k_normalize_batch_in_training
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
| Arguments | Description |
|---|---|
| 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. |
Section
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://keras.rstudio.com/articles/backend.html#backend-functions.
Value
A list length of 3, (normalized_tensor, mean, variance).