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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 Nielsen's way 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!
I also highly recommend Chris Olah's blog: http://colah.github.io/
For more video, Welch Labs also has some great series on machine learning:
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
Music by Vincent Rubinetti: https://soundcloud.com/vincerubinetti/
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If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended
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