tf.keras.backend.normalize_batch_in_training

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

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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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/backend/normalize_batch_in_training