View source: R/cycleGAN_models.R
pad_conv_norm_relu | R Documentation |
Pad_conv_norm_relu
pad_conv_norm_relu( ch_in, ch_out, pad_mode, norm_layer, ks = 3, bias = TRUE, pad = 1, stride = 1, activ = TRUE, init = nn()$init$kaiming_normal_, init_gain = 0.02 )
ch_in |
input |
ch_out |
output |
pad_mode |
padding mode |
norm_layer |
normalization layer |
ks |
kernel size |
bias |
bias |
pad |
padding |
stride |
stride |
activ |
activation |
init |
initializer |
init_gain |
init gain |
None
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