Click here to Skip to main content
15,065,638 members
Please Sign up or sign in to vote.
0.00/5 (No votes)
So i've been reading a lot about neural network for face detection, and all of the paper i've read suggested a neural network with an input layer of 20x20 image and 3 hidden types of hidden units:
4 which look at 10x10 pixel subregions,
16 which look at 5x5 pixel subregions,
and 6 which look at overlapping 20x5 pixel horizontal stripes of pixels.
something like this http://i61.tinypic.com/2w3x6ko.png.

I want to know why this structure is used, can anyone explain this in detail?
I'll be very grateful for any answer.
Posted

This content, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)




CodeProject, 20 Bay Street, 11th Floor Toronto, Ontario, Canada M5J 2N8 +1 (416) 849-8900