Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems

18 Nov 2018 Miguel de Prado Nuria Pazos Luca Benini

Deep Learning is increasingly being adopted by industry for computer vision applications running on embedded devices. While Convolutional Neural Networks' accuracy has achieved a mature and remarkable state, inference latency and throughput are a major concern especially when targeting low-cost and low-power embedded platforms... (read more)

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