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[ProgSoc] Using Neural Nets to process images
Hi, I have a question for all you neural net (and back prop.) enthusiast
out there. I have a small project in mind; the project is using a neural
net, input an image on the NN's input nodes (scalled accordingly) and the
output would be the description of the image (this would also be
scaled accordingly) (e.g. banana, orange, mouse).
Now some assumptions:
- The image has no background(or a black background) and contains only a
single 300x400 2D image.
- The same image might be used several times in the NN but from different
angles or with different brightness.
- All scalling of the input and output nodes have been taken care of so
that they may fit into the NN.
The problem before i start is that has a project like this (or a
similar one) been done before? and secondly at a glance what issues might
occur? (aside from the usual overfitting and local minima)
Thanks
Stan
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