k_batch_normalization
Applies batch normalization on x given mean, var, beta and gamma.
Description
i.e. returns output <- (x - mean) / (sqrt(var) + epsilon) * gamma + beta
Usage
k_batch_normalization(x, mean, var, beta, gamma, axis = -1, epsilon = 0.001) Arguments
| Arguments | Description |
|---|---|
| x | Input tensor or variable. |
| mean | Mean of batch. |
| var | Variance of batch. |
| beta | Tensor with which to center the input. |
| gamma | Tensor by which to scale the input. |
| axis | Axis (axis indexes are 1-based). Pass -1 (the default) to select the last axis. |
| 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 tensor.