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Constrains the weights to be non-negative.
Inherits From: Constraint
Also available via the shortcut function tf.keras.constraints.non_neg.
Methods
from_config
@classmethodfrom_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.
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| Returns | |
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A tf.keras.constraints.Constraint instance.
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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). |