tf.keras.Loss  |  TensorFlow v2.16.1 (original) (raw)

tf.keras.Loss

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Loss base class.

View aliases

Main aliases

tf.keras.losses.Loss

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.keras.Loss

tf.keras.Loss(
    name=None, reduction='sum_over_batch_size', dtype=None
)

To be implemented by subclasses:

• call(): Contains the logic for loss calculation using y_true,y_pred.

Example subclass implementation:

class MeanSquaredError(Loss):
    def call(self, y_true, y_pred):
        return ops.mean(ops.square(y_pred - y_true), axis=-1)

Methods

call

View source

call(
    y_true, y_pred
)

from_config

View source

@classmethod from_config( config )

get_config

View source

get_config()

__call__

View source

__call__(
    y_true, y_pred, sample_weight=None
)

Call self as a function.

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Last updated 2024-06-07 UTC.