目录 Abstract 1 Introduction 1.1 Binary weight networks and model compression 2 Ternary weight networks 2.1 Problem formulation 2.2 Approximated solution with threshold-based ternary function 2.3 Training with stochastic gradient descent method 2.4 Mod…

Introduction 这两天看了一下这篇文章,我就这里分享一下,不过我还是只记录一下跟别人blog上没有,或者自己的想法(ps: 因为有时候翻blog时候发现每篇都一样还是挺烦的= =) .为了不重复前人的工作,我post一个不小心翻到的博客权值简化(1):三值神经网络(Ternary Weight Networks),整个论文内容及实现都讲的很全面了,可以翻阅一下,我也借鉴一下. 文中主要工作的点在三个方面: 增加了网络的表达力(expressive ability).在{1,0,1}基础…

目录 Abstract 1. Introduction 2.Related Work 3.Binary And Ternary Connect 3.1 BINARY CONNECT REVISITED 3.2 Ternary Connect 4.Quantized Back Propagation 5.Experiments 5.1 General Performance 5.2 Convergence 5.3 The effect of bit clipping 6.Conclusion An…

论文地址 Abstract Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its sense). 开放文本语义分析器被设计为通过推断相应的意义表示(MR -其意义的正式表示)来解释自然语言中的任何语句.…

论文标题:Siamese Neural Networks for One-shot Image Recognition 论文作者: Gregory Koch   Richard Zemel Ruslan Salakhutdinov 论文地址:https://www.cs.cmu.edu/~rsalakhu/papers/oneshot1.pdf 声明:小编翻译论文仅为学习,如有侵权请联系小编删除博文,谢谢! 小编是一个机器学习初学者,打算认真研究论文,但是英文水平有限,所以论文翻译中用到了Goo…

论文标题:MobileNets:Efficient Convolutional Neural Networks for Mobile Vision Appliications 论文作者:Andrew G.Howard  Menglong Zhu  Bo Chen ..... 论文地址:https://arxiv.org/pdf/1704.04861.pdf (https://arxiv.org/abs/1704.04861) 代码地址: TensorFlow官方 github-Tensorflo…

论文标题:Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition 标题翻译:用于视觉识别的深度卷积神经网络中的空间金字塔池 论文作者:Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun 论文地址:https://arxiv.org/pdf/1406.4729.pdf SPP的GitHub地址:https://github.com/yueruc…

论文标题:Visualizing and Understanding Convolutional Networks 标题翻译:可视化和理解卷积网络 论文作者:Matthew D. Zeiler  Rob Fergus 论文地址:https://arxiv.org/pdf/1311.2901v3.pdf            https://arxiv.org/abs/1311.2901 参考的翻译博客:https://blog.csdn.net/kklots/article/details/17…

论文标题:OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks 标题翻译:OverFeat:使用卷积神经网络集成识别,定位和检测 论文作者:Pierre Sermanet  David Eigen  Xiang Zhang  Michael Mathieu  Rob Fergus  Yann LeCun 论文地址:https://arxiv.org/pdf/1312.62…

论文标题:Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 标题翻译:基于区域提议(Region  Proposal)网络的实时目标检测 论文作者:Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun 论文地址:https://arxiv.org/abs/1506.01497 Faster RCNN 的GitHub地址:https://gith…