Neural Networks and Deep Learning
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
Neural Networks and Deep Learning is a free online book. The book will teach you about:
- Neural networks, a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data
- Deep learning, a powerful set of techniques for learning in neural networks
The book is currently an incomplete beta draft. More chapters will be added over the coming months. For now, you can:
- Read Chapter 1, which explains how neural networks can learn to recognize handwriting
- Read Chapter 2, which explains backpropagation, the most important algorithm used to learn in neural networks.
- Read Chapter 3, which explains many techniques which can be used to improve the performance of backpropagation.
- Read Chapter 4, which explains why neural networks can compute any function.
- Learn more about the approach taken in this book
