Structured Bayesian Compression for Deep models in mobile enabled devices for connected healthcare

13 Feb 2019 Sijia Chen Bin Song Xiaojiang Du Nadra Guizani

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, the mainstream trend in connected healthcare...

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