![]() |
Batch normalization.
Aliases:
tf.nn.batch_norm_with_global_normalization(
t=None,
m=None,
v=None,
beta=None,
gamma=None,
variance_epsilon=None,
scale_after_normalization=None,
name=None,
input=None,
mean=None,
variance=None
)
This op is deprecated. See tf.nn.batch_normalization
.
Args:
t
: A 4D input Tensor.m
: A 1D mean Tensor with size matching the last dimension of t. This is the first output from tf.nn.moments, or a saved moving average thereof.v
: A 1D variance Tensor with size matching the last dimension of t. This is the second output from tf.nn.moments, or a saved moving average thereof.beta
: A 1D beta Tensor with size matching the last dimension of t. An offset to be added to the normalized tensor.gamma
: A 1D gamma Tensor with size matching the last dimension of t. If "scale_after_normalization" is true, this tensor will be multiplied with the normalized tensor.variance_epsilon
: A small float number to avoid dividing by 0.scale_after_normalization
: A bool indicating whether the resulted tensor needs to be multiplied with gamma.name
: A name for this operation (optional).input
: Alias for t.mean
: Alias for m.variance
: Alias for v.
Returns:
A batch-normalized t
.