Node Specificity in Convolutional Deep Nets Depends on Receptive Field Position and Size

23 Nov 2015 Karl Zipser

In convolutional deep neural networks, receptive field (RF) size increases with hierarchical depth. When RF size approaches full coverage of the input image, different RF positions result in RFs with different specificity, as portions of the RF fall out of the input space... (read more)

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