Block-grained Scaling of Deep Neural Networks for Mobile Vision
This presentation explores the challenges of optimizing Deep Neural Networks (DNN) for mobile vision systems due to their large size and high energy consumption. The LegoDNN framework introduces a block-grained scaling approach to reduce memory access energy consumption by compressing DNNs. The agen
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