AdderNet: Do we really need multiplications in deep learning——準研究生論文週報
原文：CVPR2020 開源地址：Githubhtml 1 標題 AdderNet: Do we really need multiplications in deep learning 來源：CVPR 2020 日期：06月26日 週五git 2 概述 在計算機運算中，乘法耗費時間和硬件資源，而加法又快又省，CNNs中的卷積等操做都涉及大量的浮點相乘，神經網絡真的須要乘法嗎？爲此，文中
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相關文章
- 1. AdderNet: Do we really need multiplications in deep learning——準研究生論文週報
- 2. 論文閱讀——AdderNet: Do We Really Need Multiplications in Deep Learning?
- 3. 論文筆記：AdderNet: Do We Really Need Multiplications in Deep Learning?
- 4. Addernet學習筆記 --- AdderNet: Do We Really Need Multiplications in Deep Learning?
- 5. 論文閱讀：Do We Really Need Multiplications in Deep Learning?
- 6. 論文筆記：Do We Really Need Multiplications in Deep Learning？
- 7. 【Paper Reading】AdderNet: DoWe Really Need Multiplications in Deep Learning?
- 8. 加法神經網絡--AdderNet: DoWe Really Need Multiplications in Deep Learning?
- 9. Do Deep Nets Really Need to be Deep?
- 10. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?