Table of Contents ▸ List of Commands ▸ Neural Networks ▸ nn_resconv2dnl | ◀ nn_rename | nn_resconv3dnl ▶ |
nn_resconv2dnl
Arguments:
- out,_in,_kernel_size>0,_dilation>0,_boundary_conditions,_activation,_learning_mode,_regularization>=0
Description:
Add a resconv2dnl (residual 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:
in=. (previous layer), kernel_size=3, dilation=1, boundary_conditions=1, activation=leakyrelu, learning_mode=3 and regularization=0.