Type Huber
Namespace tensorflow.keras.losses
Parent LossFunctionWrapper
Interfaces IHuber
Computes the Huber loss between `y_true` and `y_pred`. For each value x in `error = y_true - y_pred`: ```
loss = 0.5 * x^2 if |x| <= d
loss = 0.5 * d^2 + d * (|x| - d) if |x| > d
```
where d is `delta`. See: https://en.wikipedia.org/wiki/Huber_loss Usage:
Usage with the `compile` API:
Show Example
l = tf.keras.losses.Huber()
loss = l([0., 1., 1.], [1., 0., 1.])
print('Loss: ', loss.numpy()) # Loss: 0.333