Notes for the book.
Source code for the book.
- Chapter 1 : Using neural nets to recognize handwritten digits
- Chapter 2 : How the backpropogation algorithm works
- Chapter 3 : Improving the way neural networks learn
- Chapter 4 : A visual proof that neural networks can compute any function
- Chapter 5 : Why are deep neural networks hard to train?
- Chapter 6 : Deep Learning
- Appendix : Is there a simple algorithm for intelligence?
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