On the Selection of Initialization and Activation Function for Deep Neural Networks

ICLR 2019 Soufiane HayouArnaud DoucetJudith Rousseau

The weight initialization and the activation function of deep neural networks have a crucial impact on the performance of the training procedure. An inappropriate selection can lead to the loss of information of the input during forward propagation and the exponential vanishing/exploding of gradients during back-propagation... (read more)

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