Package zdenekdrahos.AI.NeuralNetwork.Builder

Examples of zdenekdrahos.AI.NeuralNetwork.Builder.NetworkBuilder

25
26
27
28
29
30
31
32
33
34
            {0.1, 0.01, 0.15, 0.21, -0.50}
        }
    };

    public static INeuralNetwork getNetwork() {
        INetworkBuilder builder = new NetworkBuilder();
        INeuralNetwork network = builder.build(topology, activations);
        network.setWeights(weights);
        return network;
    }
View Full Code Here
40
41
42
43
44
45
46
47
48
49
50
51
        }

        int[] topology = {1, 2, 1};
        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;
View Full Code Here
31
32
33
34
35
36
37
    private INetworkBuilder networkBuilder;

    public BackPropagationController() {
        ITrainingBuilder trainBuilder = new TrainingBuilder();
        train = trainBuilder.build();
        networkBuilder = new NetworkBuilder();
    }
View Full Code Here
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
    static double[][] output = {
        {0}, {1}, {1}, {0},
    };
   
    public static void main(String[] args) {
        INetworkBuilder builder = new NetworkBuilder();
       
        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;
View Full Code Here
TOP

Related Classes of zdenekdrahos.AI.NeuralNetwork.Builder.NetworkBuilder

  • zdenekdrahos.AI.ActivationFunctions.ActivationFactory
  • zdenekdrahos.AI.NetworkTestUtil
  • zdenekdrahos.AI.NeuralNetwork.INeuralNetwork
  • zdenekdrahos.AI.NeuralNetwork.Layers.ILayer
  • zdenekdrahos.AI.NeuralNetwork.Layers.Layer
  • zdenekdrahos.AI.NeuralNetwork.NeuralNetwork
  • zdenekdrahos.App.Controller.BackPropagationController
  • zdenekdrahos.Testing.MainTrainingData
  • zdenekdrahos.Testing.MainTrainingXOR
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.