Constraints: functions that impose constraints on weight values.
class MaxNorm
: MaxNorm weight constraint.
class MinMaxNorm
: MinMaxNorm weight constraint.
class NonNeg
: Constrains the weights to be non-negative.
class RadialConstraint
: Constrains Conv2D
kernel weights to be the same for each radius.
class UnitNorm
: Constrains the weights incident to each hidden unit to have unit norm.
class max_norm
: MaxNorm weight constraint.
class min_max_norm
: MinMaxNorm weight constraint.
class non_neg
: Constrains the weights to be non-negative.
class radial_constraint
: Constrains Conv2D
kernel weights to be the same for each radius.
class unit_norm
: Constrains the weights incident to each hidden unit to have unit norm.
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Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/keras/constraints