ResBlock: ResBlock
In fastai: Interface to 'fastai'

ResBlock

R Documentation

ResBlock

Description

Resnet block from 'ni' to 'nh' with 'stride'

Usage

ResBlock(
  expansion,
  ni,
  nf,
  stride = 1,
  groups = 1,
  reduction = NULL,
  nh1 = NULL,
  nh2 = NULL,
  dw = FALSE,
  g2 = 1,
  sa = FALSE,
  sym = FALSE,
  norm_type = 1,
  act_cls = nn$ReLU,
  ndim = 2,
  ks = 3,
  pool = AvgPool(),
  pool_first = TRUE,
  padding = NULL,
  bias = NULL,
  bn_1st = TRUE,
  transpose = FALSE,
  init = "auto",
  xtra = NULL,
  bias_std = 0.01,
  dilation = 1,
  padding_mode = "zeros"
)

Arguments

`expansion`	decoder
`ni`	number of linear inputs
`nf`	number of features
`stride`	stride number
`groups`	groups number
`reduction`	reduction
`nh1`	out channels 1
`nh2`	out channels 2
`dw`	dw paramer
`g2`	g2 block
`sa`	sa parameter
`sym`	symmetric
`norm_type`	normalization type
`act_cls`	activation
`ndim`	dimension number
`ks`	kernel size
`pool`	pooling type, Average, Max
`pool_first`	pooling first
`padding`	padding
`bias`	bias
`bn_1st`	batch normalization 1st
`transpose`	transpose
`init`	initializer
`xtra`	xtra
`bias_std`	bias standard deviation
`dilation`	dilation number
`padding_mode`	padding mode