ResNet: ResNet
In fastai: Interface to 'fastai'

Description Usage Arguments

View 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
)

`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 July 28, 2021, 5:06 p.m.

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README.md Audio Classification Basic Image Classification Basic Tabular Bayesian Optimisation Callbacks Custom Image Classification Data augmentation GPT2 Head pose Low-level ops Medical image Migrating from Catalyst Migrating from Ignite Migrating from Lightning Migrating from Pytorch Multilabel classification Object detection Optimizer Question-Answering RoBERTa Speech Recognition Super-Resolution GAN Text-summarization Time-Series

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