Enum Class WeightInitScheme

java.lang.Object
java.lang.Enum<WeightInitScheme>
com.logicaldoc.ai.neural.WeightInitScheme
All Implemented Interfaces:
Serializable, Comparable<WeightInitScheme>, Constable

public enum WeightInitScheme extends Enum<WeightInitScheme>
Supported weight initialization schemes.
  • DISTRIBUTION: Sample weights from a distribution based on shape of input
  • NORMALIZED: Normalize sample weights
  • SIZE: Sample weights from bound uniform distribution using shape for min and max
  • UNIFORM: Sample weights from bound uniform distribution (specify min and max)
  • VI: Sample weights from variance normalized initialization (Glorot)
  • ZERO: Generate weights as zeros
  • RELU: N(0,2/nIn): He et al. (2015), Delving Deep into Rectifiers
Since:
9.2
Author:
Marco Meschieri - LogicalDOC
  • Enum Constant Details

  • Method Details

    • values

      public static WeightInitScheme[] values()
      Returns an array containing the constants of this enum class, in the order they are declared.
      Returns:
      an array containing the constants of this enum class, in the order they are declared
    • valueOf

      public static WeightInitScheme valueOf(String name)
      Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)
      Parameters:
      name - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum class has no constant with the specified name
      NullPointerException - if the argument is null