class LayerNet |
Class implementing a layer of a neural net - HTML documentation under construction.
![]() | LayerNet () |
![]() | LayerNet (unsigned num_outputs, unsigned num_inputs, act_func f=sigmoid) |
![]() | ~LayerNet () |
![]() | compute (vect& vinput) |
![]() | print_weights () |
![]() | print_out () |
![]() | print_dim () const |
![]() | Read_ninputs () const |
![]() | Read_noutputs () const |
![]() | Read_bias () |
![]() | Read_out () |
![]() | Read_a () |
![]() | Read_W () |
![]() | Read_g () |
![]() | Read_dg () |
![]() | Print_info () |
![]() | init_weights (double x) |
![]() | init_norm_weights (long seed = 0) |
![]() | load_weights (istream& f) |
![]() | WEIGHT_PRECISION |
![]() | n_inputs |
![]() | n_outputs |
![]() | W |
![]() | bias |
![]() | out |
![]() | a |
![]() | g |
![]() | dg |
![]() | do_deriv (act_func f) |
The class implements a layer of a neural net.
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