|View source on GitHub|
MinMaxNorm weight constraint.
See Migration guide for more details.
tf.keras.constraints.MinMaxNorm( min_value=0.0, max_value=1.0, rate=1.0, axis=0 )
Constrains the weights incident to each hidden unit to have the norm between a lower bound and an upper bound.
Also available via the shortcut function
| ||the minimum norm for the incoming weights.|
| ||the maximum norm for the incoming weights.|
| || rate for enforcing the constraint: weights will be rescaled to yield |
| || integer, axis along which to calculate weight norms. For instance, in a |
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