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Activation function is a non-linear transformation, usually applied in neural networks to the output of the linear or convolutional layer. Common activation functions: sigmoid, tanh, ReLU, etc.

6 votes

LeakyReLU vs PReLU

Pretty old question; but I will add one more detail in case someone else ends up here. Motivation behind PReLU was to overcome shortcomings of ReLU(dying ReLU problem) and LeakyReLU(inconsistent predi …
Rajesh Timilsina's user avatar