tf.keras.constraints.NonNeg

Constrains the weights to be non-negative.

Inherits From: Constraint

Methods

from_config

View source

@classmethod
from_config(
    config
)

Instantiates a weight constraint from a configuration dictionary.

Example:

constraint = UnitNorm()
config = constraint.get_config()
constraint = UnitNorm.from_config(config)

Args
config A Python dictionary, the output of get_config().

Returns
A keras.constraints.Constraint instance.

get_config

View source

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__

View source

__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).