Conv_norm_lr — conv_norm_lr • fastai

Conv_norm_lr

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