Download Artificial Neural Networks pdf by B. Mehlig, These are lecture notes for my course on Artificial Neural Networks that I have given at Chalmers and gothenburg University. This course describes the utilization of neural networks in machine learning: deep learning, recurrent networks, and other supervised and unsupervised machine-learning algorithms. Download the pdf from below to explore all topics and start learning.


1 Introduction

I Hopfield networks
2 Deterministic Hopfield networks
3 Stochastic Hopfield networks
4 Stochastic optimisation

II Supervised learning
5 Perceptrons
6 Stochastic gradient descent
7 Deep learning
8 Recurrent networks

III Unsupervised learning
9 Unsupervised Hebbian learning
10 Radial basis-function networks
11 Reinforcement learning