Applies batch normalization on x given mean, var, beta and gamma.
i.e. returns
output <- (x - mean) / (sqrt(var) + epsilon) * gamma + beta
k_batch_normalization(x, mean, var, beta, gamma, axis = -1, epsilon = 0.001)
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. |
A tensor.
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.
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