| View source on GitHub |
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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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/backend/normalize_batch_in_training