{ }
View source on GitHub |
Computes the categorical crossentropy loss.
tf.keras.losses.categorical_crossentropy(
y_true, y_pred, from_logits=False, label_smoothing=0.0, axis=-1
)
Returns | |
---|---|
Categorical crossentropy loss value. |
Example:
y_true = [[0, 1, 0], [0, 0, 1]]
y_pred = [[0.05, 0.95, 0], [0.1, 0.8, 0.1]]
loss = keras.losses.categorical_crossentropy(y_true, y_pred)
assert loss.shape == (2,)
loss
array([0.0513, 2.303], dtype=float32)