machine learning - Neural Networks (input and output layers) -

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When working with mutation classification, it always happens that the number of nodes (which are vectors) except the bias in the input layer is similar to the number of nodes in the output layer?

Incomplete input layer features makes output prediction for layer classes. There is no need to have the same number of facilities and classes; It also depends on how many models you model multiple square output.

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