Class MaxNorm
MaxNorm weight constraint. Constrains the weights incident to each hidden unit to have a norm less than or equal to a desired value.
Namespace: SiaNet.Constraints
Assembly: SiaNet.dll
Syntax
public class MaxNorm : BaseConstraint
Constructors
| Improve this Doc View SourceMaxNorm(Single, Int32)
Initializes a new instance of the MaxNorm class.
Declaration
public MaxNorm(float maxValue = 2F, int axis = 0)
Parameters
Type | Name | Description |
---|---|---|
System.Single | maxValue | The maximum norm for the incoming weights. |
System.Int32 | axis | Integer, axis along which to calculate weight norms. |
Properties
| Improve this Doc View SourceAxis
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, the weight tensor has shape (input_depth, output_depth, rows, cols), set axis to [1, 2, 3] to constrain the weights of each filter tensor of size (input_depth, rows, cols).
Declaration
public int Axis { get; set; }
Property Value
Type | Description |
---|---|
System.Int32 |
MaxValue
The maximum norm for the incoming weights.
Declaration
public float MaxValue { get; set; }
Property Value
Type | Description |
---|---|
System.Single |