CN111047007B - 一种针对量化后的lstm的激活函数计算单元 - Google Patents
一种针对量化后的lstm的激活函数计算单元 Download PDFInfo
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CN111652361B (zh) * | 2020-06-04 | 2023-09-26 | 南京博芯电子技术有限公司 | 长短时记忆网络的复合粒度近存储近似加速结构系统和方法 |
CN115601692A (zh) * | 2021-07-08 | 2023-01-13 | 华为技术有限公司(Cn) | 数据处理方法、神经网络模型的训练方法及装置 |
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CN106775599A (zh) * | 2017-01-09 | 2017-05-31 | 南京工业大学 | 递归神经网络的多计算单元粗粒度可重构系统及方法 |
CN108090560A (zh) * | 2018-01-05 | 2018-05-29 | 中国科学技术大学苏州研究院 | 基于fpga的lstm递归神经网络硬件加速器的设计方法 |
CN109816105A (zh) * | 2019-01-16 | 2019-05-28 | 北京时代民芯科技有限公司 | 一种可配置的神经网络激活函数实现装置 |
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CN107688849B (zh) * | 2017-07-28 | 2021-04-13 | 赛灵思电子科技(北京)有限公司 | 一种动态策略定点化训练方法及装置 |
CN109583561B (zh) * | 2017-09-28 | 2021-05-07 | 杭州海康威视数字技术股份有限公司 | 一种深度神经网络的激活量量化方法及装置 |
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Publication number | Priority date | Publication date | Assignee | Title |
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CN106775599A (zh) * | 2017-01-09 | 2017-05-31 | 南京工业大学 | 递归神经网络的多计算单元粗粒度可重构系统及方法 |
CN108090560A (zh) * | 2018-01-05 | 2018-05-29 | 中国科学技术大学苏州研究院 | 基于fpga的lstm递归神经网络硬件加速器的设计方法 |
CN109816105A (zh) * | 2019-01-16 | 2019-05-28 | 北京时代民芯科技有限公司 | 一种可配置的神经网络激活函数实现装置 |
Non-Patent Citations (3)
Title |
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FINN-L: Library Extensions and Design Trade-Off Analysis for Variable Precision LSTM Networks on FPGAs;Vladimir Rybalkin et al;《2018 28th International Conference on Field Programmable Logic and Applications (FPL)》;20181206;第89-96页 * |
Low Complex & High Accuracy Computation Approximations to Enable On-Device RNN Applications;Sirish Kumar Pasupuleti et al;《2019 IEEE International Symposium on Circuits and Systems (ISCAS)》;20190501;第1-5页 * |
一种基于折线逼近操作的极化码译码算法;马秋然 等;《http://kns.cnki.net/kcms/detail/51.1196.TP.20190618.0905.001.html》;20190618;第1-6页 * |
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