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Constrains the weights to be non-negative.
Inherits From: Constraint
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(). |
| Returns | |
|---|---|
A 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). |