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Convolutional Neural Network - More Layers with smaller filters? [D]
Hello, assume I am building a ResNet Convolutional Neural Network and that I have only 40 layers to use.
Would it be better to build the architecture by using 10 layers per block?
So 10 layers for block A with 16 filters, then 10 for block B with 32 filters, ..., and then the final 10 layers for block D with 128 filters.
Would it be better to build the architecture by decreasing the number of layers per block? …!-->