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At this point, there's so much conceptual and syntactical overlap between the two frameworks that there isn't a "winner." Like most DS/ML tools, use which one f
by minimaxir 5y ago
At this point, there's so much conceptual and syntactical overlap between the two frameworks that there isn't a "winner." Like most DS/ML tools, use which one fits your use case.
- SleekEagle 5y agoI totally agree! I think their technical differences are superseded by other practical considerations at this point. It's interesting to see how the landscape for which is better given a use case is changing though - PyTorch has made a lot of effort to grab more of the industry sector with TorchServe and PyTorch Live. Do you think PyTorch can catch up here? I think Google's Coral devices give them a lock on embedded devices in the coming years
- dontreact 5y agoI tried and failed to use Google Coral about 8months ago. The dev experience was terrible. Our company just went with deploying using openvino on cpu, which was fast enough. I’m not sure coral has enough of an edge to make it worthwhile relative to simpler edge deployment options like cpu