tf.keras.constraints.UnitNorm

Class UnitNorm

Inherits From: Constraint

Aliases:

• Class tf.keras.constraints.UnitNorm
• Class tf.keras.constraints.unit_norm

Defined in tensorflow/python/keras/constraints.py.

Constrains the weights incident to each hidden unit to have unit norm.

Arguments:

• axis: integer, axis along which to calculate weight norms. For instance, in a Dense layer the weight matrix has shape (input_dim, output_dim), set axis to 0 to constrain each weight vector of length (input_dim,). In a Conv2D layer with data_format="channels_last", the weight tensor has shape (rows, cols, input_depth, output_depth), set axis to [0, 1, 2] to constrain the weights of each filter tensor of size (rows, cols, input_depth).

__init__

__init__(axis=0)

Initialize self. See help(type(self)) for accurate signature.

Methods

tf.keras.constraints.UnitNorm.__call__

__call__(w)

Call self as a function.

tf.keras.constraints.UnitNorm.get_config

get_config()