tf.keras.losses.squared_hinge
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Computes the squared hinge loss between y_true
and y_pred
.
tf.keras.losses.squared_hinge(
y_true, y_pred
)
Args |
y_true
|
The ground truth values. y_true values are expected to be -1 or 1.
If binary (0 or 1) labels are provided we will convert them to -1 or 1.
|
y_pred
|
The predicted values.
|
Returns |
Tensor with one scalar loss entry per sample.
|
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Last updated 2020-10-01 UTC.
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