conv_norm_lr {fastai} | R Documentation |
Conv_norm_lr
Description
Conv_norm_lr
Usage
conv_norm_lr(
ch_in,
ch_out,
norm_layer = NULL,
ks = 3,
bias = TRUE,
pad = 1,
stride = 1,
activ = TRUE,
slope = 0.2,
init = nn()$init$normal_,
init_gain = 0.02
)
Arguments
ch_in |
input |
ch_out |
output |
norm_layer |
normalziation layer |
ks |
kernel size |
bias |
bias |
pad |
pad |
stride |
stride |
activ |
activation |
slope |
slope |
init |
inititializer |
init_gain |
initializer gain |
Value
None
[Package fastai version 2.2.2 Index]