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.

asked Apr 28 '14 at 05:28

Alex%20Twain's gravatar image

Alex Twain
618912


One Answer:

Have a look at this paper: Representation Learning It gives a good overview and comparision of the different models.

answered Apr 28 '14 at 23:43

Sharath%20Chandra's gravatar image

Sharath Chandra
311131621

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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