Table of Contents
- Artificial Neural Networks
- Linear Associative Networks
- Perceptrons
- The Backpropagation Algorithm
- Hopfield Nets
- Boltzmann Machines
- DeepRBMs
- Variational Autoencoders
- Deep Backprop Networks
- Reinforcement Learning
- The Emperor's New AI?

A Tutorial Introduction to the Mathematics of Deep Learning