TensorFlow 2 version
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View source on GitHub
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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.
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Returns | |
|---|---|
| Categorical crossentropy loss value. |