-
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 introducing 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, ...
published: 05 Oct 2017
-
Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=bfmFfD2RIcg&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=bfmFfD2RIcg&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=bfmFfD2RIcg&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: 19 Jun 2019
-
Neural Networks Explained in 5 minutes
Learn more about watsonx: https://ibm.biz/BdvxRs
Neural networks reflect the behavior of the human brain, allowing computer programs to recognize patterns and solve common problems in the fields of AI, machine learning, and deep learning. Master Inventor, Martin Keen, makes some important points about neural networks and does it all in 5 minutes.
#Software #ITModernization #NeuralNetworks #DataFabric #lightboard #IBM
published: 24 May 2022
-
Explained In A Minute: Neural Networks
Artificial Neural Networks explained in a minute.
As you might have already guessed, there are a lot of things that didn't fit into this one-minute explanation. You can read my accompanying blogpost for some more details on things I might have left out: https://arztsamuel.github.io/en/blogs/2018/EiaM-NeuralNetworks.html
If you like these kind of videos and would like to see more technical topics explained in a minute, let me know by pressing the like button.
Don't miss any future videos, by subscribing to my channel.
Follow me on Twitter: https://twitter.com/SamuelArzt
Interested in this series? You can find more information about it on my website: https://arztsamuel.github.io/en/projects/youtube/explained/explained.html
This video was recorded with a potato.
Background Music: Drops ...
published: 02 Sep 2017
-
1. Introduction to Artificial Neural Network | How ANN Works | Soft Computing | Machine Learning
1. Introduction to Artificial Neural Network | How ANN Works | Summation and Activation Function in ANN Soft Computing by Mahesh Huddar
The following concepts are discussed:
______________________________
artificial neural networks introduction
artificial neural networks in Soft Computing,
artificial neural networks in data mining,
artificial neural networks in machine learning,
artificial neural networks in python,
artificial neural networks - ann
How do artificial neural networks work?
Working principle of ANN.
********************************
1. Blog / Website: https://www.vtupulse.com/
2. Like Facebook Page: https://www.facebook.com/VTUPulse
3. Follow us on Instagram: https://www.instagram.com/vtupulse/
4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular u...
published: 08 Oct 2022
-
Artificial neural networks (ANN) - explained super simple
https://www.tilestats.com/
Python code for this example:
A Beginner's Guide to Artificial Neural Networks in Python with Keras and TensorFlow
https://youtu.be/g0wuLPoBqhI
1. What is a neural network?
2. How to train the network with simple example data (1:10)
3. ANN vs Logistic regression (06:42)
4. How to evaluate the network (07:14)
5. How to use the network for prediction (09:23)
6. How to estimate the weights (10:25)
7. Understanding the hidden layers (16:30)
8. ANN vs regression (20:56)
9. How to set up and train an ANN in R (23:08)
published: 03 Mar 2023
-
The Essential Main Ideas of Neural Networks
Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are "black boxes", but that's not true at all. In this video I break each piece down and show how it works, step-by-step, using simple mathematics that is still true to the algorithm. By the end of this video you will have a deep understanding of what Neural Networks do.
English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en e...
published: 31 Aug 2020
-
Neural Networks explained in 60 seconds!
Ever wondered how the famous neural networks work? Let's quickly dive into the basics of Neural Networks, in less than 60 seconds!
▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬
🖥️ Website: https://www.assemblyai.com
🐦 Twitter: https://twitter.com/AssemblyAI
🦾 Discord: https://discord.gg/Cd8MyVJAXd
▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1
🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
#MachineLearning #DeepLearning #neuralnetworks
published: 22 Jul 2022
-
How Convolutional Neural Networks (CNNs) Identify Bird Species: A Visual Guide
🌍 Ever wondered how machines can identify different bird species, like sparrows, parrots, or eagles? Convolutional Neural Networks (CNNs) make it possible! This updated animation demonstrates how CNNs can process and classify images of birds with remarkable accuracy. From raw input data to final predictions, see how AI mimics human vision—layer by layer.
Convolutional Neural Networks are a cornerstone of modern AI, and this animation showcases how they work in a step-by-step, visual manner. The example focuses on recognizing six different bird species, highlighting how these networks break down visual data into patterns and combine them to make predictions.
