January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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Upsampling the layers by pooling
In Chapter 1, Getting Started, we discussed max pooling. Max pooling is a sampling strategy that picks the maximum value from a window. This could be reversed for upsampling. Each value can be surrounded with zeros to upsample the layer, as shown here:
The zeros are added at the same locations which are the numbers that are upsampled. Un-pooling can be improved by remembering the locations of downsampling and using it for upsampling, as shown here:
Index-wise, upsampling yields better results than appending ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.