[B! machine learning] skozawaã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

skozawa id:skozawa

machine learningã«é–¢ã™ã‚‹skozawaã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (39)

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è«–æ–‡ã‹ã‚‰ãƒã‚¹ã‚¿ãƒ¼ã‚’è‡ªå‹•ç”Ÿæˆ â€“ Learning to Generate Posters of Scientific Papers
å¦ä¼šç”¨ã®ãƒã‚¹ã‚¿ãƒ¼ã‚’ä½œã‚‹ã®ãŒé¢å€’ãã•ã„ã¨ã„ã†ç§‘å¦è€…å…±é€šã®æ‚©ã¿ã‹ã‚‰ç”Ÿã¾ã‚ŒãŸã€ã‚ã‚‹æ„å‘³ä¸çœŸé¢ç›®ï¼ˆï¼Ÿï¼‰ãªè©¦ã¿ã€‚ è«–æ–‡ã®ãƒ†ã‚ã‚¹ãƒˆã‹ã‚‰ã‚³ãƒ³ãƒ†ãƒ³ãƒ„ã‚’æŠ½å‡ºã—ãŸå¾Œã€å„ãƒ‘ãƒãƒ«è¦ç´ ï¼ˆAbstruct, Conclusionãªã©ï¼‰ã®å¤§ãã•ã‚„ã‚¢ã‚¹ãƒšã‚¯ãƒˆãªã©ã‚’ã€è¦ç´ ã®æ–‡å—æ•°ãªã©ã‚’å…¥åŠ›ã¨ã—ã¦å¦ç¿’æ¸ˆã¿ã®ãƒ™ã‚¤ã‚¸ã‚¢ãƒ³ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã«æŽ¨è«–ã•ã›ã¦ã€èªã¿ã‚„ã™ã„ãƒ‘ãƒãƒ«ãƒ¬ã‚¤ã‚¢ã‚¦ãƒˆã‚’è‡ªå‹•ç”Ÿæˆã™ã‚‹ã“ã¨ãŒã§ãã‚‹ã‚‰ã—ã„ã§ã™ã€‚ ã‚³ãƒ³ãƒ†ãƒ³ãƒ„æŠ½å‡ºå¾Œã®å…¨ä½“ã®å‡¦ç†ã‚’ã€ ãƒ»å¤§é›‘æŠŠãªãƒ‘ãƒãƒ«è¦ç´ ã®æŽ¨å®š ãƒ»ãƒ‘ãƒãƒ«ãƒ¬ã‚¤ã‚¢ã‚¦ãƒˆã®ç”Ÿæˆ ãƒ»å„ãƒ‘ãƒãƒ«ã®è£…é£¾ ã®3ã¤ã«åˆ†ã‘ã¦ã€ãã‚Œãžã‚Œã§é•ã†ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’ä½¿ã£ã¦å¦ç¿’ã•ã›ã¦ã„ã‚‹ã®ãŒè‚ã¿ãŸã„ã§ã™ã€‚ ä¸‹ç”»åƒã®çœŸã‚“ä¸ã®ãƒã‚¹ã‚¿ãƒ¼ãŒã€ã“ã®ã‚·ã‚¹ãƒ†ãƒ ã§ç”Ÿæˆã—ãŸãƒã‚¹ã‚¿ãƒ¼ã¿ãŸã„ã€‚ ä¸‹ã®2ã¤å‹•ç”»ã«ã‚ã‚‹ã€æ¼«ç”»ã®ãƒ¬ã‚¤ã‚¢ã‚¦ãƒˆã®è‡ªå‹•ç”Ÿæˆã®ç ”ç©¶ãŒå…ˆè¡Œç ”ç©¶ã‚‰ã—ãã€ã“ã¡ã‚‰ã‚‚é¢ç™½ã„ã§ã™ï¼ Researchers often summarize their work
skozawa 2017/03/27
machine learning
ãƒªãƒ³ã‚¯
Our Image Classification Experiment with Deep Learning | Mercari Engineering
Introduction Hi, my name is Takuma. I am a software and machine learning engineer at Mercari. Artificial Intelligence (AI) is a buzzword nowadays. We also often see terms, such as â€˜Deep Learningâ€˜ and â€˜Deep Neural Networksâ€˜ that are subsets of AI and machine learning. I would like to share our experiment on image classification using deep learning. Neural Networks Winter Deep learning is a variatio
skozawa 2017/01/19
machine learning
ãƒªãƒ³ã‚¯
Datasets for Machine Learning
http://kdd.ics.uci.edu/databases/20newsgroups/20newsgroups.html The text from 20000 messages taken from 20 Usenet newsgroups for text analysis, classification, etc.
skozawa 2017/01/07
machine learning

