Class LayerDimlp

• Defined in File layerDmp.h

Inheritance Relationships

Base Type

• public Layer (Class Layer)

Class Documentation

class LayerDimlp : public Layer

The LayerDimlp class represents a Dimlp layer in a neural network using a staircase activation function.

This class inherits from the Layer class and overrides several functions to implement specific behaviors for the forward pass, weight adaptation, and delta computation. It uses the staircase activation function for neuron activations.

Public Functions

LayerDimlp(float eta, float mu, float flat, int nbDown, int nbUp, int nbWeights, int nbWeightsForInit, int nbKnots)

Constructor for the LayerDimlp class.

Initializes the layer with the specified parameters and sets up the staircase activation function.

Parameters:

• eta – Learning rate.

• mu – Momentum factor.

• flat – Flatness factor.

• nbDown – Number of neurons in the previous layer.

• nbUp – Number of neurons in this layer.

• nbWeights – Number of weights in this layer.

• nbWeightsForInit – Number of weights for initialization.

• nbKnots – Number of knots for the StairObj.