Table of contents

1. External sources of information
2. Neural networks - the feed-forward model
3. Loss functions and maximum likelihood
4. Stochastic gradient descent
5. Error backpropagation

Exercise a)

Exercise b)

Exercise c)

Exercise d) optional

Exercise e)

Exercise f) optional