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nn_conv2d

Arguments:

• out,in,nb_channels>0,_kernel_size>0,_stride>0,_dilation,_border_shrink>=0,_boundary_conditions,0<=_learning_mode<=3

Description:

Add a conv2d layer (2D convolutional layer) to the 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, border_shrink=0, boundary_conditions=1 and learning_mode=3.