dataset
ãƒªãƒ³ã‚¯
Goã«ã‚ˆã‚‹å‹¾é…é™ä¸‹æ³• - ç†è«–ã¨å®Ÿè·µ - / gradient-descent-in-golang
ãƒ—ãƒã‚°ãƒ©ãƒžã®ãŸã‚ã®æ•°å¦å‹‰å¼·ä¼š@ç¦å²¡ #5 http://maths4pg-fuk.connpass.com/event/34164/
skozawa 2016/08/08
golang

machine learning
ãƒªãƒ³ã‚¯
æ ªå¼ä¼šç¤¾ALBERTï¼ˆãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‰ã‚¨ãƒ³ã‚¸ãƒ³ï¼‰
ãƒ‡ãƒ¼ã‚¿åˆ†æžã‹ã‚‰å°Žãå‡ºã•ã‚ŒãŸã‚¤ãƒ³ã‚µã‚¤ãƒˆç„¡ã—ã«AIï¼ˆäººå·¥çŸ¥èƒ½ï¼‰ã®æ´»ç”¨ã¯å§‹ã¾ã‚Šã¾ã›ã‚“ã€‚ç§ãŸã¡ã¯ã€å„æ¥ç•ŒçŸ¥è˜ã¨ãƒ‡ãƒ¼ã‚¿ãƒ»ã‚¢ãƒŠãƒªãƒ†ã‚£ã‚¯ã‚¹æŠ€è¡“ã‚’é§†ä½¿ã—ãƒ‡ãƒ¼ã‚¿ãƒ‰ãƒªãƒ–ãƒ³çµŒå–¶ã‚’å¼·åŠ›ã«æ”¯æ´ã—ã¾ã™ã€‚ ãƒ‡ãƒ¼ã‚¿ã€ã‚¢ãƒŠãƒªãƒ†ã‚£ã‚¯ã‚¹ã€AIã¯ä¼æ¥ã«ã¨ã£ã¦ç«¶åˆä»–ç¤¾ã¨ã®å·®åˆ¥åŒ–ã‚’å›³ã‚‹ã‹ã¤ã¦ãªã„ã»ã©å¤§ããªè¦å› ã«ãªã£ã¦ã„ã¾ã™ã€‚ä»Šæ—¥ã®çµŒå–¶å¹¹éƒ¨ãŒåŠ¹çŽ‡ã‚’å‘ä¸Šã—ãªãŒã‚‰æ–°ãŸãªåŽç›Šæºã‚’é–‹æ‹“ã—ã€æ–°ã—ã„ãƒ“ã‚¸ãƒã‚¹ãƒ¢ãƒ‡ãƒ«ã‚’ã‚¿ã‚¤ãƒ ãƒªãƒ¼ã«æ§‹ç¯‰ã™ã‚‹æ–¹æ³•ã‚’æ¨¡ç´¢ã™ã‚‹ä¸ã€ä¾¡å€¤ã‚’ç”Ÿã¿å‡ºã—æˆé•·ã‚’ç¶šã‘ã‚‹ä¼æ¥ã«ã¯ã€Œãƒ‡ãƒ¼ã‚¿æ´»ç”¨ã€ã¨ã„ã†å…±é€šé …ãŒã‚ã‚Šã¾ã™ã€‚ç§ãŸã¡ã¯ã€ç„¡æ•°ã®ãƒ‡ãƒ¼ã‚¿ã‹ã‚‰ä¼æ¥ã«ã¨ã£ã¦æœ¬å½“ã«å¿…è¦ãªãƒ‡ãƒ¼ã‚¿ã‚’æ´»ç”¨ã™ã‚‹ãŸã‚ã®æ–¹æ³•ã‚’çŸ¥ã£ã¦ã„ã¾ã™ã€‚ å°†æ¥ã‚’è¦‹æ®ãˆãŸã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ä½“åˆ¶ã‚’å‚™ãˆã¦ã„ã‚‹ä¼æ¥ã®åŠæ•°ä»¥ä¸Šï¼ˆ52ï¼…ï¼‰ã¯ã€ã™ã§ã«ãƒ‡ãƒ¼ã‚¿ã¨ã‚¢ãƒŠãƒªãƒ†ã‚£ã‚¯ã‚¹ã‚’å¤§è¦æ¨¡ã«æ´»ç”¨ã—ã¦ã„ã¾ã™ã€‚ãƒ‡ãƒ¼ã‚¿ã¨AIã«é–¢ã™ã‚‹å–ã‚Šçµ„ã¿ã‚’ãƒ“ã‚¸ãƒã‚¹æˆ¦ç•¥ã«æ²¿ã£ã¦å®Ÿæ–½ã™ã‚‹ã“ã¨ã§æŠ•è³‡åˆ©ç›ŠçŽ‡ã‚’è¿…é€Ÿã«æœ€å¤§åŒ–ã—ã€æœ€çµ‚çš„ã«ã¯AIã‚’ãƒ“
skozawa 2016/06/17
machine learning
ãƒªãƒ³ã‚¯
RCOã‚¢ãƒ‰ãƒ†ã‚¯éƒ¨è«–æ–‡è¼ªèªä¼šï¼šã€ŒStochastic Gradient Boostingã€ã‚’ç´¹ä»‹ã—ã¾ã—ãŸ | RCO Ad-Tech Lab Blog
