Structured Bayesian Compression for Deep Models in Mobile-Enabled Devices for Connected Healthcare
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DOI: 10.1109/mnet.001.1900204
Abstract: Deep models, typically deep neural networks, have millions of parameters, analyze medical data accurately, yet in a time-consuming method. However, energy cost effectiveness and computational efficiency are important for prerequisites developing and deploying mobile-enabled devices,… read more here.
Keywords: connected healthcare; mobile enabled; compression; deep models ... See more keywords