resnet matlab 代码

您好！以下是一个简单的 MATLAB 实现 ResNet 的代码示例：

classdef ResidualBlock < nnet.layer.Layer
    properties
        ConvolutionLayer
        BatchNormalizationLayer
    end
    
    methods
        function layer = ResidualBlock(name, numFilters, bottleneckFactor)
            layer.Name = name;
            
            layer.ConvolutionLayer = convolution2dLayer(1, numFilters * bottleneckFactor, ...
                'Stride', 1, 'Padding', 0, 'Bias', false, 'Name', [name '/conv1']);
            
            layer.BatchNormalizationLayer = batchNormalizationLayer('Name', [name '/bn1']);
        end
        
        function Z = predict(layer, X)
            Y = layer.ConvolutionLayer.predict(X);
            Y = layer.BatchNormalizationLayer.predict(Y);
            Z = relu(Y);
        end
    end
end

layers = [
    imageInputLayer([32 32 3], 'Name', 'input')
    
    convolution2dLayer(3, 64, 'Padding', 'same', 'Name', 'conv1')
    batchNormalizationLayer('Name', 'bn1')
    reluLayer('Name', 'relu1')
    
    maxPooling2dLayer(3, 'Stride', 2, 'Padding', 'same', 'Name', 'maxpool1')

    ResidualBlock('resblock1a', 64, 1)
    ResidualBlock('resblock1b', 64, 1)
    ResidualBlock('resblock1c', 64, 1)
    
    averagePooling2dLayer(8, 'Name', 'avgpool')
    
    fullyConnectedLayer(10, 'Name', 'fc')
    softmaxLayer('Name', 'softmax')
    classificationLayer('Name', 'output')
];

lgraph = layerGraph(layers);
plot(lgraph)

这段代码实现了一个简单的 ResNet 网络结构，包括一个输入层、卷积层、批归一化层、ReLU 层、池化层、残差块、全连接层和输出层。您可以根据自己的需求进行修改和扩展。

请注意，这只是一个示例，并非完整的 ResNet 实现。如果您想要更复杂的网络结构或其他特性，请根据具体需求进行相应的修改和调整。希望对您有所帮助！