RCOã‚¢ãƒ‰ãƒ†ã‚¯éƒ¨è«–æ–‡è¼ªèªä¼šï¼šã€ŒStochastic Gradient Boostingã€ã‚’ç´¹ä»‹ã—ã¾ã—ãŸ 2016/01/28stakaya ã©ã†ã‚‚ã€æ©Ÿæ¢°å¦ç¿’ãƒ»èŒ¶å¸¯ã®é«˜æŸ³ã§ã™ã€‚ ï¼ˆå‰ã®è¨˜äº‹ã«ã‚¿ã‚¤ãƒãŒè¦‹ã¤ã‹ã£ãŸãŸã‚èŒ¶å¸¯ã«ãªã‚Šã¾ã—ãŸï¼‰ Kaggleãªã©ã®æ©Ÿæ¢°å¦ç¿’ã‚³ãƒ³ãƒšã§ã»ã¼ç„¡åŒçŠ¶æ…‹ã®æ©Ÿæ¢°å¦ç¿’æ‰‹æ³•ã€ŒStochastic Gradient Boostingã€ã‚’ã¡ã‚ƒã‚“ã¨çŸ¥ã£ã¦ãŠã“ã†ã¨ã€RCOå†…ã®è«–æ–‡è¼ªèªä¼šã§Friedmanã®åŽŸè‘—ã‚’ç´¹ä»‹ã—ã¾ã—ãŸã€‚ãã®éš›ã®ã‚¹ãƒ©ã‚¤ãƒ‰ã‚’å…¬é–‹ã—ã¾ã™ã€‚ ç§ã®ç†è§£ã—ã¦ã„ã‚‹å°è±¡ã§ã™ã¨ã€ã‚¹ãƒ©ã‚¤ãƒ‰å†…ã§ã‚‚è¨€åŠã—ã¦ã„ã¾ã™ãŒã€ æœ€é©åŒ–å•é¡Œã‚’2æ®µéšŽã«åˆ†ã‘ã¦è§£ã ç¬¬ä¸€æ®µéšŽï¼šæå¤±é–¢æ•°ã®å‹¾é…æ–¹å‘ã¨å¹³è¡Œã«ãªã‚‹ã‚ˆã†ãªå¼±å¦ç¿’æ©Ÿï¼ˆæ±ºå®šæœ¨ï¼‰ã‚’æœ€é©åŒ–ã§æ±ºå®š ç¬¬äºŒæ®µéšŽï¼šç¬¬ä¸€æ®µéšŽã§ä½œæˆã—ãŸå‹¾é…æ–¹å‘ã‚’å‘ã„ã¦ã„ã‚‹å¼±å¦ç¿’æ©Ÿã‚’â€ã©ã®ç¨‹åº¦ã®å‰²åˆã§çµ„ã¿è¾¼ã‚€ã‹â€ã‚’æœ€é©åŒ–è¨ˆç®— ãƒ‡ãƒ¼ã‚¿ã‚’ãƒ©ãƒ³ãƒ€ãƒ ã‚µãƒ³ãƒ—ãƒªãƒ³ã‚°ã—ã¦å¦ç¿’ã•ã›ã‚‹ã“ã¨ã«ã‚ˆã‚Šå¼±å¦
skozawa 2016/01/29
machine learning
ãƒªãƒ³ã‚¯
8 Best machine learning cheat sheets to get you started | DevZum
Machine learning is a sub-field of computer scienceÂ that has evolved from the study of pattern recognition and computational learning theory in artificial intelligence. It helps inÂ exploring the construction and study of algorithms.Â It is not something that is too hard to learn and with a little help from machine learning cheat sheets, one can get started very quickly on a project. Infact, machine
skozawa 2016/01/11
machine learning
ãƒªãƒ³ã‚¯
Brad Neuberg: Ten Deep Learning Trends at NIPS 2015
I attended the Neural Information Processing Systems (NIPS) 2015 conference this week in Montreal. It was an incredible experience, like drinking from a firehose of information. Special thanks to my employer Dropbox for sending me to the show (we're hiring!) Here's some of the trends I noticed this week; note that they are biased towards deep and reinforcement learning as those are the tracks I at
skozawa 2015/12/20
NIPS

