Yes, and it's a very important property of CNNs. You can do the hard computational work of training in the data center, but get results from inferencing at the

Yes, and it's a very important property of CNNs. You can do the hard computational work of training in the data center, but get results from inferencing at the edge. In a sense, you're using the trained network as an energy storage system, shifting energy requirements away from power- and cost-constrained devices. Inferencing is also highly amicable to hardware optimisation, which we're starting to see in the latest flagship mobile SoCs. I expect to see low-cost microcontrollers with inference accelerators within the next couple of years.