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Lhy的世界

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Lhy的世界 | closure11.com Reviews
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永远不要休息,要么就永远休息。
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2 blog
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6 浅谈流形学习中的几种经典降维方法
7 fast style transfer 快速风格转移
8 通过c/c 扩展的方式在python中进行并发
9 对抗自编码器 adversarial autoencoders
10 生成对抗式网络 generative adversarial networks
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Lhy的世界 | closure11.com Reviews

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1

April 2015 – LHY's World

http://closure11.com/2015/04

从大四开始接触SVM时每次都是推公式从原始优化问题到对偶问题然后应用个KKT条件就完事,然后过了一段时间就又觉得不对,好像整个SVM过程还缺了一些东西,前段时间偶然间注意到了SVM的Sequential Minimal Optimization(SMO)优化,才突然反应过来是对偶问题最终求解拉[.]. 使用Stacked Attention Networks进行图片QA(paper reading). RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事. 深度学习综述 二 深度学习用于目标检测 Deep Studio. On RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事.

2

January 2015 – LHY's World

http://closure11.com/2015/01

Best Time to Buy and Sell Stock I,II, III(LeetCode). Say you have an array for which the i. Element is the price of a given stock on day i. If you were only permit[.]. Find the contiguous subarray within an array (containing at least one number) which has the largest product. For example, given[.]. 使用Stacked Attention Networks进行图片QA(paper reading). RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事. 深度学习综述 二 深度学习用于目标检测 Deep Studio.

3

SVM – LHY's World

http://closure11.com/tag/svm

从大四开始接触SVM时每次都是推公式从原始优化问题到对偶问题然后应用个KKT条件就完事,然后过了一段时间就又觉得不对,好像整个SVM过程还缺了一些东西,前段时间偶然间注意到了SVM的Sequential Minimal Optimization(SMO)优化,才突然反应过来是对偶问题最终求解拉[.]. 使用Stacked Attention Networks进行图片QA(paper reading). RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事. 深度学习综述 二 深度学习用于目标检测 Deep Studio. On RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事.

4

December 2014 – LHY's World

http://closure11.com/2014/12

Michael I. Jordan概率图模型tutorial 一. 本文是对Michael Jordan关于Probability Graph Model的一篇tutorial( http:/ www.cis.upenn.edu/ mkearns/papers/barbados/jordan-tut.pdf. Social and Economic Networks: Models and Analysis笔记七 Games on Networks. 1Start with a Canonical&[.]. Social and Economic Networks: Models and Analysis笔记六 Learning on Networks. 课程已经完结,真是拖延症,这个笔记还没做完,罪过 赶紧抓紧补完……. 使用Stacked Attention Networks进行图片QA(paper reading). RCNN, Fast-RCNN, Faster-RCNN的一些事. On RCNN, Fast-RCNN, Faster-RCNN的一些事.

5

计算机 – LHY's World

http://closure11.com/category/学习/computer-science

在近期深度学习技术的各项突破中有一个非常有趣的研究工作,叫做生成对抗式网络 Generative Adversarial Networks 以下简称GAN ,最开始由Bengio所在实验室的人提出[1],然后被其他人做了一些改进,应用到一些更大的数据上后并做了进一步的拓展分析。 使用Stacked Attention Networks进行图片QA(paper reading). 论文 Stacked Attention Networks for Image Question Answering. 这篇来自CMU的文章主要研究的是Image Question Answering的问题,且是CVPR 2016第一个session的or[.]. RCNN, Fast-RCNN, Faster-RCNN的一些事. 最近在一个新的数据集 CompCar 上需要做很多层次的分类任务,做baseline时不可避免的会用到caffe,最开始时是用官网教程的方式先生成带标签的list列表,然后转成lmdb,最后caffe train - solver=xxx - weights=xxx这样进行训练,然而。 深度学习综述 ...

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Lhy的世界

一个简单有效的判别性区域定位方法(Learning Deep Features for Discriminative Localization). 使用Stacked Attention Networks进行图片QA(paper reading). RCNN, Fast-RCNN, Faster-RCNN的一些事. Best Time to Buy and Sell Stock I,II, III(LeetCode). Michael I. Jordan概率图模型tutorial 一. Social and Economic Networks: Models and Analysis笔记七 Games on Networks. Social and Economic Networks: Models and Analysis笔记六 Learning on Networks. Social and Economic Networks: Models and Analysis笔记五 Diffusion on Networks. Palindrome Partitioning II (LeetCode).

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