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> So if I understand what you're saying, a 1x1 convolutional layer for collapsing 100 channels to 10 channels would take a 100x512x512 tensor and collapse it to a 10x512x512 tensor?

Correct. As I understand it, this would be applying a 1x1 covolution with 10 filters to a 100x512x512 tensor.




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