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% ^_^