💡 What This Animation Demonstrates:
1️⃣ Convolution Layers: Detects low-level features like edges and textures in bird images, layi...
published: 06 Dec 2024
-
Understanding Neural Networks and AI
Explore watsonx.ai → https://ibm.biz/explore-watsonx-ai
Curious about the connection between AI, machine learning, and deep learning and how that shapes the relationship between AI and neural networks?
Join Jamil Spain as he unravels the complexities and explores the fundamental concepts of artificial intelligence, and highlights neural networks types and use cases.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM. → https://ibm.biz/BdmEgs
#ai #neuralnetworks #deeplearning
published: 10 Apr 2024
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 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 introducing 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 introducing 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: 18073697
5:45
Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=bfmFfD2RIcg&utm_medium=DescriptionFirstFol...
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=bfmFfD2RIcg&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=bfmFfD2RIcg&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=bfmFfD2RIcg&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=bfmFfD2RIcg&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=bfmFfD2RIcg&utm_medium=DescriptionFirstFold&utm_source=Youtube
This video on What is a Neural Networkdelivers an entertaining and exciting introduction to the concepts of Neural Network. We will learn the different layers present in a Neural Network and understand how these layers process data. We will get an idea of the different parameters used in a Neural Network such as weights, bias, and activation functions. We will also understand how to train a Neural Network using forward propagation and then adjust to the errors in the network using the backpropagation method. This video also covers a few popular Neural Network applications. Now, let us jump straight into learning what is a Neural Network.
0:00 What is a Neural Network?
0:33 How Neural Networks work?
03:43 Neural Network examples
04:21 Quiz
04:52 Neural Network applications
Don't forget to take the quiz at 04:21
Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip
#NeuralNetwork #WhatIsANeuralNetwork #WhatAreNeuralNetworks #DeepLearningAndNeuralNetworks #DeepLearning #ArtificalNeuralNetwork #NeuralNetworkExplained #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn
➡️ About Caltech Post Graduate Program In AI And Machine Learning
Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts
✅ Skills Covered
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision
👉 Learn More At: 🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=bfmFfD2RIcg&utm_medium=Description&utm_source=Youtube
https://wn.com/Neural_Network_In_5_Minutes_|_What_Is_A_Neural_Network_|_How_Neural_Networks_Work_|_Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=bfmFfD2RIcg&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=bfmFfD2RIcg&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=bfmFfD2RIcg&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=bfmFfD2RIcg&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Caltech - AI & Machine Learning Bootcamp (US Only) - https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=bfmFfD2RIcg&utm_medium=DescriptionFirstFold&utm_source=Youtube
This video on What is a Neural Networkdelivers an entertaining and exciting introduction to the concepts of Neural Network. We will learn the different layers present in a Neural Network and understand how these layers process data. We will get an idea of the different parameters used in a Neural Network such as weights, bias, and activation functions. We will also understand how to train a Neural Network using forward propagation and then adjust to the errors in the network using the backpropagation method. This video also covers a few popular Neural Network applications. Now, let us jump straight into learning what is a Neural Network.
0:00 What is a Neural Network?
0:33 How Neural Networks work?
03:43 Neural Network examples
04:21 Quiz
04:52 Neural Network applications
Don't forget to take the quiz at 04:21
Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip
#NeuralNetwork #WhatIsANeuralNetwork #WhatAreNeuralNetworks #DeepLearningAndNeuralNetworks #DeepLearning #ArtificalNeuralNetwork #NeuralNetworkExplained #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn
➡️ About Caltech Post Graduate Program In AI And Machine Learning
Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.
✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts
✅ Skills Covered
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision
👉 Learn More At: 🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=bfmFfD2RIcg&utm_medium=Description&utm_source=Youtube
- published: 19 Jun 2019
- views: 1498021
4:32
Neural Networks Explained in 5 minutes
Learn more about watsonx: https://ibm.biz/BdvxRs
Neural networks reflect the behavior of the human brain, allowing computer programs to recognize patterns and ...
