Multi-layer Perception NeuralNetwork

多层感知器神经网络

使用Java类构建 Multi-layer Perception NeuralNetwork

X = MnistRead.getImagesBinarization(MnistRead.TRAIN_IMAGES_FILE);
Y = MnistRead.getLabels(MnistRead.TRAIN_LABELS_FILE);

NeuralLayer neuralLayer = new NeuralLayer()
    .createNeuralLayer(784, ActivationType.Sigmoid)
    .createNeuralLayer(800, ActivationType.Sigmoid)
    .createNeuralLayer(10, ActivationType.Sigmoid);

NeuralNetwork neuralNetwork = new NeuralNetwork(neuralLayer.getLayerList());
neuralNetwork.setDataSet(X, Y)
    .setLearningRate(0.082)
    .setLossType(LossType.LeastSquaresMethod)
    .setDesireTheCorrectRate(0.72)
    .train();

创建感知器网络层和感知器网络， 设置数据集和学习率以及误差函数和期望的准确率， train就开始训练了。

训练准确率为74.7% ^_^