| /dports/math/fann/FANN-2.2.0-Source/examples/ |
| H A D | steepness_train.c | 24 unsigned int max_epochs, unsigned int epochs_between_reports, in train_on_steepness_file() argument
35 printf("Max epochs %8d. Desired error: %.10f\n", max_epochs, desired_error); in train_on_steepness_file()
40 for(i = 1; i <= max_epochs; i++) in train_on_steepness_file()
47 (i % epochs_between_reports == 0 || i == max_epochs || i == 1 || error < desired_error)) in train_on_steepness_file()
77 const unsigned int max_epochs = 500000; in main() local
94 train_on_steepness_file(ann, "xor.data", max_epochs, in main()
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| H A D | xor_train.c | 25 unsigned int max_epochs, unsigned int epochs_between_reports, in test_callback() argument
40 const unsigned int max_epochs = 1000; in main() local
67 fann_train_on_data(ann, data, max_epochs, epochs_between_reports, desired_error); in main()
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| H A D | simple_train.c | 29 const unsigned int max_epochs = 500000; in main() local
37 fann_train_on_file(ann, "xor.data", max_epochs, epochs_between_reports, desired_error); in main()
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| H A D | scaling_train.c | 10 const unsigned int max_epochs = 5000; in main() local
28 fann_train_on_data(ann, data, max_epochs, epochs_between_reports, desired_error); in main()
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| H A D | mushroom.c | 29 const unsigned int max_epochs = 300; in main() local
50 fann_train_on_data(ann, train_data, max_epochs, epochs_between_reports, desired_error); in main()
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| /dports/devel/taskflow/taskflow-3.2.0/benchmarks/mnist/ |
| H A D | main.cpp | 46 const unsigned max_epochs, in mnist() argument
55 for(unsigned epochs=min_epochs; epochs <= max_epochs; epochs += 10) { in mnist()
88 unsigned max_epochs {100}; in main() local
89 app.add_option("-E,--max_epochs", max_epochs, "max number of epochs (default=100)"); in main()
112 << "max_epochs=" << max_epochs << ' ' in main()
115 mnist(model, min_epochs, max_epochs, num_threads, num_rounds); in main()
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| /dports/science/afni/afni-AFNI_21.3.16/src/pkundu/meica.libs/mdp/nodes/ |
| H A D | neural_gas_nodes.py | 280 max_epochs=100, argument
335 n_epochs_to_train = max_epochs
346 self.max_epochs = max_epochs
380 max_epochs = float(self.max_epochs)
385 if epoch < max_epochs:
386 denom = epoch/max_epochs
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| /dports/science/py-mdp/MDP-3.5/mdp/nodes/ |
| H A D | neural_gas_nodes.py | 285 max_epochs=100, argument
340 n_epochs_to_train = max_epochs
351 self.max_epochs = max_epochs
385 max_epochs = float(self.max_epochs)
390 if epoch < max_epochs:
391 denom = old_div(epoch,max_epochs)
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| /dports/math/fann/FANN-2.2.0-Source/src/ |
| H A D | fann_cascade.c | 149 unsigned int max_epochs = ann->cascade_max_out_epochs; in fann_train_outputs() local
151 unsigned int stagnation = max_epochs; in fann_train_outputs()
162 for(i = 1; i < max_epochs; i++) in fann_train_outputs()
201 return max_epochs; in fann_train_outputs()
498 unsigned int max_epochs = ann->cascade_max_cand_epochs; in fann_train_candidates() local
500 unsigned int stagnation = max_epochs; in fann_train_candidates()
513 for(i = 0; i < max_epochs; i++) in fann_train_candidates()
551 printf("Max epochs %d reached, best candidate score %f, real score: %f\n", max_epochs, in fann_train_candidates()
554 return max_epochs; in fann_train_candidates()
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| /dports/science/afni/afni-AFNI_21.3.16/src/pkundu/meica.libs/mdp/test/ |
| H A D | test_NeuralGasNode.py | 20 max_epochs=10)
54 ng = mdp.nodes.NeuralGasNode(start_poss=start_poss, max_epochs=4)
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| /dports/science/py-mdp/MDP-3.5/mdp/test/ |
| H A D | test_NeuralGasNode.py | 23 max_epochs=10)
57 ng = mdp.nodes.NeuralGasNode(start_poss=start_poss, max_epochs=4)
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| /dports/math/fann/FANN-2.2.0-Source/src/include/ |
| H A D | fann_cpp.h | 352 unsigned int max_epochs, unsigned int epochs_between_reports,
1352 void train_on_data(const training_data &data, unsigned int max_epochs, in train_on_data() argument
1357 fann_train_on_data(ann, data.train_data, max_epochs, in train_on_data()
1371 void train_on_file(const std::string &filename, unsigned int max_epochs, in train_on_file() argument
1377 max_epochs, epochs_between_reports, desired_error); in train_on_file()
3673 …unsigned int max_epochs, unsigned int epochs_between_reports, float desired_error, unsigned int ep… in internal_callback() argument
3682 data, max_epochs, epochs_between_reports, desired_error, epochs, user_data); in internal_callback()
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| /dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/model_zoo/resnet/ |
| H A D | solver_896_bf16.prototxt | 1 max_epochs: 90
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| H A D | solver_864.prototxt | 1 max_epochs: 90
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| H A D | solver_864_bf16.prototxt | 1 max_epochs: 90
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| H A D | dummy_solver_864.prototxt | 1 max_epochs: 1
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| H A D | dummy_solver_864_bf16.prototxt | 1 max_epochs: 1
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| H A D | solver_896.prototxt | 1 max_epochs: 90
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| /dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/include/ |
| H A D | Solver.hpp | 153 assert(p->max_epochs() >= 1); in parseSolverParams()
154 sp->setEpochs(p->max_epochs()); in parseSolverParams()
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| /dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/model_zoo/cifar10/ |
| H A D | solver.prototxt | 12 max_epochs: 20
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| /dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/model_zoo/googlenet/v1/ |
| H A D | solver_1024.prototxt | 12 max_epochs: 79
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| H A D | solver_256.prototxt | 12 max_epochs: 79
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| /dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/model_zoo/convnet/ |
| H A D | solver_formula.prototxt | 12 max_epochs: 60
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| H A D | solver.prototxt | 12 max_epochs: 1
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| /dports/math/libxsmm/libxsmm-1.16.3/samples/deeplearning/gxm/model_zoo/mnist/ |
| H A D | lenet_solver.prototxt | 12 max_epochs: 15
|