tf.keras.losses.Huber

Computes the Huber loss between y_true & y_pred.

Inherits From: Loss

Used in the notebooks

Used in the tutorials

Formula:

for x in error:
    if abs(x) <= delta:
        loss.append(0.5 * x^2)
    elif abs(x) > delta:
        loss.append(delta * abs(x) - 0.5 * delta^2)

loss = mean(loss, axis=-1)

See: Huber loss.

delta A float, the point where the Huber loss function changes from a quadratic to linear.
reduction Type of reduction to apply to loss. Options are "sum", "sum_over_batch_size" or None. Defaults to "sum_over_batch_size".
name Optional name for the instance.

Methods

call

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from_config

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get_config

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__call__

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Call self as a function.