tf.keras.backend.batch_normalization

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

View aliases

Compat aliases for migration

See Migration guide for more details.

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

Arguments
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.

Returns
A tensor.