following patrons for their generous monthly contributions that help keep Crash Course free for everyone forever:
Eric Prestemon, Sam Buck, Mark Brouwer, Timothy J Kwist, Brian Thomas Gossett, Haxiang N/A Liu, Jonathan Zbikowski, Siobhan Sabino, Zach Van Stanley, Bob Doye, Jennifer Killen, Nathan Catchings, Brandon Westmoreland, dorsey, Indika Siriwardena, Kenneth F Penttinen, Trevin Beattie, Erika & Alexa Saur, Justin Zingsheim, Jessica Wode, Tom Trval, Jason Saslow, Nathan Taylor, Khaled El Shalakany, SR Foxley, Sam Ferguson, Yasenia Cruz, Eric Koslow, Caleb Weeks, Tim Curwick, David Noe, Shawn Arnold, William McGraw, Andrei Krishkevich, Rachel Bright, Jirat, Ian Dundore
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Want to find Crash Course elsewhere on the internet?
Facebook - http://www.facebook.com/YouTubeCrashCourse
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Support Crash Course on Patreon: http://patreon.com/crashcourse
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#CrashCourse #ArtificialIntelligence #MachineLearning
0:00
PyTorch for Deep Learning & Machine Learning – Full Course
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a m...
published: 06 Oct 2022
PyTorch for Deep Learning & Machine Learning – Full Course
PyTorch for Deep Learning & Machine Learning – Full Course
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- views: 2307320
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
✏️ Daniel Bourke developed this course. Check out his channel: https://www.youtube.com/channel/UCr8O8l5cCX85Oem1d18EezQ
🔗 Code: https://github.com/mrdbourke/pytorch-deep-learning
🔗 Ask a question: https://github.com/mrdbourke/pytorch-deep-learning/discussions
🔗 Course materials online: https://learnpytorch.io
🔗 Full course on Zero to Mastery (20+ hours more video): https://dbourke.link/ZTMPyTorch
Some sections below have been left out because of the YouTube limit for timestamps.
0:00:00 Introduction
🛠 Chapter 0 – PyTorch Fundamentals
0:01:45 0. Welcome and "what is deep learning?"
0:07:41 1. Why use machine/deep learning?
0:11:15 2. The number one rule of ML
0:16:55 3. Machine learning vs deep learning
0:23:02 4. Anatomy of neural networks
0:32:24 5. Different learning paradigms
0:36:56 6. What can deep learning be used for?
0:43:18 7. What is/why PyTorch?
0:53:33 8. What are tensors?
0:57:52 9. Outline
1:03:56 10. How to (and how not to) approach this course
1:09:05 11. Important resources
1:14:28 12. Getting setup
1:22:08 13. Introduction to tensors
1:35:35 14. Creating tensors
1:54:01 17. Tensor datatypes
2:03:26 18. Tensor attributes (information about tensors)
2:11:50 19. Manipulating tensors
2:17:50 20. Matrix multiplication
2:48:18 23. Finding the min, max, mean & sum
2:57:48 25. Reshaping, viewing and stacking
3:11:31 26. Squeezing, unsqueezing and permuting
3:23:28 27. Selecting data (indexing)
3:33:01 28. PyTorch and NumPy
3:42:10 29. Reproducibility
3:52:58 30. Accessing a GPU
4:04:49 31. Setting up device agnostic code
🗺 Chapter 1 – PyTorch Workflow
4:17:27 33. Introduction to PyTorch Workflow
4:20:14 34. Getting setup
4:27:30 35. Creating a dataset with linear regression
4:37:12 36. Creating training and test sets (the most important concept in ML)
4:53:18 38. Creating our first PyTorch model
5:13:41 40. Discussing important model building classes
5:20:09 41. Checking out the internals of our model
5:30:01 42. Making predictions with our model
5:41:15 43. Training a model with PyTorch (intuition building)
5:49:31 44. Setting up a loss function and optimizer
6:02:24 45. PyTorch training loop intuition
6:40:05 48. Running our training loop epoch by epoch
6:49:31 49. Writing testing loop code
7:15:53 51. Saving/loading a model
7:44:28 54. Putting everything together
