tf.keras.constraints.NonNeg

Constrains the weights to be non-negative.

Inherits From: Constraint

Also available via the shortcut function tf.keras.constraints.non_neg.

Methods

get_config

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get_config()

Returns a Python dict of the object config.

A constraint config is a Python dictionary (JSON-serializable) that can be used to reinstantiate the same object.

Returns
Python dict containing the configuration of the constraint object.

__call__

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__call__(
    w
)

Applies the constraint to the input weight variable.

By default, the inputs weight variable is not modified. Users should override this method to implement their own projection function.

Args
w Input weight variable.

Returns
Projected variable (by default, returns unmodified inputs).