contrib.keras.backend.normalize_batch_in_training

tf.contrib.keras.backend.normalize_batch_in_training

tf.contrib.keras.backend.normalize_batch_in_training

normalize_batch_in_training(
    x,
    gamma,
    beta,
    reduction_axes,
    epsilon=0.001
)

Defined in tensorflow/contrib/keras/python/keras/backend.py.

Computes mean and std for batch then apply batch_normalization on batch.

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)`.