韩松 EIE： Efficient Inference Engine on Compressed Deep Neural Network论文详解 - 代码天地

韩松 EIE： Efficient Inference Engine on Compressed Deep Neural Network论文详解

其他 2020-04-03 21:18:33 阅读次数: 0

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韩松EIE:Efficient Inference Engine on Compressed Deep Neural Network论文详解

韩松 EIE： Efficient Inference Engine on Compressed Deep Neural Network论文详解

【读点论文】A Survey of Quantization Methods for Efficient Neural Network Inference

韩松博士毕业论文Efficient methods and hardware for deep learning论文详解

【论文阅读】韩松《Efficient Methods And Hardware For Deep Learning》节选《Deep compression》

韩松DSD:Dense-sparse-dense training for deep neural networks论文详解

【论文阅读】韩松《Efficient Methods And Hardware For Deep Learning》节选《Learning both Weights and Connections 》

Efficient Deep Neural Networks

FPGA 17最佳论文导读 ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA

FPGA 17最佳论文 ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA

Quantizing deep convolutional networks for efficient inference A whitepaper

论文阅读——Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

韩松 DEEP COMPRESSION论文及代码实验

MEC：Memory-efficient Convolution for Deep Neural Network 深度神经网络中内存高效的卷积算法MEC 论文详解 ICML 2017

【模型剪枝】|Pruning Convolutional Neural Networks for Resource Efficient Inference

论文笔记-IGCV3：Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks

论文阅读——ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

【论文阅读笔记】ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

ISSCC 2017论文导读 Session 14: A 28nm SoC with a 1.2GHz Prediction Sparse Deep-Neural-Network Engine

【韩松】Deep Gradient Comression

Neural Network and Deep Learning

Deep Neural Network Training

Deep Neural Network

005 Deep Neural Network

【论文阅读】ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

《ShuffleNet: An Extremely Efficient Convolutional Neural Network for MobileDevices》论文笔记

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition

Tips for Training Deep Neural Network

Paper Review: FINN: A Framework for Fast, Scalable Binarized Neural Network Inference

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