Liked on YouTube: Gradient descent, how neural networks learn | Chapter 2, Deep learning

Gradient descent, how neural networks learn | Chapter 2, Deep learning
Enjoy these videos? Consider sharing one or two. Help fund future projects: https://ift.tt/2dUrget Special thanks to these supporters: https://ift.tt/3wVDJal Written/interactive form of this series: https://ift.tt/3ykijEn This video was supported by Amplify Partners. For any early-stage ML startup founders, Amplify Partners would love to hear from you via 3blue1brown@amplifypartners.com To learn more, I highly recommend the book by Michael Nielsen https://ift.tt/1jD7u2M The book walks through the code behind the example in these videos, which you can find here: https://ift.tt/1qAkonO MNIST database: https://ift.tt/3wVDJqR Also check out Chris Olah's blog: http://colah.github.io/ His post on Neural networks and topology is particular beautiful, but honestly all of the stuff there is great. And if you like that, you'll *love* the publications at distill: https://distill.pub/ For more videos, Welch Labs also has some great series on machine learning: https://youtu.be/i8D90DkCLhI https://youtu.be/bxe2T-V8XRs "But I've already voraciously consumed Nielsen's, Olah's and Welch's works", I hear you say. Well well, look at you then. That being the case, I might recommend that you continue on with the book "Deep Learning" by Goodfellow, Bengio, and Courville. Thanks to Lisha Li (@lishali88) for her contributions at the end, and for letting me pick her brain so much about the material. Here are the articles she referenced at the end: https://ift.tt/3z4IX5N https://ift.tt/3pmhIit https://ift.tt/3chZUji Music by Vincent Rubinetti: https://ift.tt/2ooBTOA ------------------- Video timeline 0:00 - Introduction 0:30 - Recap 1:49 - Using training data 3:01 - Cost functions 6:55 - Gradient descent 11:18 - More on gradient vectors 12:19 - Gradient descent recap 13:01 - Analyzing the network 16:37 - Learning more 17:38 - Lisha Li interview 19:58 - Closing thoughts ------------------ 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: https://ift.tt/2pu7Oi1 Various social media stuffs: Website: https://ift.tt/2mnl5b2 Twitter: https://twitter.com/3Blue1Brown Patreon: https://ift.tt/2kcCdzU Facebook: https://ift.tt/2mnp8Ei Reddit: https://ift.tt/2kaGumb
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