Examples of sensitivityMatrixFromErrorMatrix()

Examples of aima.core.learning.neural.LayerSensitivity.sensitivityMatrixFromErrorMatrix()

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    layer2.feedForward(inputVector2);

    Vector errorVector = new Vector(1);
    errorVector.setValue(0, 1.261);
    LayerSensitivity layer2Sensitivity = new LayerSensitivity(layer2);
    layer2Sensitivity.sensitivityMatrixFromErrorMatrix(errorVector);

    Matrix sensitivityMatrix = layer2Sensitivity.getSensitivityMatrix();
    Assert.assertEquals(-2.522, sensitivityMatrix.get(0, 0), 0.0001);
  }
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Examples of aima.core.learning.neural.LayerSensitivity.sensitivityMatrixFromErrorMatrix()

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    layer2.feedForward(inputVector2);

    Vector errorVector = new Vector(1);
    errorVector.setValue(0, 1.261);
    LayerSensitivity layer2Sensitivity = new LayerSensitivity(layer2);
    layer2Sensitivity.sensitivityMatrixFromErrorMatrix(errorVector);

    layer1Sensitivity
        .sensitivityMatrixFromSucceedingLayer(layer2Sensitivity);
    Matrix sensitivityMatrix = layer1Sensitivity.getSensitivityMatrix();
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Examples of aima.core.learning.neural.LayerSensitivity.sensitivityMatrixFromErrorMatrix()

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    layer2.feedForward(inputVector2);

    Vector errorVector = new Vector(1);
    errorVector.setValue(0, 1.261);
    LayerSensitivity layer2Sensitivity = new LayerSensitivity(layer2);
    layer2Sensitivity.sensitivityMatrixFromErrorMatrix(errorVector);

    layer1Sensitivity
        .sensitivityMatrixFromSucceedingLayer(layer2Sensitivity);

    Matrix weightUpdateMatrix2 = BackPropLearning.calculateWeightUpdates(
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Examples of aima.core.learning.neural.LayerSensitivity.sensitivityMatrixFromErrorMatrix()

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    Vector inputVector2 = layer1.getLastActivationValues();
    layer2.feedForward(inputVector2);

    Vector errorVector = new Vector(1);
    errorVector.setValue(0, 1.261);
    layer2Sensitivity.sensitivityMatrixFromErrorMatrix(errorVector);

    layer1Sensitivity
        .sensitivityMatrixFromSucceedingLayer(layer2Sensitivity);

    Vector biasUpdateVector2 = BackPropLearning.calculateBiasUpdates(
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Examples of aima.core.learning.neural.LayerSensitivity.sensitivityMatrixFromErrorMatrix()

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    layer2.feedForward(inputVector2);

    Vector errorVector = new Vector(1);
    errorVector.setValue(0, 1.261);
    LayerSensitivity layer2Sensitivity = new LayerSensitivity(layer2);
    layer2Sensitivity.sensitivityMatrixFromErrorMatrix(errorVector);

    layer1Sensitivity
        .sensitivityMatrixFromSucceedingLayer(layer2Sensitivity);

    BackPropLearning.calculateWeightUpdates(layer2Sensitivity,
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