Initialisation de Xavier

Définition

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Xavier Initialization

 Xavier initialization assigns the start weights in the first hidden layer so that the input signals reach deep into the neural network. It scales the weights based on the number of neurons and outputs. This way, it prevents the signal from either becoming too small or too large later in the network.

Source : towardsdatascience