| /dports/misc/opennn/opennn-5.0.5/tests/ |
| H A D | normalized_squared_error_test.cpp | 106 Index outputs_number; in test_calculate_error() local
107 outputs_number = 1; in test_calculate_error()
179 Index outputs_number; in test_calculate_error_gradient() local
197 outputs_number = 1; in test_calculate_error_gradient()
242 outputs_number = 3; in test_calculate_error_gradient()
285 probabilistic_layer->set(outputs_number, outputs_number); in test_calculate_error_gradient()
536 Index outputs_number; in test_calculate_error_terms() local
543 outputs_number = 7; in test_calculate_error_terms()
560 architecture[2] = outputs_number; in test_calculate_error_terms()
597 Index outputs_number; in test_calculate_error_terms_Jacobian() local
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| H A D | sum_squared_error_test.cpp | 313 Index outputs_number = 2; in test_calculate_output_gradient() local
315 data.resize(samples_number,inputs_number+outputs_number); in test_calculate_output_gradient()
319 data_set.set(samples_number, inputs_number, outputs_number); in test_calculate_output_gradient()
461 Index outputs_number; in test_calculate_error_gradient() local
470 outputs_number = 4; in test_calculate_error_gradient()
472 data_set.set(samples_number, inputs_number, outputs_number); in test_calculate_error_gradient()
508 outputs_number = 3; in test_calculate_error_gradient()
510 data_set.set(samples_number, inputs_number, outputs_number); in test_calculate_error_gradient()
547 outputs_number = 4; in test_calculate_error_gradient()
574 outputs_number = 1; in test_calculate_error_gradient()
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| H A D | mean_squared_error_test.cpp | 145 Index outputs_number; in test_calculate_error_gradient() local
159 outputs_number = 1; in test_calculate_error_gradient()
161 data_set.set(samples_number, inputs_number, outputs_number); in test_calculate_error_gradient()
173 hidden_perceptron_layer->set(inputs_number, outputs_number); in test_calculate_error_gradient()
201 outputs_number = 3; in test_calculate_error_gradient()
206 data_set_2.set(samples_number, inputs_number, outputs_number); in test_calculate_error_gradient()
221 architecture[2] = outputs_number; in test_calculate_error_gradient()
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| H A D | weighted_squared_error_test.cpp | 66 Index outputs_number; in test_calculate_error() local
67 outputs_number = 1; in test_calculate_error()
149 Index outputs_number; in test_calculate_error_gradient() local
179 Index outputs_number; in test_calculate_error_gradient() local
180 outputs_number = 1; in test_calculate_error_gradient()
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| H A D | minkowski_error_test.cpp | 165 Index outputs_number; in test_calculate_error_gradient() local
185 outputs_number = 10; in test_calculate_error_gradient()
187 data_set.set(samples_number, inputs_number, outputs_number); in test_calculate_error_gradient()
203 probabilistic_layer->set(hidden_neurons, outputs_number); in test_calculate_error_gradient()
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| H A D | cross_entropy_error_test.cpp | 150 Index outputs_number; in test_calculate_error_gradient() local
165 outputs_number = 1; in test_calculate_error_gradient()
168 data_set.set(samples_number, inputs_number, outputs_number); in test_calculate_error_gradient()
191 architecture.setValues({inputs_number, hidden_neurons, outputs_number}); in test_calculate_error_gradient()
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| H A D | neural_network_test.cpp | 1220 Index outputs_number; in test_calculate_outputs() local
1328 outputs_number = neural_network.get_outputs_number(); in test_calculate_outputs()
1340 assert_true(outputs.size() == outputs_number, LOG); in test_calculate_outputs()
1425 outputs_number = neural_network.get_outputs_number(); in test_calculate_outputs()
1438 assert_true(outputs.dimension(1) == outputs_number, LOG); in test_calculate_outputs()
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| /dports/misc/opennn/opennn-5.0.5/opennn/ |
| H A D | testing_analysis.cpp | 239 for(Index i = 0; i < outputs_number; i++) in linear_regression()
320 for(Index i = 0; i < outputs_number; i++) in perform_linear_regression_analysis()
418 for(Index i = 0; i < outputs_number; i++) in calculate_error_data()
592 for(Index i = 0; i < outputs_number; i++) in calculate_error_data_descriptives()
644 for(Index i = 0; i < outputs_number; i++) in calculate_error_data_histograms()
667 for(Index i = 0; i < outputs_number; i++) in calculate_maximal_errors()
1327 Tensor<type, 1> targets_row(outputs_number); in calculate_cross_entropy_error()
1328 Tensor<type, 1> outputs_row(outputs_number); in calculate_cross_entropy_error()
1375 if(outputs_number != 1) in calculate_weighted_squared_error()
