tf.keras.backend.batch_normalization

TensorFlow 1 version View source on GitHub

Applies batch normalization on x given mean, var, beta and gamma.

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.batch_normalization

 
tf.keras.backend.batch_normalization(
    x, mean, var, beta, gamma, axis=-1, epsilon=0.001
)

I.e. returns: output = (x - mean) / (sqrt(var) + epsilon) * gamma + beta

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 Integer, the axis that should be normalized. (typically the features axis).
epsilon Fuzz factor.

A tensor.