|TensorFlow 2 version||View source on GitHub|
MaxNorm weight constraint.
See Migration guide for more details.
tf.keras.constraints.MaxNorm( max_value=2, axis=0 )
Constrains the weights incident to each hidden unit to have a norm less than or equal to a desired value.
||the maximum norm for the incoming weights.|
integer, axis along which to calculate weight norms.
For instance, in a
__call__( w )
Call self as a function.