No, you don't need double precision at all. Álvaro.
On Thu, Dec 25, 2014 at 5:00 AM, Detlef Schmicker <d...@physik.de> wrote: > Hi, > > as I want to by graphic card for CNN: do I need double precision > performance? I give caffe (http://caffe.berkeleyvision.org/) a try, and > as far as I understood most is done in single precision?! > > You get comparable single precision performance NVIDA (as caffe uses > CUDA I look for NVIDA) for about 340$ but the double precision > performance is 10x smaller than the 1000$ cards > > thanks a lot > > Detlef > > Am Mittwoch, den 24.12.2014, 12:14 +0800 schrieb hughperkins2: > > Whilst its technically true that you can use an nn with one hidden > > layer to learn the same function as a deeper net, you might need a > > combinatorally large number of nodes :-) > > > > > > "scaling learning algorithms towards ai", by bengio and lecunn, 2007, > > makes a convincing case along these lines. > > > > > > > > _______________________________________________ > > Computer-go mailing list > > Computer-go@computer-go.org > > http://computer-go.org/mailman/listinfo/computer-go > > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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