| View source on GitHub |
Computes the categorical crossentropy loss.
tf.keras.losses.categorical_crossentropy(
y_true, y_pred, from_logits=False, label_smoothing=0
)
| Args | |
|---|---|
y_true | tensor of true targets. |
y_pred | tensor of predicted targets. |
from_logits | Whether y_pred is expected to be a logits tensor. By default, we assume that y_pred encodes a probability distribution. |
label_smoothing | Float in [0, 1]. If > 0 then smooth the labels. |
| Returns | |
|---|---|
| Categorical crossentropy loss value. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/losses/categorical_crossentropy