Backpropagation calculus | DL4 скачать в хорошем качестве

Backpropagation calculus | DL4

Help fund future projects:   / 3blue1brown   An equally valuable form of support is to share the videos. Special thanks to these supporters: http://3b1b.co/nn3-thanks Written/interactive form of this series: https://www.3blue1brown.com/topics/ne... This one is a bit more symbol-heavy, and that's actually the point. The goal here is to represent in somewhat more formal terms the intuition for how backpropagation works in part 3 of the series, hopefully providing some connection between that video and other texts/code that you come across later. For more on backpropagation: http://neuralnetworksanddeeplearning.... https://github.com/mnielsen/neural-ne... http://colah.github.io/posts/2015-08-... Music by Vincent Rubinetti: https://vincerubinetti.bandcamp.com/a... Thanks to these viewers for their contributions to translations Звуковая дорожка на русском языке: Влад Бурмистров. Hebrew: Omer Tuchfeld ------------------ Video timeline 0:00 - Introduction 0:38 - The Chain Rule in networks 3:56 - Computing relevant derivatives 4:45 - What do the derivatives mean? 5:39 - Sensitivity to weights/biases 6:42 - Layers with additional neurons 9:13 - Recap ------------------ 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): http://3b1b.co/subscribe 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:   / 3blue1brown   Patreon:   / 3blue1brown   Facebook:   / 3blue1brown   Reddit:   / 3blue1brown