Table of Contents  ▸  List of Commands  ▸  Neural Networks  ▸  nn_conv2dnl

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nn_conv2dnl

Arguments:

• out,in,nb_channels>0,_kernel_size>0,_stride>0,_dilation>0,_shrink>=0,_boundary_conditions,_activation,0<=_learning_mode<=3,regularization>=0

Description:

Add a conv2dnl (2D convolutional layer followed by a non-linearity) to the current network.

boundary_conditions can be { 0:dirichlet | 1:neumann | 2:periodic | 3:mirror }.
learning_mode can be { 0:no learning | 1:weights only | 2:biases only | 3:weights+biases }.

Default values:

kernel_size=3, stride=1, dilation=1, shrink=0, boundary_conditions=1, activation=leakyrelu, learning_mode=3 and regularization=0.