You can do some GPU experiments on Amazon AWS before you buy. 65 cents per hour
David http://aws.amazon.com/ec2/instance-types/ G2 This family includes G2 instances intended for graphics and general purpose GPU compute applications. Features: High Frequency Intel Xeon E5-2670 (Sandy Bridge) Processors High-performance NVIDIA GPU with 1,536 CUDA cores and 4GB of video memory GPU Instances - Current Generation g2.2xlarge $0.650 per Hour > -----Original Message----- > From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf > Of Detlef Schmicker > Sent: Thursday, December 25, 2014 2:00 AM > To: computer-go@computer-go.org > Subject: Re: [Computer-go] Move Evaluation in Go Using Deep Convolutional > Neural Networks > > Hi, > > as I want to by graphic card for CNN: do I need double precision > performance? I give caffe (http://caffe.berkeleyvision.org/) a try, and as > far as I understood most is done in single precision?! > > You get comparable single precision performance NVIDA (as caffe uses CUDA > I look for NVIDA) for about 340$ 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 _______________________________________________ Computer-go mailing list Computer-go@computer-go.org http://computer-go.org/mailman/listinfo/computer-go
