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Backprop is such a fundamental part of Neural Networks, I am very surprised how anyone can complain about having to know how it works. It is true that once you grocked the principle implementing it for more than 2 layers is pretty tedious. I would propose, however, that without having done the tedious work at least once you cannot truly understand it.

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