ConvLayer: ConvLayer

In EagerAI/fastai: Interface to '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

EagerAI/fastai documentation built on April 16, 2024, 12:01 p.m.