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Does anyone know a paper that describes the differences and compares the different deep learning architectures? like Stacked autoencoders, deep believe networks, maxout networks ... etc. |
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Have a look at this paper: Representation Learning It gives a good overview and comparision of the different models. I don't have access to IEEE explore :(
(Apr 29 '14 at 07:42)
Alex Twain
If you google the paper, you'll find it on arXiv!
(May 01 '14 at 02:05)
Sharath Chandra
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