Combat for vanishing gradient

Yoshua Bengio, Antoine Bordes, Xavier Glorot in their paper “Deep Sparse Rectifier Neural Networks” shows that ReLU activation function can avoid vanishing gradient problem. This means that now, apart from GPU, deep learning community has another tool to avoid issues of longer and impractical training times of deep neural network.

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