ResNet {fastai} | R Documentation |
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 |
[Package fastai version 2.2.2 Index]