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
