tf.keras.constraints.NonNeg      View source on GitHub    Constrains the weights to be non-negative. Inherits From: Constraint  View aliases  Main aliases 
tf.keras.constraints.non_neg Compat aliases for migration See Migration guide for more details. tf.compat.v1.keras.constraints.NonNeg, tf.compat.v1.keras.constraints.non_neg  Also available via the shortcut function tf.keras.constraints.non_neg. Methods 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).  
  

    
{'path': 'public/docs/tensorflow~2.9/keras/constraints/nonneg.html', 'source': 'DevDocs.IO'}