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Written/interactive form of this series: https://www.3blue1brown.com/topics/neural-networks
This video was supported by Amplify Partners.
For all the founders of early-stage ML startups, Amplify Partners looks forward to hearing from you at [email protected]
For more information, I highly recommend Michael Nielsen's book
http://neuralnetworksanddeeplearning.com/
The book walks through the code behind the example in these videos, which you can find here:
https://github.com/mnielsen/neural-networks-and-deep-learning
MNIST database:
http://yann.lecun.com/exdb/mnist/
Also check out Chris Olah's blog:
http://colah.github.io/
His post on neural networks and topology is particularly nice, but honestly all the stuff there is great.
And if you like that, you'll *love* the publications at Distillation:
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 have already voraciously consumed the works of Nielsen, Olah and Welch/
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