On 04/06/2012 08:04 AM, xinfan meng wrote:
On Fri, Apr 6, 2012 at 1:57 PM, David Warde-Farley <warde...@iro.umontreal.ca <mailto:warde...@iro.umontreal.ca>> wrote:On 2012-04-05, at 5:17 PM, Vlad Niculae <zephy...@gmail.com <mailto:zephy...@gmail.com>> wrote: > > http://ufldl.stanford.edu/wiki/images/8/84/SelfTaughtFeatures.png > > It is easy to set up the skeleton of such an example and when the implementation is good it will magically run :) I have stared at way too many MNIST weight visualizations over the years, and this one strikes me as "too good" to have been produced using supervised SGD. Based on the filename it sounds like some form of "self taught learning", which would imply an unsupervised architecture of some kind. Interesting. Does good visualization leads to good prediction?
No ;) But it looks oh so good in the paper?!Btw, I looked at the exercise sheet an the visualisation of the weights there looks quite different
and more like what I would expect.
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