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Use this tag for questions related to "hyperbolic tangent activation functions" (tanh) used in neural networks.
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Why and when do we use ReLU over tanh activation function?
I was reading LeCun Efficient Backprop and the author repeated stressed the importance of average the input patterns at 0 and thus justified the usage of tanh sigmoid. … But if tanh is good then how come ReLU is very popular in most NNs (which is even more odd when the authors didn't mention about ReLU at all) …