API for DominikRafacz/MIOwAD
What the Package Does (One Line, Title Case)
| Global functions | |
|---|---|
| `+.nn_proto` | Source code |
| accuracy | Source code |
| build | Source code |
| calc_gradients | Source code |
| calc_gradients_dropout | Source code |
| calc_gradients_wo_dropout | Source code |
| crossentropy | Source code |
| crossentropy_deriv | Source code |
| epoch_finisher | Source code |
| feed_network | Source code |
| gauss | Source code |
| generate_net_plot_data | Source code |
| hex_metric | Source code |
| hidden_layer | Source code |
| hyperbolic_tan | Source code |
| hyperbolic_tan_deriv | Source code |
| kohonen_network | Source code |
| linear | Source code |
| linear_deriv | Source code |
| match_deriv_to_name | Source code |
| match_fun_to_name | Source code |
| mexican_hat | Source code |
| mse | Source code |
| mse_deriv | Source code |
| neural_network | Source code |
| output_layer | Source code |
| plot_kohonen | Source code |
| plot_kohonen_w_pca | Source code |
| plot_weigths | Source code |
| randomize_weights | Source code |
| randomize_weights_rnorm | Source code |
| randomize_weights_runif | Source code |
| randomize_weights_xavier | Source code |
| relu | Source code |
| relu_deriv | Source code |
| scale_color_legendary | Source code |
| scale_fill_legendary | Source code |
| select_max | Source code |
| sigmoid | Source code |
| sigmoid_deriv | Source code |
| softmax | Source code |
| softmax_deriv | Source code |
| split_data | Source code |
| square_metric | Source code |
| train_network_momentum | Source code |
| train_network_rmsprop | Source code |
| train_network_sgd | Source code |
| training_setuper | Source code |
