C++ Low level performance optimize 2 上一篇 文章讨论了一些底层代码的优化技巧,本文继续讨论一些相关的内容. 首先,上一篇文章讨论cache missing的重要性时,用了list做比较,目的并不是说list没有用,而是说明cache missing会对性能有重要影响.如果元素不多,并且对象复制的代价很大,那么list可能就是更好的选择.其次,这里讨论的大部分是编码时一些比较底层的技巧,当遇到性能问题时,应该先考虑是否能在高层改进算法,减少运算,实在不行,在考…

C++ Low level performance optimize 1.  May I have 1 bit ? 下面两段代码,哪一个占用空间更少,那个速度更快?思考10秒再继续往下看:) //v1 struct BitBool { ; ; ; } BitBool bb; bb.b1 = true; //v2 struct NormalBool { bool b0; bool b1; bool b2; } NormalBool nb; nb.b1 = true; 第一种通常被认为是优化的版本,…

关键点: 1)对齐 (8%) 2)mutual learning (3%) 3)classification loss, hard triplet同时 4)re-ranking (5~6%) 关于对齐: 作者在resnet pool5 7*7那里,分两路,pool成7*1,1*1.对于7*1,进一步pairs对齐,(用动态规划),形成N*N距离矩阵.两个矩阵矩阵,其中对于动态规划,用最短路径来描述. 这两个矩阵只用于hard triplet 关于测试: 由于训练时利用了“pairs”的relat…

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About this Course You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been…

本周课程的主题是两大应用:人脸检测和风格迁移. 1. Face verification vs. face recognition Verification: 一对一的问题. 1) 输入:image, name/ID. 2) 输出:image是否对应这个name/ID. Recognition: 一对多的问题. 1) 数据库存了K个人. 2)输入:图片. 3)输出:如果图片中的人属于数据库,则输出ID:否则显示"not recognized". Verification是基础组建,正确…

this blog from: https://opendatascience.com/blog/notes-on-representation-learning-1/   Notes on Representation Learning By Zac Kriegman, Senior Data Scientist in the Thomson Reuters Data Innovation Lab | 02/07/2017 Tags: Deep Learning , Neural Networ…

Rolling in the Deep (Learning) Deep Learning has been getting a lot of press lately, and is one of the hottest the buzz terms in Tech these days. Just check out one of the few recent headlines from Forbes, MIT Tech Review and you will surely see thes…

orthogonalization/ one metric train.dev/test 划分 开发集和测试集一定来自同一分布  onthe  same distribution Human level performance & bayes error human level performance 接近 bayes error,training error 和 bayes 的差距 : bias(avoidable error),dev/test error: variance,决定先调优bi…

最近在看机器学习,看能否根据已有的历史来预测Hardware的故障发生概率.下文是一篇很有意思的文章,转自 http://numenta.org/htm.html. NuPIC是一个开源项目,用来实现HTM. ------------------- There are many things humans find easy to do that computers are currently unable to do. Tasks such as visual pattern recognit…