machine learning
ãƒªãƒ³ã‚¯
Interesting things at NIPS 2015 â€“ Machine Learning (Theory)
NIPS is getting big. If you think of each day as a conference crammed into a day, you get a good flavor of things. Here are some of the interesting things I saw. Grammar as a foreign language. Essentially, attention model + LSTM + a standard dataset = good parser. A New View of Predictive State Methods for Dynamical System Learning. Predicting future from past and future+1 from past allows you to
skozawa 2015/12/20
NIPS

machine learning
ãƒªãƒ³ã‚¯
Microsoft Azure App Service - Welcome
Have your code ready? Use deployment center to get code published from your client or setup continuous deployment. Deployment Center Don't have your code yet? Follow our quickstart guide and you'll have a full app ready in 5 minutes or less. Quickstart
skozawa 2015/11/18
machine learning

Microsoft
ãƒªãƒ³ã‚¯
Kaggle â€“ ç¥žã€…ã«è¿‘ã¥ããŸã‚ã« | threecourse's memo
PyDataTokyoã«è§¦ç™ºã•ã‚ŒãŸã®ã§ã€Kaggleã§ä¸Šä½ã‚’å–ã‚‹ãŸã‚ã®æˆ¦ç•¥ã€ãã—ã¦ç¥žã€…ã«è¿‘ã¥ããŸã‚ã®å¦ç¿’æˆ¦ç•¥ã‚’è€ƒãˆã¦ã¿ã¾ã—ãŸã€‚ kaggle master ï¼ˆè‡ªæ…¢ï¼‰ã§ã¯ã‚ã‚Šã¾ã™ãŒã€kaggleæ´ã¯æµ…ã„ã®ã§ã€ã„ã‚ã‚“ãªçªã£è¾¼ã¿ã©ã“ã‚ãŒã‚ã‚‹ã¨æ€ã„ã¾ã™ã€‚ 1. åˆå‚åŠ ï½ž top25% ã¾ãšã¯titanicã®tutorialã‚’å§‹ã‚ã¦ã¿ã‚‹ çµ‚ã‚ã£ãŸã‚‰ã€ã¡ã‚ƒã‚“ã¨ãƒã‚¤ãƒ³ãƒˆã®ã‚‚ã‚‰ãˆã‚‹æœ¬ç•ªã‚³ãƒ³ãƒšã«å‚åŠ ã™ã‚‹ ãŠéŠã³ã‚³ãƒ³ãƒšã ã¨ãªã‹ãªã‹æ°—åˆã„ãŒå…¥ã‚‰ãªã„ã®ã§ï¼ˆäººã«ã‚ˆã‚Šã¾ã™ï¼‰ ã„ã‚ã‚“ãªã‚³ãƒ³ãƒšãŒã‚ã‚‹ãŒã€ã¨ã‚Šã‚ãˆãšèˆˆå‘³ãŒã‚ã‚‹ã®ã«å‚åŠ ã—ã¦ã¿ã‚‹ ç„¡ç†ãã†ãªã‚‰ã‚ãã‚‰ã‚ã‚‹ beat the benchmark(btb)ã¨ã„ã†ã®ãŒForumã«å‡ºã¦ãã‚‹ã®ã§ã€ã¾ãšã¯beat the beat the benchmarkã‚’ç›®æŒ‡ã™ã€‚ã“ã‚ŒãŒã§ãã‚Œã°top25%ã¨ã‹è¡Œã‘ã‚‹ã®ã§ã¯ãªã‹ã‚ã†ã‹ã€‚ ãƒ„ãƒ¼ãƒ«ã®ä½¿ã„æ–¹ã‚’è¦šãˆã‚‹è‰¯ã„æ©Ÿä¼š btbã¯ç‰¹å¾´é‡ã‚’ãã‚“
skozawa 2015/10/26
kaggle

machine learning
ãƒªãƒ³ã‚¯
Natural Language Understanding: Foundations and State-of-the-Art Percy Liang ICML Tutorial July 6, 2015
skozawa 2015/07/07
ICML

