fastai: ResNet – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

ResNet

Description

Base class for all neural network modules.

Usage

ResNet(
  block,
  layers,
  num_classes = 1000,
  zero_init_residual = FALSE,
  groups = 1,
  width_per_group = 64,
  replace_stride_with_dilation = NULL,
  norm_layer = NULL
)

Arguments

`block`	the blocks that need to passed to ResNet
`layers`	the layers to pass to ResNet
`num_classes`	the number of classes
`zero_init_residual`	logical, initializer
`groups`	the groups
`width_per_group`	the width per group
`replace_stride_with_dilation`	logical, replace stride with dilation
`norm_layer`	norm_layer

fastai

Interface to 'fastai'

v2.0.7

Apache License 2.0

Authors

Turgut Abdullayev [ctb, cre, cph, aut]

Initial release

ResNet

Description

Usage

Arguments

fastai

We don't support your browser anymore