View source on GitHub |
Constrains the weights to be non-negative.
Inherits From: Constraint
Also available via the shortcut function tf.keras.constraints.non_neg
.
Methods
from_config
@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 tf.keras.constraints.Constraint instance.
|
get_config
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__
__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). |