rethinking-network-pruning
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VGG-16 on CIFAR10 dataset architecture
Hello, I want to know the architecture of the VGG-16 used on CIFAR-10 dataset , it contains 13 convolution layers followed by an average pooling layer and one fully connected layer? regards