Explaining neural networks in raw Python: lectures in Jupyter
Introduction
MCP Neuron
Models of memory
Perceptron
More layers
Back propagation
Interpolation
Rectification
Unsupervised learning
Self Organizing Maps
Concluding remarks
Appendix
repository
open issue
Index
