weights acts as a coefficient for the loss. If a scalar is provided,
then the loss is simply scaled by the given value. If weights is a
tensor of size [batch_size], then the loss weights apply to each
corresponding sample.
Args
logits
[batch_size, num_classes] logits outputs of the network .
labels
[batch_size, 1] or [batch_size] labels of dtype int32 or int64
in the range [0, num_classes).
weights
Coefficients for the loss. The tensor must be a scalar or a tensor
of shape [batch_size] or [batch_size, 1].
scope
the scope for the operations performed in computing the loss.
Returns
A scalar Tensor representing the mean loss value.
Raises
ValueError
If the shapes of logits, labels, and weights are
incompatible, or if weights is None.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]