给我一个cnn-bilstm的matlab模板

下面是一个简单的CNN-BiLSTM的MATLAB模板，用于文本分类任务：

% 加载数据集
load('text_dataset.mat');
XTrain = trainDocuments;
YTrain = trainLabels;

% 定义CNN层
inputSize = 1;
filterSize = [3, 300];
numFilters = 100;
poolSize = [2, 2];
convLayer = convolution2dLayer(filterSize, numFilters, 'Padding', 'same');
reluLayer = reluLayer();
poolLayer = maxPooling2dLayer(poolSize, 'Stride', 1);
cnnLayers = [ ...
    imageInputLayer([inputSize, sequenceLength, 1])
    convLayer
    reluLayer
    poolLayer
    ];

% 定义BiLSTM层
numHiddenUnits = 50;
lstmLayer = bilstmLayer(numHiddenUnits, 'OutputMode', 'last');
outputLayer = fullyConnectedLayer(numClasses);
lossLayer = classificationLayer();
bilstmLayers = [ ...
    sequenceInputLayer(sequenceLength)
    lstmLayer
    outputLayer
    lossLayer
    ];

% 定义训练选项
options = trainingOptions('sgdm', ...
    'MaxEpochs', 10, ...
    'MiniBatchSize', 128, ...
    'Plots', 'training-progress');

% 合并CNN和BiLSTM层
layers = [
    cnnLayers
    bilstmLayers
    ];

% 训练模型
net = trainNetwork(XTrain, YTrain, layers, options);

注意，这只是一个简单的模板，您可以根据自己的数据集和任务进行调整和修改。