TensorFlow 1 version | View source on GitHub |
Applies batch normalization on x given mean, var, beta and gamma.
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. |