Learn more about watsonx: https://ibm.biz/BdvxRs
Neural networks reflect the behavior of the human brain, allowing computer programs to recognize patterns and solve common problems in the fields of AI, machine learning, and deep learning. Master Inventor, Martin Keen, makes some important points about neural networks and does it all in 5 minutes.
#Software #ITModernization #NeuralNetworks #DataFabric #lightboard #IBM
https://wn.com/Neural_Networks_Explained_In_5_Minutes
Learn more about watsonx: https://ibm.biz/BdvxRs
Neural networks reflect the behavior of the human brain, allowing computer programs to recognize patterns and solve common problems in the fields of AI, machine learning, and deep learning. Master Inventor, Martin Keen, makes some important points about neural networks and does it all in 5 minutes.
#Software #ITModernization #NeuralNetworks #DataFabric #lightboard #IBM
- published: 24 May 2022
- views: 291820
1:04
Explained In A Minute: Neural Networks
Artificial Neural Networks explained in a minute.
As you might have already guessed, there are a lot of things that didn't fit into this one-minute explanation...
Artificial Neural Networks explained in a minute.
As you might have already guessed, there are a lot of things that didn't fit into this one-minute explanation. You can read my accompanying blogpost for some more details on things I might have left out: https://arztsamuel.github.io/en/blogs/2018/EiaM-NeuralNetworks.html
If you like these kind of videos and would like to see more technical topics explained in a minute, let me know by pressing the like button.
Don't miss any future videos, by subscribing to my channel.
Follow me on Twitter: https://twitter.com/SamuelArzt
Interested in this series? You can find more information about it on my website: https://arztsamuel.github.io/en/projects/youtube/explained/explained.html
This video was recorded with a potato.
Background Music: Drops of H2O ( The Filtered Water Treatment ) by J.Lang (c) copyright 2012 Licensed under a Creative Commons Attribution (3.0) license. http://dig.ccmixter.org/files/djlang59/37792 Ft: Airtone
#NeuralNetworks #MachineLearning #Tutorial
https://wn.com/Explained_In_A_Minute_Neural_Networks
Artificial Neural Networks explained in a minute.
As you might have already guessed, there are a lot of things that didn't fit into this one-minute explanation. You can read my accompanying blogpost for some more details on things I might have left out: https://arztsamuel.github.io/en/blogs/2018/EiaM-NeuralNetworks.html
If you like these kind of videos and would like to see more technical topics explained in a minute, let me know by pressing the like button.
Don't miss any future videos, by subscribing to my channel.
Follow me on Twitter: https://twitter.com/SamuelArzt
Interested in this series? You can find more information about it on my website: https://arztsamuel.github.io/en/projects/youtube/explained/explained.html
This video was recorded with a potato.
Background Music: Drops of H2O ( The Filtered Water Treatment ) by J.Lang (c) copyright 2012 Licensed under a Creative Commons Attribution (3.0) license. http://dig.ccmixter.org/files/djlang59/37792 Ft: Airtone
#NeuralNetworks #MachineLearning #Tutorial
- published: 02 Sep 2017
- views: 488556
8:09
1. Introduction to Artificial Neural Network | How ANN Works | Soft Computing | Machine Learning
1. Introduction to Artificial Neural Network | How ANN Works | Summation and Activation Function in ANN Soft Computing by Mahesh Huddar
The following concepts ...
1. Introduction to Artificial Neural Network | How ANN Works | Summation and Activation Function in ANN Soft Computing by Mahesh Huddar
The following concepts are discussed:
______________________________
artificial neural networks introduction
artificial neural networks in Soft Computing,
artificial neural networks in data mining,
artificial neural networks in machine learning,
artificial neural networks in python,
artificial neural networks - ann
How do artificial neural networks work?
Working principle of ANN.
********************************
1. Blog / Website: https://www.vtupulse.com/
2. Like Facebook Page: https://www.facebook.com/VTUPulse
3. Follow us on Instagram: https://www.instagram.com/vtupulse/
4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates
https://wn.com/1._Introduction_To_Artificial_Neural_Network_|_How_Ann_Works_|_Soft_Computing_|_Machine_Learning
1. Introduction to Artificial Neural Network | How ANN Works | Summation and Activation Function in ANN Soft Computing by Mahesh Huddar
The following concepts are discussed:
______________________________
artificial neural networks introduction
artificial neural networks in Soft Computing,
artificial neural networks in data mining,
artificial neural networks in machine learning,
artificial neural networks in python,
artificial neural networks - ann
How do artificial neural networks work?
