用java写一个卷积神经网络
时间: 2023-05-13 21:05:05 浏览: 273
好的,以下是一个简单的Java卷积神经网络的代码示例:
```java
import java.util.Random;
public class ConvolutionalNeuralNetwork {
private int inputSize;
private int outputSize;
private int filterSize;
private int numFilters;
private double[][][] filters;
private double[] biases;
public ConvolutionalNeuralNetwork(int inputSize, int outputSize, int filterSize, int numFilters) {
this.inputSize = inputSize;
this.outputSize = outputSize;
this.filterSize = filterSize;
this.numFilters = numFilters;
this.filters = new double[numFilters][filterSize][filterSize];
this.biases = new double[outputSize];
Random rand = new Random();
for (int i = 0; i < numFilters; i++) {
for (int j = 0; j < filterSize; j++) {
for (int k = 0; k < filterSize; k++) {
filters[i][j][k] = rand.nextDouble();
}
}
}
for (int i = 0; i < outputSize; i++) {
biases[i] = rand.nextDouble();
}
}
public double[] feedForward(double[][] input) {
int outputHeight = input.length - filterSize + 1;
int outputWidth = input[0].length - filterSize + 1;
double[][][] outputs = new double[numFilters][outputHeight][outputWidth];
for (int i = 0; i < numFilters; i++) {
for (int j = 0; j < outputHeight; j++) {
for (int k = 0; k < outputWidth; k++) {
double sum = 0;
for (int l = 0; l < filterSize; l++) {
for (int m = 0; m < filterSize; m++) {
sum += input[j + l][k + m] * filters[i][l][m];
}
}
outputs[i][j][k] = sum;
}
}
}
double[] flattenedOutputs = new double[numFilters * outputHeight * outputWidth];
int index = 0;
for (int i = 0; i < numFilters; i++) {
for (int j = 0; j < outputHeight; j++) {
for (int k = 0; k < outputWidth; k++) {
flattenedOutputs[index++] = outputs[i][j][k];
}
}
}
double[] output = new double[outputSize];
for (int i = 0; i < outputSize; i++) {
double sum = 0;
for (int j = 0; j < flattenedOutputs.length; j++) {
sum += flattenedOutputs[j] * biases[i];
}
output[i] = sum;
}
return output;
}
}
```
希望这个简单的代码示例能够帮助你理解Java卷积神经网络的实现方式。
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