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I read it fairly recently, and I agree that it is both great and short.

Regarding multi-layer neural nets Minsky says they're uninteresting as they could be declared with enough complexity to basically reimplement any existing logic circuit. What made multi-layer neural nets interesting again was a multi-layer training algorithm.

There another interesting part, shortly after showing that single-layer neural nets can't implement the XOR function, Minsky shows that all that's required for a single-layer neural net to implement the XOR function is to add another column to the training set with specific values, effectively encoding the hidden layer back into the training set.




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