tf.keras.backend.normalize_batch_in_training

View source on GitHub

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

View aliases

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.normalize_batch_in_training, `tf.compat.v2.keras.backend.normalize_batch_in_training`

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).