matlab构建含PRelu的全卷积神经网络
时间: 2023-11-13 09:54:01 浏览: 39
可以使用MATLAB中的Deep Learning Toolbox来构建含PRelu的全卷积神经网络。以下是一个简单的示例代码:
```matlab
layers = [
imageInputLayer([32 32 3])
convolution2dLayer(3,16,'Padding','same')
batchNormalizationLayer
reluLayer
convolution2dLayer(3,16,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,32,'Padding','same')
batchNormalizationLayer
reluLayer
convolution2dLayer(3,32,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,64,'Padding','same')
batchNormalizationLayer
reluLayer
convolution2dLayer(3,64,'Padding','same')
batchNormalizationLayer
reluLayer
fullyConnectedLayer(10)
softmaxLayer
classificationLayer];
lgraph = layerGraph(layers);
% Replace all ReLU layers with PReLU layers
lgraph = replaceLayer(lgraph,'reluLayer',preluLayer());
% Train the network
options = trainingOptions('sgdm','MaxEpochs',10,'InitialLearnRate',0.01);
net = trainNetwork(trainData,lgraph,options);
```
在这个示例中,我们首先定义了一个包含卷积层、批量归一化层、PRelu层和池化层的层序列。然后,我们使用`layerGraph`函数将这些层组合成一个层图。接下来,我们使用`replaceLayer`函数将所有的ReLU层替换为PRelu层。最后,我们使用`trainNetwork`函数训练网络。