Unlike SoftmaxCrossEntropyWithLogits, this operation does not accept
a matrix of label probabilities, but rather a single label per row
of features. This label is considered to have probability 1.0 for the
given row.
Inputs are the logits, not probabilities.
Args
features
A Tensor. Must be one of the following types: half, bfloat16, float32, float64.
batch_size x num_classes matrix
labels
A Tensor. Must be one of the following types: int32, int64.
batch_size vector with values in [0, num_classes).
This is the label for the given minibatch entry.
[[["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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-01-23 UTC."],[],[]]