Unraveling the Mysteries of Neural Networks: Chapter 1 of Deep Learning

What is a Neural Network? Chapter 1, Deep learning
What are neurons, layers and the math behind them?
Help fund future projects: https://www.patreon.com/3blue1brown.
Written/interactive form of this series: https://www.3blue1brown.com/topics/neural-networks.

Amplify Partners has provided additional funding for this project.

Typo correction at 14:45 seconds. The last index of the bias vector should be a k, not n.

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.

This book has two cool features. It’s free. If you find it useful, please consider making a small donation to Nielsen’s Way. It’s also based on a walkthrough of some code and data that you can download and covers the same examples as I present in this video. Active learning is great!
https://github.com/mnielsen/neural-networks-and-deep-learning.

I also highly recommend Chris Olah’s blog: http://colah.github.io/

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