Deep Learning was that uncool! The tanh function saturates at very high or very low values of z.
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Dropout With about 60M parameters to train, the authors experimented with other ways to reduce overfitting too.
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They increased the size of the data by a factor of 2048 using this method.
For negative values of z, the slope is still zero, but most of the neurons in a neural network usually end up having positive values.