View source on GitHub |
Computes the Dice loss value between y_true
and y_pred
.
Inherits From: Loss
tf.keras.losses.Dice(
reduction='sum_over_batch_size', name='dice'
)
Formula:
loss = 1 - (2 * sum(y_true * y_pred)) / (sum(y_true) + sum(y_pred))
Args | |
---|---|
y_true
|
tensor of true targets. |
y_pred
|
tensor of predicted targets. |
Returns | |
---|---|
Dice loss value. |
Methods
call
call(
y_true, y_pred
)
from_config
@classmethod
from_config( config )
get_config
get_config()
__call__
__call__(
y_true, y_pred, sample_weight=None
)
Call self as a function.