k_normalize_batch_in_training: Computes mean and std for batch then apply...
In keras: R Interface to 'Keras'
k_normalize_batch_in_training R Documentation
Computes mean and std for batch then apply batch_normalization on batch.
Description
Computes mean and std for batch then apply batch_normalization on batch.
Usage
k_normalize_batch_in_training(x, gamma, beta, reduction_axes, epsilon = 0.001)
Arguments
x
Input tensor or variable.
gamma
Tensor by which to scale the input.
beta
Tensor with which to center the input.
reduction_axes
iterable of integers, axes over which to normalize.
epsilon
Fuzz factor.
Value
A list length of 3, (normalized_tensor, mean, variance).
Keras Backend
This function is part of a set of Keras backend functions that enable
lower level access to the core operations of the backend tensor engine
(e.g. TensorFlow, CNTK, Theano, etc.).
You can see a list of all available backend functions here:
https://tensorflow.rstudio.com/reference/keras/index.html#backend.
keras documentation built on May 29, 2024, 3:20 a.m.
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| k_normalize_batch_in_training | R Documentation |
Computes mean and std for batch then apply batch_normalization on batch.
Description
Computes mean and std for batch then apply batch_normalization on batch.
Usage
k_normalize_batch_in_training(x, gamma, beta, reduction_axes, epsilon = 0.001)
Arguments
x |
Input tensor or variable. |
gamma |
Tensor by which to scale the input. |
beta |
Tensor with which to center the input. |
reduction_axes |
iterable of integers, axes over which to normalize. |
epsilon |
Fuzz factor. |
Value
A list length of 3, (normalized_tensor, mean, variance).
Keras Backend
This function is part of a set of Keras backend functions that enable lower level access to the core operations of the backend tensor engine (e.g. TensorFlow, CNTK, Theano, etc.).
You can see a list of all available backend functions here: https://tensorflow.rstudio.com/reference/keras/index.html#backend.
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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