tf.keras.backend.normalize_batch_in_training( x, gamma, beta, reduction_axes, epsilon=0.001 )
Computes mean and std for batch then apply batch_normalization on batch.
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.
A tuple length of 3,
(normalized_tensor, mean, variance).
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Code samples licensed under the Apache 2.0 License.