contrib.keras.backend.batch_normalization
tf.contrib.keras.backend.batch_normalization
tf.contrib.keras.backend.batch_normalization
batch_normalization( x, mean, var, beta, gamma, epsilon=0.001 )
Defined in tensorflow/contrib/keras/python/keras/backend.py
.
Applies batch normalization on x given mean, var, beta and gamma.
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. epsilon: Fuzz factor.
Returns:
A tensor.
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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/api_docs/python/tf/contrib/keras/backend/batch_normalization