class LayerNetTrain |
Class implementing a layer of a neural net - HTML documentation under construction.
![]() | LayerNetTrain () |
![]() | LayerNetTrain (unsigned num_outputs, unsigned num_inputs, act_func f=sigmoid) |
![]() | ~LayerNetTrain () |
![]() | calc_grad (vect& t, vect& vinput) |
![]() | backprop (vect& delta_up, matrix& W_up, vect& vinput) |
![]() | Read_delta () |
![]() | Read_grad () |
![]() | Read_DeltaW () |
![]() | Read_grad_bias () |
![]() | Read_Delta_bias () |
![]() | print_delta (void) |
![]() | print_grad (void) |
![]() | print_DeltaW (void) |
![]() | print_grad_bias (void) |
![]() | print_Delta_bias (void) |
![]() | print_info (void) |
![]() | save_weights (ostream& f) |
![]() | delta |
![]() | grad |
![]() | DeltaW |
![]() | grad_bias |
![]() | Delta_bias |
![]() | calc_output_delta (vect& t) |
![]() | calc_hidden_delta (vect& delta_up, matrix& W_up) |
Class implementing a layer of a neural net with learning for backpropagation learning.
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