【論文解讀】EffNet: AN EFFICIENT STRUCTURE FOR CONVOLUTIONAL NEURAL NETWORKS
題目：EffNet: AN EFFICIENT STRUCTURE FOR CONVOLUTIONAL NEURAL NETWORKS 日期：2018.6.5 鏈接：https://arxiv.org/abs/1801.06434v1 【摘要】 隨着CNN在用戶產品應用上不斷增加，對模型能夠高效運行在嵌入式，移動硬件設備上的需求也逐漸熱化。模型輕量化因此變爲一個熱門研究話題，也涌現出如網絡二值
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相關文章
- 1. EffNet: An Efficient Structure for Convolutional Neural Networks
- 2. 【論文閱讀筆記】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 3. 論文閱讀筆記：ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 4. 論文閱讀（7）：VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight FR
- 5. 【論文閱讀】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 6. 論文閱讀：VarGFaceNet: An Efficient Variable Group Convolutional Neural Network for Lightweight Face Reco
- 7. MobileNets -Efficient Convolutional Neural Networks for Mobile Vision Applications 論文解讀
- 8. 【論文學習】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
- 9. 論文筆記：An Efficient Hardware Accelerator for Structured Sparse Convolutional Neural Networks on FPGAs
- 10. 論文筆記：An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs