【Paper Reading】Towards Accurate Binary Convolutional Neural

时间 2021-01-02

标签 Paper Reading 深度学习神经网络繁體版

原文原文链接

2017NIPS 大疆论文地址：https://arxiv.org/abs/1711.11294 代码地址：https://github.com/layog/Accurate-Binary-Convolution-Network 摘要本文介绍一种新的二进制卷积神经网络(CNNs)训练方案- CNNs的权重和激活限制在{-1，+1}。众所周知，使用二进制权值和激活可以极大地减少内存大小和访问，并

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1. Towards Accurate Binary Convolutional Neural Network
2. 【Paper Reading】Forward and Backward Information Retentionfor Accurate Binary Neural Networks
3. #Paper Reading# EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
4. Paper reading: MobileNet: Efficient Convolutional Neural Networks forMobile Vision Applications
5. Paper Reading: Slimmable Neural Networks
6. Paper reading (五十七)：MetaNN accurate classification of host phenotypes from metagenomic data using NN
7. Paper Reading -- CBAM: Convolutional Block Attention Module
8. Local Binary Convolutional Neural Networks
9. Paper Reading - Convolutional Sequence to Sequence Learning ( CoRR 2017 ) ★
10. 【Paper Reading】XNOR-Net

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