constraint_unitnorm {keras3}R Documentation

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

Description

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

Usage

constraint_unitnorm(axis = 1L)

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)⁠.

Value

A Constraint instance, a callable that can be passed to layer constructors or used directly by calling it with tensors.

See Also

Other constraints:
Constraint()
constraint_maxnorm()
constraint_minmaxnorm()
constraint_nonneg()


[Package keras3 version 1.1.0 Index]