Working principle of ANN.
********************************
1. Blog / Website: https://www.vtupulse.com/
2. Like Facebook Page: https://www.facebook.com/VTUPulse
3. Follow us on Instagram: https://www.instagram.com/vtupulse/
4. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates
- published: 08 Oct 2022
- views: 215409
26:14
Artificial neural networks (ANN) - explained super simple
https://www.tilestats.com/
Python code for this example:
A Beginner's Guide to Artificial Neural Networks in Python with Keras and TensorFlow
https://youtu.be/...
https://www.tilestats.com/
Python code for this example:
A Beginner's Guide to Artificial Neural Networks in Python with Keras and TensorFlow
https://youtu.be/g0wuLPoBqhI
1. What is a neural network?
2. How to train the network with simple example data (1:10)
3. ANN vs Logistic regression (06:42)
4. How to evaluate the network (07:14)
5. How to use the network for prediction (09:23)
6. How to estimate the weights (10:25)
7. Understanding the hidden layers (16:30)
8. ANN vs regression (20:56)
9. How to set up and train an ANN in R (23:08)
https://wn.com/Artificial_Neural_Networks_(Ann)_Explained_Super_Simple
https://www.tilestats.com/
Python code for this example:
A Beginner's Guide to Artificial Neural Networks in Python with Keras and TensorFlow
https://youtu.be/g0wuLPoBqhI
1. What is a neural network?
2. How to train the network with simple example data (1:10)
3. ANN vs Logistic regression (06:42)
4. How to evaluate the network (07:14)
5. How to use the network for prediction (09:23)
6. How to estimate the weights (10:25)
7. Understanding the hidden layers (16:30)
8. ANN vs regression (20:56)
9. How to set up and train an ANN in R (23:08)
- published: 03 Mar 2023
- views: 42624
18:54
The Essential Main Ideas of Neural Networks
Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are ...
Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are "black boxes", but that's not true at all. In this video I break each piece down and show how it works, step-by-step, using simple mathematics that is still true to the algorithm. By the end of this video you will have a deep understanding of what Neural Networks do.
English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración.
Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
2:01 A simple dataset and problem
3:37 Description of Neural Networks
7:54 Creating a squiggle from curved lines
15:25 Using the Neural Network to make a prediction
16:38 Some more Neural Network terminology
#StatQuest #NeuralNetworks #DubbedWithAloud
https://wn.com/The_Essential_Main_Ideas_Of_Neural_Networks
Neural Networks are one of the most popular Machine Learning algorithms, but they are also one of the most poorly understood. Everyone says Neural Networks are "black boxes", but that's not true at all. In this video I break each piece down and show how it works, step-by-step, using simple mathematics that is still true to the algorithm. By the end of this video you will have a deep understanding of what Neural Networks do.
English
This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility. You can change the audio track language in the Settings menu.
Spanish
Este video ha sido doblado al español con voz artificial con https://aloud.area120.google.com para aumentar la accesibilidad. Puede cambiar el idioma de la pista de audio en el menú Configuración.
Portuguese
Este vídeo foi dublado para o português usando uma voz artificial via https://aloud.area120.google.com para melhorar sua acessibilidade. Você pode alterar o idioma do áudio no menu Configurações.
For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroad.com/l/wvtmc
Paperback - https://www.amazon.com/dp/B09ZCKR4H6
Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC
Patreon: https://www.patreon.com/statquest
...or...
YouTube Membership: https://www.youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join
...a cool StatQuest t-shirt or sweatshirt:
https://shop.spreadshirt.com/statquest-with-josh-starmer/
...buying one or two of my songs (or go large and get a whole album!)
https://joshuastarmer.bandcamp.com/
...or just donating to StatQuest!
https://www.paypal.me/statquest
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
https://twitter.com/joshuastarmer
0:00 Awesome song and introduction
2:01 A simple dataset and problem
3:37 Description of Neural Networks
7:54 Creating a squiggle from curved lines
15:25 Using the Neural Network to make a prediction
16:38 Some more Neural Network terminology
#StatQuest #NeuralNetworks #DubbedWithAloud
- published: 31 Aug 2020
- views: 1005082
1:00
Neural Networks explained in 60 seconds!
