Virtual base class for learning - HTML documentaiton under construction.

Inheritance:

Public Methods

virtual void	Update_delta_weights (unsigned n_layers, LayerNetTrain layer[])
virtual void	Update_weigths (unsigned n_layers, LayerNetTrain layer[])
virtual void	Update_param (double err, unsigned iter)
void	Init_rate (double val=DEFAULT_ETA)
double	Read_rate (void)

Protected Fields

static const double	DEFAULT_ETA
static const double	DEFAULT_DECR_FACTOR
static const double	MIN_ETA default decrement rate factor
static const double	DEFAULT_DECR_LIN_FACTOR default starting rate
static const double	DEFAULT_ALPHA default decrement linear rate factor
static const double	DEFAULT_ETA_INCR default momentum coefficient
static const double	DEFAULT_ETA_DECR default learning rate increment factor (bold)
double	eta default learning rate decrement factor (bold)

Documentation

Basic abstract learning class

static const double DEFAULT_ETA

static const double DEFAULT_DECR_FACTOR

static const double MIN_ETA

default decrement rate factor

static const double DEFAULT_DECR_LIN_FACTOR

default starting rate

static const double DEFAULT_ALPHA

default decrement linear rate factor

static const double DEFAULT_ETA_INCR

default momentum coefficient

static const double DEFAULT_ETA_DECR

default learning rate increment factor (bold)

double eta

default learning rate decrement factor (bold)

virtual void Update_delta_weights(unsigned n_layers, LayerNetTrain layer[]) = 0

virtual void Update_weigths(unsigned n_layers, LayerNetTrain layer[]) = 0

virtual void Update_param(double err, unsigned iter) = 0

void Init_rate(double val=DEFAULT_ETA)

double Read_rate(void)

Direct child classes:

GradientDescent

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