tf.keras.losses.poisson

Computes the Poisson loss between y_true and y_pred.

Main aliases

Compat aliases for migration

See Migration guide for more details.

tf.keras.losses.poisson(
    y_true, y_pred
)

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

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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Last updated 2020-10-01 UTC.

Args