NLP

machine learning
ãƒªãƒ³ã‚¯
Model-Based Machine Learning: an online book
Want a paper copy? You can now buy the book! All royalties go to the Cystic Fibrosis Trust. Spotted an error? Have comments? Let us know! Follow @mbmlbook Get hands on with source code for the book.
skozawa 2015/06/12
machine learning
ãƒªãƒ³ã‚¯
30 åˆ†ã§ã‚ã‹ã‚‹Adam
Sharing OptionsShare on Facebook, opens a new window
skozawa 2015/04/30
machine learning
ãƒªãƒ³ã‚¯
ã€ŒAmazon Machine Learningã€ç™ºè¡¨ã€‚ã‚¯ãƒ©ã‚¦ãƒ‰ã§æ©Ÿæ¢°å¦ç¿’ã‚µãƒ¼ãƒ“ã‚¹ã‚’æä¾›
Amazonã‚¯ãƒ©ã‚¦ãƒ‰ã¯ã‚¯ãƒ©ã‚¦ãƒ‰ä¸Šã§æ©Ÿæ¢°å¦ç¿’ã‚’æä¾›ã™ã‚‹ã‚µãƒ¼ãƒ“ã‚¹ã€ŒAmazon Machine Learningã€ã‚’ç™ºè¡¨ã—ã¾ã—ãŸã€‚ ã“ã‚Œã¯Amazonç¤¾å†…ã§ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆé”ãŒä½¿ã£ã¦ã„ã‚‹ã®ã¨åŒã˜ã‚‚ã®ã¨èª¬æ˜Žã•ã‚Œã¦ãŠã‚Šã€æ—¢å˜ã®ãƒ‡ãƒ¼ã‚¿ç¾¤ã‹ã‚‰é©åˆ‡ãªæ©Ÿæ¢°å¦ç¿’ãƒ¢ãƒ‡ãƒ«ã‚’ä½œã‚Šã ã—ï¼ˆãƒ‡ãƒ¼ã‚¿ã‹ã‚‰ãƒ‘ã‚¿ãƒ¼ãƒ³ã‚’å¦ç¿’ã—ï¼‰ã€ãã®ãƒ¢ãƒ‡ãƒ«ã‚’æ–°ã—ã„ãƒ‡ãƒ¼ã‚¿ã«é©ç”¨ã—ã¦äºˆæ¸¬ãªã©ã‚’è¡Œã£ã¦ã„ãã¨ã„ã†ã‚‚ã®ã€‚ é«˜ã„ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã§æ—¥ã€…ä½•åå„„ã‚‚ã®äºˆæ¸¬ã‚’è¡Œã†èƒ½åŠ›ã‚’å‚™ãˆã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã«äºˆæ¸¬ã‚’ç”Ÿæˆã§ãã‚‹ã¨ã•ã‚Œã¦ã„ã¾ã™ã€‚ ç°¡å˜ã«å¦ç¿’ã•ã›ã‚‰ã‚Œã€å¤§è¦æ¨¡å‡¦ç†ã‚‚å¯èƒ½ Amazon Machine Learningã®ãƒšãƒ¼ã‚¸ã§ã¯ã€ç‰¹é•·ã¨ã—ã¦5ã¤ã®è¦ç´ ãŒç¤ºã•ã‚Œã¦ã„ã¾ã™ã€‚ 1ã¤ç›®ã¯ã€æ—¢å˜ãƒ‡ãƒ¼ã‚¿ã‚’Amazon S3ã‚„Redshiftã€Amazon RDSãªã©ã‹ã‚‰ç°¡å˜ã«èªã¿è¾¼ã‚“ã§å¦ç¿’ã•ã›ã‚‹ã“ã¨ãŒã§ãã‚‹ã“ã¨ã€‚2ã¤ç›®ã¯ã€æ•°ç§’ã§ãƒ¢ãƒ‡ãƒ«ã‚’ä½œæˆã—ã€äºˆæ¸¬ã¾ã§ã§ãã‚‹ã“ã¨ã€‚ 3ã¤
skozawa 2015/04/10
amazon

