ResNet: ResNet

In fastai: Interface to 'fastai'

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 documentation built on June 22, 2024, 11:15 a.m.