Re:What's Wrong with Deep Learning?
by Houshalter on Monday June 15, 2015 @03:36PM
(#9721486)
Hinton doesn't like that pooling loses track of the exact locations where features are located, and just tests if a feature occurs in some area.
The basic effect of this is to decrease the resolution, so it's more tractable to operate on. Without pooling you are stuck with a huge resolution at each layer.
From Geoff Hinton's AMA on Reddit: The pooling operation used in convolutional neural networks is a big mistake and the fact that it works so well is a disaster.