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)