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我从https://arxiv.org/pdf/1603.01068.pdf获取了这个神经网络配置,我不明白为什么 Matlab 说第 8 层由于尺寸问题而不能接受第 7 层的数据。这些是层:

layers = [
    imageInputLayer([block_dimensions block_dimensions 3]) %64x64x3

    convolution2dLayer([4 4],32,'NumChannels',3,'Stride',1)  %61x61x32
    maxPooling2dLayer([2 2],'Stride',2)  %31x31x32

    convolution2dLayer([5 5],48,'NumChannels',32,'Stride',1)  %27x27x48
    maxPooling2dLayer([2 2],'Stride',2)  %14x14x48

    convolution2dLayer([5 5],64,'NumChannels','auto','Stride',1)  %10x10x64
    maxPooling2dLayer([2 2],'Stride',2)  %5x5x64

    convolution2dLayer([5 5],128,'NumChannels','auto','Stride',1)  %1x1x128
    fullyConnectedLayer(128)
    reluLayer()
    fullyConnectedLayer(cameras_number)
    softmaxLayer()
    classificationLayer
];

我已经计算了所有层输出的大小,它们似乎是正确的。如果我删除最后一个 maxpooling 层,网络可以工作,但它的性能不如我预期的那样好。

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