W3cubDocs

/TensorFlow 2.3

tf.keras.backend.sparse_categorical_crossentropy

View source on GitHub

Categorical crossentropy with integer targets.

Arguments
target An integer tensor.
output A tensor resulting from a softmax (unless from_logits is True, in which case output is expected to be the logits).
from_logits Boolean, whether output is the result of a softmax, or is a tensor of logits.
axis Int specifying the channels axis. axis=-1 corresponds to data format channels_last', andaxis=1corresponds to data formatchannels_first`.
Returns
Output tensor.
Raises
ValueError if axis is neither -1 nor one of the axes of output.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/backend/sparse_categorical_crossentropy