Finally finished reading through Block 4 of M366 on Neural Networks.

Fascinating stuff, I particularly enjoyed the way you can train a simple network to sort complicated input patterns into the right categories etc.

Elman’s word clustering in his semantic experiments is amazing, especially the way that the network clusters related words into lexical groups while it is being trained to guess the next letter in a sequence!

Anyway, now that I am ahead of schedule with this course, I can now finish off reading the other courses’ books before continuing with the assignments.

I’ve been creating automatic documentation for the Entertainer project using Doxygen.
As you may know, Entertainer is written in python, so what follows is a short guide to commenting python code in a format that Doxygen will pick up.