tf.keras.losses.poisson
View source on GitHub |
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. |
© 2020 The TensorFlow Authors. All rights reserved.
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