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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?

Peter
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  • https://datascience.stackexchange.com/questions/55099/layer-notation-for-feed-forward-neural-networks/55109#55109 This might be helpful if you mean something like this. Also, I've seen something before but I can't remember where! – Fatemeh Asgarinejad Jul 19 '19 at 02:59

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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

10xAI
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