Python show_output_dynamic Exemples

Exemple #1

Fichier : ut_cnn.py Projet : sergeischkolnik/BullEstate

    def testChaoticNeuralNetwork3DVisualization(self):
        stimulus = read_sample(SIMPLE_SAMPLES.SAMPLE_SIMPLE11)
        network_instance = cnn_network(len(stimulus))

        output_dynamic = network_instance.simulate(10, stimulus)

        network_instance.show_network()

        cnn_visualizer.show_dynamic_matrix(output_dynamic)
        cnn_visualizer.show_observation_matrix(output_dynamic)
        cnn_visualizer.show_output_dynamic(output_dynamic)

Exemple #2

Fichier : ut_cnn.py Projet : annoviko/pyclustering

 def testChaoticNeuralNetwork3DVisualization(self):
     stimulus = read_sample(SIMPLE_SAMPLES.SAMPLE_SIMPLE11);
     network_instance = cnn_network(len(stimulus));
     
     output_dynamic = network_instance.simulate(10, stimulus);
     
     network_instance.show_network();
     
     cnn_visualizer.show_dynamic_matrix(output_dynamic);
     cnn_visualizer.show_observation_matrix(output_dynamic);
     cnn_visualizer.show_output_dynamic(output_dynamic);

Exemple #3

Fichier : cnn_examples.py Projet : annoviko/pyclustering

def template_dynamic_cnn(num_osc, steps, stimulus, neighbors, connection, show_network = False):
    network_instance = cnn_network(num_osc, connection, amount_neighbors = neighbors);
    
    output_dynamic = network_instance.simulate(steps, stimulus);
    print(output_dynamic.allocate_sync_ensembles(10));
    
    if (show_network is True):
        network_instance.show_network();
    
    cnn_visualizer.show_output_dynamic(output_dynamic);
    cnn_visualizer.show_dynamic_matrix(output_dynamic);
    cnn_visualizer.show_observation_matrix(output_dynamic);

Exemple #4

def template_dynamic_cnn(num_osc, steps, stimulus, neighbors, connection, show_network = False):
    network_instance = cnn_network(num_osc, connection, amount_neighbors = neighbors);
    
    output_dynamic = network_instance.simulate(steps, stimulus);
    print(output_dynamic.allocate_sync_ensembles(10));
    
    if (show_network is True):
        network_instance.show_network();
    
    cnn_visualizer.show_output_dynamic(output_dynamic);
    cnn_visualizer.show_dynamic_matrix(output_dynamic);
    cnn_visualizer.show_observation_matrix(output_dynamic);