tf.keras.backend.normalize_batch_in_training
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). |
© 2020 The TensorFlow Authors. All rights reserved.
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