Thanks. It's the knowing/storing the context part in the article that sounds similar. But, I am definitely not well versed in deep learning.
Sent from my iPhone > On Aug 7, 2015, at 9:22 AM, David Ray <[email protected]> wrote: > > Hi Chirag, > > I read the article out of curiosity and have to say that while they use a few > overlapping terms, this is still another regurgitation of Deep Learning > networks which bare no resemblance at all to constructs in NuPIC. > > The "patter" around it can make it seem as if the two approaches have some > degree of alignment - but they don't. > > For example: > >> The only method that we knew worked was a brain, so in the long run it had >> to be that systems something like that could be made to work,” says Hinton. > > They then proceed to build something that is totally orthogonal to any > appearing in biology - co-opting the approach description of NuPIC without > embodying it. > > The article is interesting for its relaying of the history of perceptrons > though. > > Cheers, > David > > Sent from my iPhone > >> On Aug 7, 2015, at 6:00 AM, [email protected] wrote: >> >> Hi All, >> Did anyone see this article on tech review about LeCun's New AI framework >> at FB. It uses a memory-prediction framework to learn language. That sounds >> too similar to NuPIC >> >> http://www.technologyreview.com/featuredstory/540001/teaching-machines-to-understand-us/ >> >> >> Rgds, >> Chirag >
