InstanceNorm: InstanceNorm
In fastai: Interface to 'fastai'
InstanceNorm R Documentation
InstanceNorm
Description
InstanceNorm layer with 'nf' features and 'ndim' initialized depending on 'norm_type'.
Usage
InstanceNorm(
nf,
ndim = 2,
norm_type = 5,
affine = TRUE,
eps = 1e-05,
momentum = 0.1,
track_running_stats = FALSE
)
Arguments
nf
input shape
ndim
dimension number
norm_type
normalization type
affine
affine
eps
epsilon
momentum
momentum
track_running_stats
track running statistics
Value
None
fastai documentation built on June 22, 2024, 11:15 a.m.
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| InstanceNorm | R Documentation |
InstanceNorm
Description
InstanceNorm layer with 'nf' features and 'ndim' initialized depending on 'norm_type'.
Usage
InstanceNorm(
nf,
ndim = 2,
norm_type = 5,
affine = TRUE,
eps = 1e-05,
momentum = 0.1,
track_running_stats = FALSE
)
Arguments
nf |
input shape |
ndim |
dimension number |
norm_type |
normalization type |
affine |
affine |
eps |
epsilon |
momentum |
momentum |
track_running_stats |
track running statistics |
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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