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I‘m looking for a good minimal numerical example for teaching how a neural net is solved. Basically the idea is to see how the hidden layers (i.e. the weights) work using „pen and paper“.

Back in Uni I did similar things „by hand“ for OLS regression on a 3x3 matrix.

Does anyone know about a good source/example for neural nets?

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Please check the work of Andrew Trask in this book.

Most detailed work on this that I have seen.

grokking Deep Learning

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