A Tensor. Must be one of the following types: float32, float64, int32, uint8, int16, int8, complex64, int64, qint8, quint8, qint32, bfloat16, qint16, quint16, uint16, complex128, half, uint32, uint64.
A 4D input Tensor.
m
A Tensor. Must have the same type as t.
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 Tensor. Must have the same type as t.
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.
gamma
A Tensor. Must have the same type as t.
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.
backprop
A Tensor. Must have the same type as t. 4D backprop Tensor.
variance_epsilon
A float. A small float number to avoid dividing by 0.
scale_after_normalization
A bool.
A bool indicating whether the resulted tensor
needs to be multiplied with gamma.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]