tf.keras.backend.normalize_batch_in_training

Computes mean and std for batch then apply batch_normalization on batch.

Compat aliases for migration

See Migration guide for more details.

tf.keras.backend.normalize_batch_in_training(
    x, gamma, beta, reduction_axes, epsilon=0.001
)

Arguments
`x`	Input tensor or variable.
`gamma`	Tensor by which to scale the input.
`beta`	Tensor with which to center the input.
`reduction_axes`	iterable of integers, axes over which to normalize.
`epsilon`	Fuzz factor.

Returns
A tuple length of 3, `(normalized_tensor, mean, variance)`.

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Last updated 2020-10-01 UTC.

Arguments