cnn卷积神经网络matlab代码
时间: 2023-06-30 12:09:49 浏览: 53
以下是一个简单的CNN卷积神经网络的Matlab代码示例:
```matlab
% Load dataset
load mnist.mat
% Reshape input data
x_train = reshape(x_train, [28, 28, 1, size(x_train, 1)]);
x_test = reshape(x_test, [28, 28, 1, size(x_test, 1)]);
% Define layers
layers = [
imageInputLayer([28 28 1])
convolution2dLayer(5, 20)
reluLayer
maxPooling2dLayer(2, 'Stride', 2)
fullyConnectedLayer(10)
softmaxLayer
classificationLayer];
% Define training options
options = trainingOptions('sgdm', ...
'MaxEpochs', 10, ...
'ValidationData', {x_test, y_test}, ...
'Plots', 'training-progress');
% Train network
net = trainNetwork(x_train, y_train, layers, options);
% Test network
y_pred = classify(net, x_test);
accuracy = sum(y_pred == y_test) / numel(y_test);
fprintf('Accuracy: %.2f%%\n', 100 * accuracy);
```
该代码使用MNIST数据集训练一个简单的CNN卷积神经网络,包含一些常见的层(卷积层,ReLU层,池化层,全连接层等)。训练选项使用随机梯度下降(SGD)算法进行优化,并在每个时期验证测试数据。最后,测试网络并计算分类准确度。