Package tv.floe.metronome.classification.neuralnetworks.networks

Examples of tv.floe.metronome.classification.neuralnetworks.networks.MultiLayerPerceptronNetwork.train()

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    for ( int x = 0; x < 40000; x++ ) {
     
     
         

      mlp_network.train(v0_out, v0);
      mlp_network.train(v1_out, v1);
      mlp_network.train(v2_out, v2);
      mlp_network.train(v3_out, v3);

     
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      mlp_network.train(v0_out, v0);
      mlp_network.train(v1_out, v1);
      mlp_network.train(v2_out, v2);
      mlp_network.train(v3_out, v3);

     
      int total_records = 0;
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      mlp_network.train(v0_out, v0);
      mlp_network.train(v1_out, v1);
      mlp_network.train(v2_out, v2);
      mlp_network.train(v3_out, v3);

     
      int total_records = 0;
      int number_correct = 0;
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      mlp_network.train(v0_out, v0);
      mlp_network.train(v1_out, v1);
      mlp_network.train(v2_out, v2);
      mlp_network.train(v3_out, v3);

     
      int total_records = 0;
      int number_correct = 0;
         
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