| relu_layer {CNN} |
R Documentation |
This is a layer of neurons that applies the non-saturating activation
Description
function f(x)=max(0,x). It increases the nonlinear properties of the
decision function and of the overall network without affecting the
receptive fields of the convolution layer.
Usage
Arguments
Details
Authors
MLkit
Value
this function returns data object of type
CNNLayerArguments.
clr value class
Examples
[Package
CNN version 1.0.0.0
Index]