ResNet

Source: R/vision_models.R

Base class for all neural network modules.

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