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![[Pasted image 20240130103300.png]]
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> btw, i suspect that the coordconv at the first layer might not be necessary (coord0)
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> at the first layer the CNN just does low level feature dedection (detecting edges and so on)
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> the coordconv are only helpful for higher level analysis deeper in the model
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> at least that's my theory
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> also, do i see correctly that after the first layer, there's 1 maxpool that makes it 4x smaller? from 2048x1024 to 512x256?
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> or does the first layer use stride 2, and the maxpool only makes it 2x smaller?
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> overall the architecture looks good :+1:
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> - Comments [[Floris]]
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