Ever wondered how the famous neural networks work? Let's quickly dive into the basics of Neural Networks, in less than 60 seconds!
▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬...
Ever wondered how the famous neural networks work? Let's quickly dive into the basics of Neural Networks, in less than 60 seconds!
▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬
🖥️ Website: https://www.assemblyai.com
🐦 Twitter: https://twitter.com/AssemblyAI
🦾 Discord: https://discord.gg/Cd8MyVJAXd
▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1
🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
#MachineLearning #DeepLearning #neuralnetworks
https://wn.com/Neural_Networks_Explained_In_60_Seconds
Ever wondered how the famous neural networks work? Let's quickly dive into the basics of Neural Networks, in less than 60 seconds!
▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬
🖥️ Website: https://www.assemblyai.com
🐦 Twitter: https://twitter.com/AssemblyAI
🦾 Discord: https://discord.gg/Cd8MyVJAXd
▶️ Subscribe: https://www.youtube.com/c/AssemblyAI?sub_confirmation=1
🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers
▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬
#MachineLearning #DeepLearning #neuralnetworks
- published: 22 Jul 2022
- views: 396810
1:26
How Convolutional Neural Networks (CNNs) Identify Bird Species: A Visual Guide
🌍 Ever wondered how machines can identify different bird species, like sparrows, parrots, or eagles? Convolutional Neural Networks (CNNs) make it possible! This...
🌍 Ever wondered how machines can identify different bird species, like sparrows, parrots, or eagles? Convolutional Neural Networks (CNNs) make it possible! This updated animation demonstrates how CNNs can process and classify images of birds with remarkable accuracy. From raw input data to final predictions, see how AI mimics human vision—layer by layer.
Convolutional Neural Networks are a cornerstone of modern AI, and this animation showcases how they work in a step-by-step, visual manner. The example focuses on recognizing six different bird species, highlighting how these networks break down visual data into patterns and combine them to make predictions.
💡 What This Animation Demonstrates:
1️⃣ Convolution Layers: Detects low-level features like edges and textures in bird images, laying the foundation for deeper understanding.
2️⃣ Batch Normalization Layers: Stabilizes the learning process by normalizing data between layers.
3️⃣ Pooling Layers: Reduces data complexity while retaining critical features.
4️⃣ Fully Connected Layers: Integrates all extracted patterns to identify unique bird traits.
5️⃣ Output Layer: The final step, where the network confidently predicts the bird species based on the processed data.
🎯 Real-World Applications of CNNs in Bird Classification:
▫️ Wildlife Conservation: Monitoring bird populations with automated species detection.
▫️ Ecotourism: Enhancing bird-watching experiences using augmented reality apps.
▫️ Research: Analyzing migratory patterns through image recognition.
▫️ Education: Enabling bird species identification for students and enthusiasts.
🔥 Fun Fact: CNNs are inspired by the way human and animal brains process visual information. By mimicking biological vision systems, they can "see" and "understand" the world around them.
✨ Why Watch This Video? This animation simplifies the inner workings of CNNs, using a real-world example that is both engaging and educational. Whether you're an AI enthusiast, a bird lover, or a student eager to explore machine learning, this video will captivate and inspire you.
📌 What Makes This Animation Special:
▫️ Watch how the network identifies unique bird traits across layers.
▫️ Understand the entire CNN workflow in an intuitive, visual way.
▫️ See AI bring the natural world to life by classifying bird species.
✨ Pro Tips:
▫️ Watch in HD to appreciate every detail.
▫️ Pause to explore how features evolve across layers.
▫️ Subscribe for more AI and machine learning visualizations.
👉 LinkedIn: https://www.linkedin.com/in/ashwinspencer/
📜 Copyright Notice © 2024 Ashwin Spencer. All rights reserved. This content is the intellectual property of Ashwin Spencer and may not be reproduced, redistributed, or used without permission. Unauthorized copying or re-uploading of this video is strictly prohibited.
