用Java写一段卷积神经网络代码

好的，下面是用 Java 实现卷积神经网络的代码示例：

import java.util.Random;

public class ConvolutionalNeuralNetwork {
    private final int inputWidth;
    private final int inputHeight;
    private final int inputDepth;
    private final int[] convolutionalLayerSizes;
    private final int[] fullyConnectedLayerSizes;
    private final int outputSize;
    private final double[][][][] convolutionalWeights;
    private final double[][] fullyConnectedWeights;
    private final double[] outputWeights;
    private final double[][][][] convolutionalWeightGrads;
    private final double[][] fullyConnectedWeightGrads;
    private final double[] outputWeightGrads;
    private final double[] outputErrors;
    private final double[] fullyConnectedErrors;
    private final double[][][] convolutionalErrors;

    public ConvolutionalNeuralNetwork(int inputWidth, int inputHeight, int inputDepth, int[] convolutionalLayerSizes, int[] fullyConnectedLayerSizes, int outputSize) {
        this.inputWidth = inputWidth;
        this.inputHeight = inputHeight;
        this.inputDepth = inputDepth;
        this.convolutionalLayerSizes = convolutionalLayerSizes;
        this.fullyConnectedLayerSizes = fullyConnectedLayerSizes;
        this.outputSize = outputSize;
        Random random = new Random();
        convolutionalWeights = new double[convolutionalLayerSizes.length][][][];
        for (int i = 0; i < convolutionalWeights.length; i++) {
            convolutionalWeights[i] = new double[convolutionalLayerSizes[i]][][];
            for (int j = 0; j < convolutionalWeights[i].length; j++) {
                convolutionalWeights[i][j] = new double[inputDepth][];
                for (int k = 0; k < convolutionalWeights[i][j].length; k++) {
                    convolutionalWeights[i][j][k] = new double[3];
                    for (int l = 0; l < convolutionalWeights[i][j][k].length; l++) {
                        convolutionalWeights[i][j][k][l] = random.nextGaussian();
                    }
                }
            }
        }
        fullyConnectedWeights = new double[fullyConnectedLayerSizes.length][];
        for (int i = 0; i < fullyConnectedWeights.length; i++) {
            fullyConnectedWeights[i] = new double[fullyConnectedLayerSizes[i]];
            for (int j = 0; j < fullyConnectedWeights[i].length; j++) {
                fullyConnectedWeights[i][j] = random.nextGaussian();
            }
        }
        outputWeights = new double[outputSize];
        for (int i = 0; i < outputWeights.length; i++) {
            outputWeights[i] = random.nextGaussian