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Batch normalization.
tf.nn.batch_norm_with_global_normalization(
input, mean, variance, beta, gamma, variance_epsilon, scale_after_normalization,
name=None
)
This op is deprecated. See tf.nn.batch_normalization
.
input
: A 4D input Tensor.mean
: 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.variance
: 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).A batch-normalized t
.