Choose a graphic card to train SegNet for deep learning
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I just started to learn semantic segmentation using SegNet. I'm in the stage to choose a graphic card between GTX 1060 6gb or GTX 1060 3gb or GTX 1050 Ti 4gb. I'm very budget tight so I won't consider anything beyond GTX 1060 6gb. I need suggestion whether GTX 1060 6gb is sufficient to train SegNet? My data base is small and it won't exceed 1gb of images. Or can I start from GTX 1050 Ti 4gb? I don't mind about slower training speed (I can leave my computer on overnight) but I'm a bit worried if 4gb is enough?
Let's say can I use GTX 1050 Ti 4GB for this Matlab tutorial
Joss Knight il 19 Nov 2017
The GeForce 10 series will all work fine, they just have different capabilities and constraints. On a cheaper GPU you may need to keep the training MiniBatchSize down in order to lower the stress on memory and compute power. I've seen quite a lot of problems with kernel timeouts and other issues posted to Answers on the 960, 970, 1050 and 1060, but I do think most of the problems can be dealt with that way.