Package com.neuralnetwork.shared.layers

Examples of com.neuralnetwork.shared.layers.InputLayer

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        this.numInputs = numIn;
        this.numOutputs = numOut;
        this.numHidden = numHide;
        this.height = numHide + 2;
        this.layerSizes = sizes;
        this.inputLayer = new InputLayer(numInputs);
        this.outputLayer = new OutputLayer(numOutputs);
        this.layers = new Stack<IHiddenLayer>();
        this.nnctx = new NeuralNetContext(this);
    }
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     *      the number of outputs from the network
     */
    public Network(final int numIn, final int numOut) {
        this.numInputs = numIn;
        this.numOutputs = numOut;
        this.inputLayer = new InputLayer(numInputs);
        this.outputLayer = new OutputLayer(numOutputs);
        this.layers = new Stack<IHiddenLayer>();
        this.nnctx = new NeuralNetContext(this);
    }
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   */
  @Test
    public final void testSetInputLayer() {
    INetwork n = new Network(FIVE, FIVE, THREE,
        new int[] {FOUR, TWO, FOUR});
    n.setInputLayer(new InputLayer(THREE * TWO));
    n.build();
    assertEquals(LayerType.INPUT, n.getInputLayer().getLayerType());
    assertEquals(THREE * TWO, n.getInputLayer().getSize());
  }
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   * #create(com.neuralnetwork.shared.layers.ILayer,
   * com.neuralnetwork.shared.layers.ILayer)}.
   */
  @Test(timeout = TIMEOUT)
  public final void testCreate() {
    IInputLayer l1 = new InputLayer(LAYER_SIZE);
    l1.build();
    IOutputLayer l2 = new OutputLayer(LAYER_SIZE);
    l2.build();
    Connections.getInstance().create(l1, l2);
   
    Iterator<IInputNeuron> iter1 = l1.iterator();
        INeuron tmp = null;
        while (iter1.hasNext()) {
            tmp = iter1.next();
            Iterator<IOutputNeuron> iter2 = l2.iterator();
            for (ILink l : tmp.getOutputLinks()) {
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     * Test method for {@link com.neuralnetwork
     * .shared.layers.InputLayer#InputLayer(int)}.
     */
    @Test
    public final void testInputLayer() {
        IInputLayer l = new InputLayer(1);
        assertNotNull(l);
        assertEquals(l.getLayerType(), LayerType.INPUT);
    }
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     * Test method for {@link com.neuralnetwork
     * .shared.layers.InputLayer#build()}.
     */
    @Test
    public final void testBuild() {
        IInputLayer l = new InputLayer(1);
        ((IInputLayer) l).build();
        int size = l.getSize();
        assertEquals(size, 1);
    }
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     * .shared.layers.InputLayer#addValue(
     * com.neuralnetwork.shared.values.IValue, int)}.
     */
    @Test
    public final void testAddValue() {
        IInputLayer l = new InputLayer(1);
        l.build();
        l.addValue(new OneValue(), 0);
        assertEquals(l.getNeuron(0).getValue(), new OneValue());
    }
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        values.add(NN_INPUT_VALUE);
        values.add(NN_INPUT_VALUE);
        values.add(NN_INPUT_VALUE);
        values.add(NN_INPUT_VALUE);
       
        IInputLayer l = new InputLayer(Constants.FIVE);
        l.addValues(values);
        n.setInputLayer(l);
        INeuralNetContext nnctx = new NeuralNetContext(n);
        l.propagate(nnctx);
    }   
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Related Classes of com.neuralnetwork.shared.layers.InputLayer

  • com.neuralnetwork.shared.network.Network
  • com.neuralnetwork.shared.neurons.BiasNeuron
  • com.neuralnetwork.shared.neurons.InputNeuron
  • com.neuralnetwork.shared.tests.layers.InputLayerTest
  • com.neuralnetwork.shared.tests.network.NetworkTest
  • com.neuralnetwork.shared.tests.util.ConnectionsTest
  • com.neuralnetwork.shared.values.DoubleValue
  • com.neuralnetwork.shared.values.ErrorValue
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