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Module: tf.keras.constraints

TensorFlow 1 version

Constraints: functions that impose constraints on weight values.

Classes

class Constraint

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.

Functions

deserialize(...)

get(...)

serialize(...)