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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