Neural Networks and Deep Learning

Neural Networks and Deep Learning

What this book is about

On the exercises and problems

Using neural nets to recognize handwritten digits

How the backpropagation algorithm works

Improving the way neural networks learn

A visual proof that neural nets can compute any function

Why are deep neural networks hard to train?

Deep learning

Appendix: Is there a simple algorithm for intelligence?

Acknowledgements

Frequently Asked Questions


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If you benefit from the book, please make a small donation. I suggest $5, but you can choose the amount.

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Alternately, you can make a donation by sending me Bitcoin, at address 1Kd6tXH5SDAmiFb49J9hknG5pqj7KStSAx

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Sponsors

Thanks to all the supporters who made the book possible, with especial thanks to Pavel Dudrenov. Thanks also to all the contributors to the Bugfinder Hall of Fame.


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Deep Learning, book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville

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By Michael Nielsen / Dec 2017

Neural Networks and Deep Learning is a free online book. The book will teach you about: