Search Results for author: Mohamed M. Sabry

Found 1 papers, 0 papers with code

TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks

no code implementations29 Nov 2018 Lile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry

To this end, we introduce TEA-DNN, a NAS algorithm targeting multi-objective optimization of execution time, energy consumption, and classification accuracy of CNN workloads on embedded architectures.

General Classification Image Classification +1

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