#aiexplained #machinelearning #deeplearning #neuralnetwork #artificialintelligence #aiexplained #datascience #aivisualization #ai #data #machinelearningalgorithms
https://wn.com/How_Convolutional_Neural_Networks_(Cnns)_Identify_Bird_Species_A_Visual_Guide
🌍 Ever wondered how machines can identify different bird species, like sparrows, parrots, or eagles? Convolutional Neural Networks (CNNs) make it possible! This updated animation demonstrates how CNNs can process and classify images of birds with remarkable accuracy. From raw input data to final predictions, see how AI mimics human vision—layer by layer.
Convolutional Neural Networks are a cornerstone of modern AI, and this animation showcases how they work in a step-by-step, visual manner. The example focuses on recognizing six different bird species, highlighting how these networks break down visual data into patterns and combine them to make predictions.
💡 What This Animation Demonstrates:
1️⃣ Convolution Layers: Detects low-level features like edges and textures in bird images, laying the foundation for deeper understanding.
2️⃣ Batch Normalization Layers: Stabilizes the learning process by normalizing data between layers.
3️⃣ Pooling Layers: Reduces data complexity while retaining critical features.
4️⃣ Fully Connected Layers: Integrates all extracted patterns to identify unique bird traits.
5️⃣ Output Layer: The final step, where the network confidently predicts the bird species based on the processed data.
🎯 Real-World Applications of CNNs in Bird Classification:
▫️ Wildlife Conservation: Monitoring bird populations with automated species detection.
▫️ Ecotourism: Enhancing bird-watching experiences using augmented reality apps.
▫️ Research: Analyzing migratory patterns through image recognition.
▫️ Education: Enabling bird species identification for students and enthusiasts.
🔥 Fun Fact: CNNs are inspired by the way human and animal brains process visual information. By mimicking biological vision systems, they can "see" and "understand" the world around them.
✨ Why Watch This Video? This animation simplifies the inner workings of CNNs, using a real-world example that is both engaging and educational. Whether you're an AI enthusiast, a bird lover, or a student eager to explore machine learning, this video will captivate and inspire you.
📌 What Makes This Animation Special:
▫️ Watch how the network identifies unique bird traits across layers.
▫️ Understand the entire CNN workflow in an intuitive, visual way.
▫️ See AI bring the natural world to life by classifying bird species.
✨ Pro Tips:
▫️ Watch in HD to appreciate every detail.
▫️ Pause to explore how features evolve across layers.
▫️ Subscribe for more AI and machine learning visualizations.
👉 LinkedIn: https://www.linkedin.com/in/ashwinspencer/
📜 Copyright Notice © 2024 Ashwin Spencer. All rights reserved. This content is the intellectual property of Ashwin Spencer and may not be reproduced, redistributed, or used without permission. Unauthorized copying or re-uploading of this video is strictly prohibited.
#aiexplained #machinelearning #deeplearning #neuralnetwork #artificialintelligence #aiexplained #datascience #aivisualization #ai #data #machinelearningalgorithms
- published: 06 Dec 2024
- views: 593
9:21
Understanding Neural Networks and AI
Explore watsonx.ai → https://ibm.biz/explore-watsonx-ai
Curious about the connection between AI, machine learning, and deep learning and how that shapes the re...
Explore watsonx.ai → https://ibm.biz/explore-watsonx-ai
Curious about the connection between AI, machine learning, and deep learning and how that shapes the relationship between AI and neural networks?
Join Jamil Spain as he unravels the complexities and explores the fundamental concepts of artificial intelligence, and highlights neural networks types and use cases.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM. → https://ibm.biz/BdmEgs
#ai #neuralnetworks #deeplearning
https://wn.com/Understanding_Neural_Networks_And_Ai
Explore watsonx.ai → https://ibm.biz/explore-watsonx-ai
Curious about the connection between AI, machine learning, and deep learning and how that shapes the relationship between AI and neural networks?
Join Jamil Spain as he unravels the complexities and explores the fundamental concepts of artificial intelligence, and highlights neural networks types and use cases.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM. → https://ibm.biz/BdmEgs
#ai #neuralnetworks #deeplearning
- published: 10 Apr 2024
- views: 21215