tf.keras.backend.batch_normalization | TensorFlow v2.0.0 (original) (raw)
tf.keras.backend.batch_normalization
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Applies batch normalization on x given mean, var, beta and gamma.
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Compat aliases for migration
SeeMigration guide for more details.
tf.compat.v1.keras.backend.batch_normalization
tf.keras.backend.batch_normalization(
x, mean, var, beta, gamma, axis=-1, epsilon=0.001
)
I.e. returns:output = (x - mean) / (sqrt(var) + epsilon) * gamma + beta
| Arguments | |
|---|---|
| x | Input tensor or variable. |
| mean | Mean of batch. |
| var | Variance of batch. |
| beta | Tensor with which to center the input. |
| gamma | Tensor by which to scale the input. |
| axis | Integer, the axis that should be normalized. (typically the features axis). |
| epsilon | Fuzz factor. |
| Returns |
|---|
| A tensor. |
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Last updated 2020-10-01 UTC.