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Apr 30, 2018 at 7:35 history edited Ferdi
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Dec 5, 2016 at 3:19 history tweeted twitter.com/StackStats/status/805612539233050624
Aug 22, 2014 at 4:00 comment added subha When i do like that,how will it reconstruct the input data proper? I have tried, it is not reconstructing data proper.
Aug 21, 2014 at 13:29 comment added Angelorf @subha I think that is right, but that is exactly what I am asking in the original post.
Aug 18, 2014 at 1:01 comment added subha @Angelorf could you please review these instructions? i am using batch version. so for the 1st batch i find v0-h0-v1-h1.now we find +ve and -ve samples and update gradient. Then for next batch, gibbs chain starts at h1 of first batch inplace of h0 of second batch. Am i right?
Aug 13, 2014 at 8:49 comment added Angelorf @subha It does seem counter-intuitive, but it is actually quite clear it should be a single chain which is used for different input data. Also take a look at deeplearning.net/tutorial/rbm.html . There it is stated that what is done is "not restarting a chain for each observed example". deeplearning.net has a lot of great examples and simple explanation.
Apr 3, 2014 at 12:07 history asked Angelorf CC BY-SA 3.0