Package zdenekdrahos.AI.Training

Examples of zdenekdrahos.AI.Training.TrainingInput

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        Activations[] activations = {Activations.LIN, Activations.SIG, Activations.LIN};

        INetworkBuilder networkBuilder = new NetworkBuilder();
        INeuralNetwork network = networkBuilder.build(topology, activations);

        TrainingInput in = new TrainingInput();
        in.iterationsCount = 2000;
        in.learningRate = 0.1;
        in.momentum = 0;
        in.inputs = input;
        in.targets = output;
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        int[] topology = {2, 3, 1};
        Activations[] activations = {Activations.LIN, Activations.TANH, Activations.LIN};       
        INeuralNetwork network = builder.build(topology, activations);
        Printing.printNetworkWeights(network);
       
        TrainingInput in = new TrainingInput();
        in.iterationsCount = 3000;
        in.learningRate = 0.8;
        in.momentum = 0.798;
        in.inputs = input;
        in.targets = output;
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Related Classes of zdenekdrahos.AI.Training.TrainingInput

  • zdenekdrahos.Testing.MainTrainingData
  • zdenekdrahos.Testing.MainTrainingXOR
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