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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