tf.keras.losses.poisson

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Computes the Poisson loss between y_true and y_pred.

The Poisson loss is the mean of the elements of the Tensor y_pred - y_true * log(y_pred).

Usage:

loss = tf.keras.losses.poisson([1.4, 9.3, 2.2], [4.3, 8.2, 12.2])
print('Loss: ', loss.numpy())  # Loss: -0.8045559
Args
y_true Tensor of true targets.
y_pred Tensor of predicted targets.
Returns
A Tensor with the mean Poisson loss.
Raises
InvalidArgumentError If y_true and y_pred have incompatible shapes.

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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/poisson