This is the third chapter in the series on machine learning. The focus is on generalized artificial neural networks (ANNs) . Covering this topic requires an extensive background discussion containing a fair amount of math, so be forewarned. The Python implementation on the Raspberry Pi also takes a good deal of discussion. I try my best to keep it all interesting and to the point.
Let’s start with a brief review of some fundamentals, and then move on to some calculations for a larger three-layer, nine-node ANN using Python and matrix algorithms ...
