可以用m语言写一段LSTM网络的代码吗
时间: 2024-03-12 13:48:21 浏览: 14
当问到M语言时,我假定您指的是MATLAB。下面是一个用MATLAB实现LSTM网络的例子代码:
```
% 定义LSTM网络结构
numHiddenUnits = 100;
numClasses = 10;
layers = [ ...
sequenceInputLayer(inputSize)
lstmLayer(numHiddenUnits, 'OutputMode', 'last')
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer];
% 定义训练选项
options = trainingOptions('adam', ...
'MaxEpochs', 20, ...
'MiniBatchSize', 128, ...
'InitialLearnRate', 0.001, ...
'GradientThreshold', 1, ...
'Shuffle', 'every-epoch', ...
'Verbose', false, ...
'Plots', 'training-progress');
% 加载数据
load mnist.mat
XTrain = reshape(XTrain, 28, 28, 1, []);
XTest = reshape(XTest, 28, 28, 1, []);
% 训练LSTM网络
net = trainNetwork(XTrain, YTrain, layers, options);
% 测试LSTM网络
YPred = classify(net, XTest);
accuracy = sum(YPred == YTest) / numel(YTest);
fprintf('Accuracy = %f%%\n', accuracy * 100);
```
在这个例子中,我们使用MATLAB深度学习工具箱中的`sequenceInputLayer`、`lstmLayer`、`fullyConnectedLayer`、`softmaxLayer`和`classificationLayer`函数来定义LSTM网络结构。然后使用`trainingOptions`函数来定义训练选项。接着加载MNIST数据集,并使用`trainNetwork`函数来训练LSTM网络。最后使用`classify`函数来测试LSTM网络,并计算其准确率。