Class implementing a layer of a neural net - HTML documentation under construction.

Inheritance:

Public Methods

	LayerNetTrain ()
	LayerNetTrain (unsigned num_outputs, unsigned num_inputs, act_func f=sigmoid)
	~LayerNetTrain ()
matrix&	calc_grad (vect& t, vect& vinput)
matrix&	backprop (vect& delta_up, matrix& W_up, vect& vinput)
inline vect&	Read_delta ()
inline matrix&	Read_grad ()
inline matrix&	Read_DeltaW ()
inline vect&	Read_grad_bias ()
inline vect&	Read_Delta_bias ()
void	print_delta (void)
void	print_grad (void)
void	print_DeltaW (void)
void	print_grad_bias (void)
void	print_Delta_bias (void)
void	print_info (void)
void	save_weights (ostream& f)

Protected Fields

vect	delta
matrix	grad
matrix	DeltaW
vect	grad_bias
vect	Delta_bias

Protected Methods

vect&	calc_output_delta (vect& t)
vect&	calc_hidden_delta (vect& delta_up, matrix& W_up)

Inherited from LayerNet:

Public Methods

vect& compute(vect& vinput)

void print_weights()

void print_out()

void print_dim() const

inline unsigned Read_ninputs() const

inline unsigned Read_noutputs() const

inline vect& Read_bias()

inline vect& Read_out()

inline vect& Read_a()

inline matrix& Read_W()

inline act_func Read_g()

inline act_func Read_dg()

void Print_info()

void init_weights(double x)

void init_norm_weights(long seed = 0)

void load_weights(istream& f)

Protected Fields

static const unsigned WEIGHT_PRECISION

unsigned n_inputs

unsigned n_outputs

matrix W

vect bias

vect out

vect a

act_func g

act_func dg

Protected Methods

act_func do_deriv(act_func f)

Documentation

Class implementing a layer of a neural net with learning for backpropagation learning.

LayerNetTrain()

LayerNetTrain(unsigned num_outputs, unsigned num_inputs, act_func f=sigmoid)

~LayerNetTrain()

matrix& calc_grad(vect& t, vect& vinput)

matrix& backprop(vect& delta_up, matrix& W_up, vect& vinput)

inline vect& Read_delta()

inline matrix& Read_grad()

inline matrix& Read_DeltaW()

inline vect& Read_grad_bias()

inline vect& Read_Delta_bias()

void print_delta(void)

void print_grad(void)

void print_DeltaW(void)

void print_grad_bias(void)

void print_Delta_bias(void)

void print_info(void)

void save_weights(ostream& f)

vect delta

matrix grad

matrix DeltaW

vect grad_bias

vect Delta_bias

vect& calc_output_delta(vect& t)

vect& calc_hidden_delta(vect& delta_up, matrix& W_up)

This class has no child classes.

Friends:

class Learning
class GradientDescent
class MomentumDescent

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