1636 if(outputs_number == 1) in calculate_confusion()
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| H A D | cross_entropy_error.cpp | 51 const Index outputs_number = neural_network_pointer->get_outputs_number(); in calculate_error() local
53 if(outputs_number == 1) in calculate_error()
110 const Index outputs_number = neural_network_pointer->get_outputs_number(); in calculate_output_gradient() local
112 if(outputs_number == 1) in calculate_output_gradient()
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| H A D | neural_network.cpp | 643 const Index outputs_number = architecture[size-1]; in set() local
706 outputs_names.resize(outputs_number); in set()
724 const Index& outputs_number) in set() argument
1763 const Index outputs_number = outputs_names.size(); in write_XML() local
1768 buffer << outputs_number; in write_XML()
1776 for(Index i = 0; i < outputs_number; i++) in write_XML()
2708 const Index outputs_number = get_outputs_number(); in save_outputs() local
2711 for(Index i = 0; i < outputs_number; i++) in save_outputs()
2722 for(Index j = 0; j < outputs_number; j++) in save_outputs()
2726 if(j != outputs_number-1) file << ";"; in save_outputs()
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| H A D | neurons_selection.cpp | 183 Index outputs_number; in set_default() local
189 outputs_number = 0; in set_default()
194 … outputs_number = training_strategy_pointer->get_neural_network_pointer()->get_outputs_number(); in set_default()
202 maximum_neurons = 2*(inputs_number + outputs_number); in set_default()
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| H A D | response_optimization.cpp | 27 const Index outputs_number = neural_network_pointer->get_outputs_number(); in ResponseOptimization() local
474 const Index outputs_number = neural_network_pointer->get_outputs_number(); in calculate_envelope() local
503 const Index outputs_number = neural_network_pointer->get_outputs_number(); in perform_optimization() local
521 for(Index j = 0; j < outputs_number; j++) in perform_optimization()
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| H A D | response_optimization.h | 76 const Index outputs_number = neural_network_pointer->get_outputs_number(); in print() local
86 for(Index i = 0; i < outputs_number; i++) in print()
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| H A D | loss_index.h | 100 const Index outputs_number = neural_network_pointer->get_outputs_number(); in set() local
110 output_gradient.resize(batch_samples_number, outputs_number); in set()
112 errors.resize(batch_samples_number, outputs_number); in set()
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| H A D | probabilistic_layer.cpp | 772 const Index outputs_number = get_neurons_number(); in calculate_outputs() local
774 Tensor<type, 2> outputs(batch_size, outputs_number); in calculate_outputs()
846 …const Index outputs_number = output_gradient.dimension(1); // outputs_number = neurons_number and … in calculate_output_delta() local
848 if(outputs_number != neurons_number) in calculate_output_delta()
854 …<< "Number of columns in output gradient (" << outputs_number << ") must be equal to number of neu… in calculate_output_delta()
865 …<< "Dimension 1 of activations derivatives 3d (" << outputs_number << ") must be equal to number o… in calculate_output_delta()
876 …<< "Dimension 2 of activations derivatives 3d (" << outputs_number << ") must be equal to number o… in calculate_output_delta()
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| H A D | loss_index.cpp | 335 …const Index outputs_number = trainable_layers_pointers[trainable_layers_number-1]->get_neurons_num… in check() local
350 if(outputs_number != targets_number) in check()
354 << "Number of outputs in neural network (" << outputs_number in check()
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| H A D | perceptron_layer.cpp | 704 const Index outputs_number = get_neurons_number(); in calculate_outputs() local
706 Tensor<type, 2> outputs(batch_size, outputs_number); in calculate_outputs()
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| H A D | data_set.cpp | 9616 …lassification(const Index& samples_number, const Index& inputs_number, const Index& outputs_number) in generate_data_multiple_classification() argument
9622 Tensor<type, 2> targets(samples_number, outputs_number); in generate_data_multiple_classification()
9628 target_index = static_cast<unsigned>(rand())%outputs_number; in generate_data_multiple_classification()
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| /dports/misc/opennn/opennn-5.0.5/examples/rosenbrock/ |
| H A D | main.cpp | 53 const Index outputs_number = data_set.get_target_variables_number(); in main() local
57 architecture.setValues({inputs_number, hidden_neurons_number, outputs_number}); in main()
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