Smart-DNN: Efficiently Reducing the Memory Requirements of Running Deep Neural Networks on Resource-constrained Platforms

2021 IEEE 39th International Conference on Computer Design (ICCD)(2021)

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摘要
Deep neural networks (DNNs) have gained considerable attention in various real-world applications due to their strong performance in representation learning. However, running a DNN needs tremendous memory resources, which significantly restricts DNN from being applicable on resource-constrained platforms (e.g., IoT, mobile devices, etc.). Lightweight DNNs can accommodate the characteristics of mob...
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关键词
Deep learning,Representation learning,Performance evaluation,Knowledge engineering,Runtime,Quantization (signal),Conferences
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