machine learning
ãƒªãƒ³ã‚¯
ã€ŒAzure Machine Learningã€ãŒæ£å¼ç‰ˆã«ã€Pythonã‚„Rã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã«ã‚‚å¯¾å¿œã€‚èª°ã§ã‚‚æ©Ÿæ¢°å¦ç¿’ã‚’åˆ©ç”¨å¯èƒ½ã«
Azure Machine Learningã‚’ç”¨ã„ã‚‹ã“ã¨ã§ã€åˆ©ç”¨è€…ã¯æ©Ÿæ¢°å¦ç¿’ã®ãŸã‚ã®å¤§é‡ã®ä»®æƒ³ãƒžã‚·ãƒ³ã‚„Hadoopã®ã‚ˆã†ãªã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚’ç”¨æ„ã™ã‚‹å¿…è¦ãŒãªããªã‚Šã€å®¹æ˜“ã«æ©Ÿæ¢°å¦ç¿’ã«ã‚ˆã‚‹æŽ¨è«–ã‚„äºˆæ¸¬ã€åˆ†æžã¨ã„ã£ãŸã‚µãƒ¼ãƒ“ã‚¹ã‚’å®Ÿç¾ã§ãã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ã‚¯ãƒ©ã‚¤ã‚¢ãƒ³ãƒˆã¨ã—ã¦Excelã‚’åˆ©ç”¨ã™ã‚‹ã“ã¨ã‚‚å¯èƒ½ã€‚ ãƒ¢ãƒ‡ãƒ«ã®ä½œæˆã«ã¯ã€Webãƒ–ãƒ©ã‚¦ã‚¶ã‹ã‚‰ã‚°ãƒ©ãƒ•ã‚£ã‚«ãƒ«ãªæ“ä½œãŒå¯èƒ½ãªã€ŒAzure Machine Learning Studioã€ãŒç”¨æ„ã•ã‚Œã€ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ä¸è¦ã§åˆ†æžãƒ¢ãƒ‡ãƒ«ã‚’ä½œæˆå¯èƒ½ã€‚ãã®ãƒ¢ãƒ‡ãƒ«ã®ä¸ã§è¡Œã†è¨ˆç®—ã‚„å¦ç¿’ã®ãŸã‚ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã¨ã—ã¦Pythonã¨Rã«ã‚‚å¯¾å¿œã¾ã—ãŸã€‚ ã‚ã‚‰ã‹ã˜ã‚æ©Ÿæ¢°å¦ç¿’ã‚’åˆ©ç”¨ã—ã¦æ§‹ç¯‰ã•ã‚ŒãŸãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ã€ã‚¢ãƒŽãƒžãƒªãƒ¼æ¤œå‡ºã€ãƒ†ã‚ã‚¹ãƒˆåˆ†æžãªã©ã®ã‚µãƒ¼ãƒ“ã‚¹ã‚‚ã€ŒAzure Storeã€ã§æä¾›ã•ã‚Œã€ã™ãã«åˆ©ç”¨å¯èƒ½ã§ã™ã€‚ã‚³ãƒŸãƒ¥ãƒ‹ãƒ†ã‚£ã«ã‚ˆã‚‹ã‚®ãƒ£ãƒ©ãƒªãƒ¼ã‚‚ç”¨æ„ã•ã‚Œã¦ã„ã¾ã™ã€‚ã„ã¾è¦‹ãŸã¨ã“ã‚ã€Œé£›è¡Œæ©Ÿã®ã‚¨ãƒ³ã‚¸ãƒ³ã®
skozawa 2015/02/23
azure

machine learning
ãƒªãƒ³ã‚¯
https://jp.techcrunch.com/2015/01/17/20150116facebook-open-sources-some-of-its-deep-learning-tools/
skozawa 2015/01/22
facebook

deep learning

machine learning
ãƒªãƒ³ã‚¯
Machine Learning: The High-Interest Credit Card of Technical Debt
skozawa 2014/12/09
machine learning

Google

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r/MachineLearning - AMA Geoffrey Hinton
2. Are we any closer to understanding biological models of computation? I think the success of deep learning gives a lot of credibility to the idea that we learn multiple layers of distributed representations using stochastic gradient descent. However, I think we are probably a long way from understanding how the brain does this. Evolution must have found an efficient way to adapt features that ar
skozawa 2014/11/17
machine learning

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