Re:Emergent Chip Vastly Accelerates Deep Neural Networks
by versteegen on Tuesday January 12, 2016 @02:05AM
(#10885990)
Well, it depends on the neural network you want to use. At computer vision/image processing conferences I find that it is much more common for people to use preexisting DNNs and plug them into their systems rather than train their own (why would you waste weeks or months on that?). The good pretrained DNNs available today tend to be huge, requiring a large amount of video RAM. I've talked to people writing realtime image processing software (GPU acceleration required) intended for handheld devices which can't yet actually run on the device because they don't have a suitable DNN which will fit in VRAM.
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Re:Emergent Chip Vastly Accelerates Deep Neural Networks
by nl on Wednesday January 13, 2016 @12:20AM
(#10892452)
3.5% top-5 error rate on ImageNet running on Android. Hard to beat that (unless you are Microsoft Research Asia).
https://github.com/tensorflow/tensorflow/tree/master/tensorf...
Re:Emergent Chip Vastly Accelerates Deep Neural Networks
by dharma1 on Tuesday January 12, 2016 @06:29AM
(#10886766)
mxnet has some optimised models for mobile devices - http://mxnet.readthedocs.org/en/latest/tutorial/smart_device...