【論文閱讀】[2009.00278v2]Scaling Up Deep Neural Network Optimization for Edge Inference
文章是從知乎嵌入式AI簡報17期中看到的，閱讀了原文總結了一下關鍵點和個人看法。 [2009.00278v2] Scaling Up Deep Neural Network Optimization for Edge Inference 鏈接：https://arxiv.org/abs/2009.00278v2 摘要：深度神經網絡已越來越多地部署在邊緣設備上，如移動電話、無人機、機器人和可穿戴設備
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相關文章
- 1. 論文閱讀《Edge Detection Using Convolutional Neural Network》
- 2. 【論文閱讀】Gradient Centralization: A New Optimization Technique for Deep Neural Networks
- 3. 論文閱讀筆記《Edge-Labeling Graph Neural Network for Few-shot Learning》
- 4. 論文閱讀：Deep Neural Networks for Object Detection
- 5. 粗讀CVPR2019論文 Edge-Labeling Graph Neural Network for Few-shot Learning
- 6. 論文閱讀：ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- 7. 論文閱讀：《Wide & Deep Learning for Recommender Systems》
- 8. 論文閱讀——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
- 9. 《Deep Adaptive Inference Networks for Single Image Super-Resolution》論文閱讀
- 10. 論文閱讀：RefineDet：Single-Shot Refinement Neural Network for Object Detection