tf.keras.losses.categorical_crossentropy

TensorFlow 2 version View source on GitHub

Computes the categorical crossentropy loss.

Main aliases

tf.keras.metrics.categorical_crossentropy

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.losses.categorical_crossentropy, tf.compat.v1.keras.metrics.categorical_crossentropy, `tf.compat.v2.keras.losses.categorical_crossentropy`, `tf.compat.v2.keras.metrics.categorical_crossentropy`, `tf.compat.v2.losses.categorical_crossentropy`, `tf.compat.v2.metrics.categorical_crossentropy`

 
tf.keras.losses.categorical_crossentropy(
    y_true, y_pred, from_logits=False, label_smoothing=0
)

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.

Categorical crossentropy loss value.