tf.keras.backend.normalize_batch_in_training
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Computes mean and std for batch then apply batch_normalization on batch.
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.
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