tf.keras.backend.batch_normalization

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

Compat aliases for migration

tf.compat.v1.keras.backend.batch_normalization, tf.compat.v2.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.