tf.keras.losses.poisson
Computes the Poisson loss between y_true and y_pred.
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).
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. |