Pad_conv_norm_relu — pad_conv_norm_relu • fastai

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
)

Arguments

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

Value

None