An Extended Version Of The Scikit-Learn Cheat Sheet
You probably know the famous scikit-learn algorithm cheat sheet. For fun, I revisited it a bit … An Extended Version Of The Scikit-Learn Cheat SheetYou probably know the famous scikit-learn algorithm cheat sheet. This is a kind of decision tree, helping to figure out what machine learning algorithm to choose, depending on the type of problem you have : classification, regression, etc. … Now that I
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Neural Networks, Types, and Functional Programming -- colah's blog
An Ad-Hoc Field Deep learning, despite its remarkable successes, is a young field. While models called artificial neural networks have been studied for decades, much of that work seems only tenuously connected to modern results. It’s often the case that young fields start in a very ad-hoc manner. Later, the mature field is understood very differently than it was understood by its early practitione
ディープラーニングã¨é€šå¸¸ã®æ©Ÿæ¢°å¦ç¿’ã®é•ã„ã¯ä½•ã§ã™ã‹ï¼Ÿ
å›žç” (13件ä¸ã®1件目) https://www.youtube.com/watch?v=-AoXwZSf6E0 Artificial Intelligence (人工知能)　ã®ä¸€ç¨®ãŒ Machine Learning (機械å¦ç¿’)　ã®ä¸€ç¨®ãŒ Deep Learning (ディープラーニング) ã¨ã„ã†å›³å¼ã¨ãªã‚Šã¾ã™ã€‚ ãŸã ã—今後ã¯å®Ÿè³ªã€AI/機械å¦ç¿’ã¯ãƒ‡ã‚£ãƒ¼ãƒ—ラーニングをベースã«å±•é–‹ã—ã¦ã„ãã‚‚ã®ã¨æ€ã‚ã‚Œã¾ã™ã€‚ ã“ã“ã®ä»–ã®å›žç”ã«ã‚ã¾ã‚Šã«ã‚‚é–“é•ã£ãŸã‚‚ã®ãŒå¤šã„（ã¨ã„ã†ã‚ˆã‚Šç¾æ™‚点ã§ï¼—件ã®å›žç”ãŒã¤ã„ã¦ã„ã¾ã™ãŒã€ãã®ã»ã¼ã™ã¹ã¦ã«å¤§ããªå•é¡ŒãŒã‚る）ã®ã§ã€å›žç”ã•ã›ã¦ã„ãŸã ãã¾ã™ã€‚ ã¾ãšã€ä½•...
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