AvgPool: AvgPool
In fastai: Interface to 'fastai'
AvgPool R Documentation
AvgPool
Description
nn$AvgPool layer for 'ndim'
Usage
AvgPool(ks = 2, stride = NULL, padding = 0, ndim = 2, ceil_mode = FALSE)
Arguments
ks
kernel size
stride
the stride of the window. Default value is kernel_size
padding
implicit zero padding to be added on both sides
ndim
dimension number
ceil_mode
when True, will use ceil instead of floor to compute the output shape
Value
None
fastai documentation built on June 22, 2024, 11:15 a.m.
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| AvgPool | R Documentation |
AvgPool
Description
nn$AvgPool layer for 'ndim'
Usage
AvgPool(ks = 2, stride = NULL, padding = 0, ndim = 2, ceil_mode = FALSE)
Arguments
ks |
kernel size |
stride |
the stride of the window. Default value is kernel_size |
padding |
implicit zero padding to be added on both sides |
ndim |
dimension number |
ceil_mode |
when True, will use ceil instead of floor to compute the output shape |
Value
None
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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