How image filters change picture size — simple guide to convolution
Seeing how a computer filter reshapes a photo is more easier than it looks, it helps you design better model.
Small rules tell you if an image will shrink, stay same or grow when it pass through a layer, and you can learn them fast.
The result depends on the filter size, the steps the filter jumps, and the extra border or padding put around pixels.
Filters that skip more pixels tend to make outputs smaller, while adding empty border makes them larger; a special reverse layer, called transpose, tries to undo the change like a rewind.
Once those simple ideas click you can predict final picture size without guessing and save time.
The guide turns math into clear pictures and plain rules you can imagne, so building things becomes less mystifying, and you keep more control.
Try it on a small example and see how the numbers change, you might be surprized how quick it is to learn.
Read article comprehensive review in Paperium.net:
A guide to convolution arithmetic for deep learning
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