class TwoLayer |
MLP with one hidden layer - HTML documentation under construction.
![]() | TwoLayer () |
![]() | TwoLayer (unsigned nout, unsigned nhidden, unsigned nin, act_func fout=sigmoid, act_func fhid1=sigmoid) |
![]() | ~TwoLayer () |
![]() | Nhidden1 () const |
![]() | init_weights_norm (int seed = 0) |
![]() | init_weights_const (double x) |
![]() | print_weights (void) |
![]() | compute (vect& vinput) |
![]() | backprop (vect& t, vect& x) |
![]() | print_info_grad (void) |
![]() | save_weights (char* namefile) |
![]() | n_hidden1 |
![]() | save_weights_heading (char* namefile) It saves onto a file the general paramenters of the net It saves the number of layers, size of the layers and type of the activation function |
![]() | save_weights_heading (ofstream& f, char* namebuf) It saves in a stream the general paramenters of the net It saves the number of layers, size of the layers and type of the activation function |
![]() | save_weights_body (char* namefile) It appends onto a file the weights of the net. |
![]() | save_weights_body (ofstream& f) It appends to a stream the weights of the net. |
Two-Layer Perceptron
It Implemets a Two-Layer Perceptron for classification with learning capabilities
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