🤨 Chapter 2 – Neural Network Classification
8:32:00 60. Introduction to machine learning classification
8:41:42 61. Classification input and outputs
8:50:50 62. Architecture of a classification neural network
9:09:41 64. Turing our data into tensors
9:25:58 66. Coding a neural network for classification data
9:43:55 68. Using torch.nn.Sequential
9:57:13 69. Loss, optimizer and evaluation functions for classification
10:12:05 70. From model logits to prediction probabilities to prediction labels
10:28:13 71. Train and test loops
10:57:55 73. Discussing options to improve a model
11:27:52 76. Creating a straight line dataset
11:46:02 78. Evaluating our model's predictions
11:51:26 79. The missing piece – non-linearity
12:42:32 84. Putting it all together with a multiclass problem
13:24:09 88. Troubleshooting a mutli-class model
😎 Chapter 3 – Computer Vision
14:00:48 92. Introduction to computer vision
14:12:36 93. Computer vision input and outputs
14:22:46 94. What is a convolutional neural network?
14:27:49 95. TorchVision
14:37:10 96. Getting a computer vision dataset
15:01:34 98. Mini-batches
15:08:52 99. Creating DataLoaders
15:52:01 103. Training and testing loops for batched data
16:26:27 105. Running experiments on the GPU
16:30:14 106. Creating a model with non-linear functions
16:42:23 108. Creating a train/test loop
17:13:32 112. Convolutional neural networks (overview)
17:21:57 113. Coding a CNN
17:41:46 114. Breaking down nn.Conv2d/nn.MaxPool2d
18:29:02 118. Training our first CNN
18:44:22 120. Making predictions on random test samples
18:56:01 121. Plotting our best model predictions
19:19:34 123. Evaluating model predictions with a confusion matrix
🗃 Chapter 4 – Custom Datasets
19:44:05 126. Introduction to custom datasets
19:59:54 128. Downloading a custom dataset of pizza, steak and sushi images
20:13:59 129. Becoming one with the data
20:39:11 132. Turning images into tensors
21:16:16 136. Creating image DataLoaders
21:25:20 137. Creating a custom dataset class (overview)
21:42:29 139. Writing a custom dataset class from scratch
22:21:50 142. Turning custom datasets into DataLoaders
22:28:50 143. Data augmentation
22:43:14 144. Building a baseline model
23:11:07 147. Getting a summary of our model with torchinfo
23:17:46 148. Creating training and testing loop functions
23:50:59 151. Plotting model 0 loss curves
24:00:02 152. Overfitting and underfitting
24:32:31 155. Plotting model 1 loss curves
24:35:53 156. Plotting all the loss curves
24:46:50 157. Predicting on custom data
2:35
Machine Learning Explained in 100 Seconds
Machine Learning is the process of teaching a computer how perform a task with out explici...
published: 09 Sep 2021
Machine Learning Explained in 100 Seconds
Machine Learning Explained in 100 Seconds
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- published: 09 Sep 2021
- views: 757602
Machine Learning is the process of teaching a computer how perform a task with out explicitly programming it. The process feeds algorithms with large amounts of data to gradually improve predictive performance.
#ai #python #100SecondsOfCode
🔗 Resources
Machine Learning Tutorials https://fireship.io/tags/machine-learning/
What is ML https://www.ibm.com/cloud/learn/machine-learning
Neural Networks https://towardsdatascience.com/a-beginners-guide-to-convolutional-neural-networks-cnns-14649dbddce8
ML Wiki https://en.wikipedia.org/wiki/Machine_learning
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Topics Covered
- Convolutional Neural Networks
- Machine Learning Basics
- How Data Science Works
- Big Data and Feature Engineering
- Artificial Intelligence History
- Supervised Machine Learning
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