fastai: ConvLayer – R documentation

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fastai

ConvLayer

Description

Create a sequence of convolutional ('ni' to 'nf'), ReLU (if 'use_activ') and 'norm_type' layers.

Usage

ConvLayer(
  ni,
  nf,
  ks = 3,
  stride = 1,
  padding = NULL,
  bias = NULL,
  ndim = 2,
  norm_type = 1,
  bn_1st = TRUE,
  act_cls = nn()$ReLU,
  transpose = FALSE,
  init = "auto",
  xtra = NULL,
  bias_std = 0.01,
  dilation = 1,
  groups = 1,
  padding_mode = "zeros"
)

Arguments

`ni`	number of inputs
`nf`	outputs/ number of features
`ks`	kernel size
`stride`	stride
`padding`	padding
`bias`	bias
`ndim`	dimension number
`norm_type`	normalization type
`bn_1st`	batch normalization 1st
`act_cls`	activation
`transpose`	transpose
`init`	initializer
`xtra`	xtra
`bias_std`	bias standard deviation
`dilation`	specify the dilation rate to use for dilated convolution
`groups`	groups size
`padding_mode`	padding mode, e.g 'zeros'

Value

None

fastai

Interface to 'fastai'

v2.0.7

Apache License 2.0

Authors

Turgut Abdullayev [ctb, cre, cph, aut]

Initial release

ConvLayer

Description

Usage

Arguments

Value

fastai

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