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posted @ 2016-09-18 11:16 AHU-WangXiao 阅读(16) 评论(0) 推荐(0) 编辑
摘要: A Gentle Introduction to the Gradient Boosting Algorithm for Machine Learning by Jason Brownlee on September 9, 2016 in XGBoost 0 0 0 0 0 0 0 0 Gradie 阅读全文
posted @ 2016-09-13 23:34 AHU-WangXiao 阅读(1359) 评论(0) 推荐(0) 编辑
摘要: How to Configure the Gradient Boosting Algorithm by Jason Brownlee on September 12, 2016 in XGBoost 0 0 0 0 0 0 0 0 Gradient boosting is one of the mo 阅读全文
posted @ 2016-09-13 23:34 AHU-WangXiao 阅读(626) 评论(0) 推荐(0) 编辑
摘要: Teaching Your Computer To Play Super Mario Bros. – A Fork of the Google DeepMind Atari Machine Learning Project Posted by ehrenbrav on August 25, 2016 阅读全文
posted @ 2016-09-11 01:02 AHU-WangXiao 阅读(400) 评论(0) 推荐(0) 编辑
摘要: A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python) MACHINE LEARNING PYTHON R SHARE MANISH SARASWAT , APRIL 12, 2016 / 52 Introduc 阅读全文
posted @ 2016-09-11 00:12 AHU-WangXiao 阅读(1842) 评论(0) 推荐(0) 编辑
摘要: Awesome Python A curated list of awesome Python frameworks, libraries, software and resources. Inspired by awesome-php. Awesome Python Environment Man 阅读全文
posted @ 2016-09-11 00:04 AHU-WangXiao 阅读(564) 评论(0) 推荐(0) 编辑
摘要: 最近写 AAAI 的文章,下载了其模板,但是蛋疼的是,总是提示错误,加上参考文献总是出错: 如下: ! pdfTeX error (ext4): \pdfendlink ended up in different nesting level than \pd fstartlink. \AtBegSh 阅读全文
posted @ 2016-09-10 21:13 AHU-WangXiao 阅读(8511) 评论(1) 推荐(0) 编辑
摘要: Attention and Augmented Recurrent Neural Networks CHRIS OLAHGoogle Brain SHAN CARTERGoogle Brain Sept. 8 2016 Citation: Olah & Carter, 2016 CHRIS OLAH 阅读全文
posted @ 2016-09-09 23:04 AHU-WangXiao 阅读(781) 评论(0) 推荐(0) 编辑
摘要: Deep Learning in a Nutshell: Reinforcement Learning Share: Share: Posted on September 8, 2016 by Tim Dettmers No CommentsTagged Deep Learning, Deep Ne 阅读全文
posted @ 2016-09-09 22:52 AHU-WangXiao 阅读(343) 评论(0) 推荐(0) 编辑
摘要: Doing well in your courses a guide by Andrej Karpathy a guide by Andrej Karpathy Here is some advice I would give to younger students if they wish to 阅读全文
posted @ 2016-09-09 00:01 AHU-WangXiao 阅读(290) 评论(0) 推荐(0) 编辑
摘要: A Survival Guide to a PhD Sep 7, 2016 This guide is patterned after my “Doing well in your courses”, a post I wrote a long time ago on some of the tip 阅读全文
posted @ 2016-09-08 23:42 AHU-WangXiao 阅读(347) 评论(0) 推荐(0) 编辑
摘要: An overview of gradient descent optimization algorithms Table of contents: Gradient descent variantsChallenges Batch gradient descent Stochastic gradi 阅读全文
posted @ 2016-09-06 23:03 AHU-WangXiao 阅读(623) 评论(0) 推荐(0) 编辑
摘要: Deep Learning in a Nutshell: Core Concepts Share: Share: Posted on November 3, 2015 by Tim Dettmers 7 CommentsTagged cuDNN, Deep Learning, Deep Neural 阅读全文
posted @ 2016-09-06 22:59 AHU-WangXiao 阅读(318) 评论(0) 推荐(0) 编辑
摘要: 深度学习在目标跟踪中的应用 原创 2016-09-05 徐霞清 深度学习大讲堂 点击上方“深度学习大讲堂”可订阅哦!深度学习大讲堂是高质量原创内容的平台,邀请学术界、工业界一线专家撰稿,致力于推送人工智能与深度学习最新技术、产品和活动信息! 开始本文之前,我们首先看上方给出的3张图片,它们分别是同一 阅读全文
posted @ 2016-09-05 20:18 AHU-WangXiao 阅读(5715) 评论(0) 推荐(1) 编辑
摘要: Analyzing The Papers Behind Facebook's Computer Vision Approach Introduction You know that company called Facebook? Yeah, the one that has 1.6 billion 阅读全文
posted @ 2016-09-04 00:19 AHU-WangXiao 阅读(387) 评论(0) 推荐(0) 编辑
摘要: 8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset by Jason Brownlee on August 19, 2015 in Machine Learning Process Has this happ 阅读全文
posted @ 2016-09-02 23:54 AHU-WangXiao 阅读(701) 评论(0) 推荐(0) 编辑
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posted @ 2016-09-01 15:10 AHU-WangXiao 阅读(7) 评论(0) 推荐(0) 编辑
摘要: 本文转自:http://www.cosmosshadow.com/ml/%E5%BA%94%E7%94%A8/2015/12/07/%E7%89%A9%E4%BD%93%E6%A3%80%E6%B5%8B.html 物体检测 Index RCNN Fast RCNN Faster RCNN R-FC 阅读全文
posted @ 2016-08-31 23:42 AHU-WangXiao 阅读(3346) 评论(0) 推荐(0) 编辑
摘要: 本文转自:http://www.cosmosshadow.com/ml/%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/2016/03/08/Attention.html Attention Index 参考列表 Attention Attention在视觉上的递归模型 模 阅读全文
posted @ 2016-08-30 23:51 AHU-WangXiao 阅读(1013) 评论(0) 推荐(0) 编辑
摘要: awesome-very-deep-learning is a curated list for papers and code about implementing and training very deep neural networks. Deep Residual Learning Dee 阅读全文
posted @ 2016-08-30 23:47 AHU-WangXiao 阅读(869) 评论(0) 推荐(0) 编辑
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posted @ 2016-08-30 22:16 AHU-WangXiao 阅读(5) 评论(0) 推荐(0) 编辑
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posted @ 2016-08-29 09:18 AHU-WangXiao 阅读(2) 评论(0) 推荐(0) 编辑
摘要: Learning from Imbalanced Classes AUGUST 25TH, 2016 If you’re fresh from a machine learning course, chances are most of the datasets you used were fair 阅读全文
posted @ 2016-08-27 23:28 AHU-WangXiao 阅读(1176) 评论(0) 推荐(0) 编辑
摘要: Adit Deshpande CS Undergrad at UCLA ('19) Blog About Adit Deshpande CS Undergrad at UCLA ('19) Blog About Adit Deshpande CS Undergrad at UCLA ('19) Ad 阅读全文
posted @ 2016-08-25 23:04 AHU-WangXiao 阅读(291) 评论(0) 推荐(0) 编辑
摘要: Adit Deshpande CS Undergrad at UCLA ('19) Blog About Adit Deshpande CS Undergrad at UCLA ('19) Blog About Adit Deshpande CS Undergrad at UCLA ('19) Ad 阅读全文
posted @ 2016-08-25 23:03 AHU-WangXiao 阅读(345) 评论(0) 推荐(0) 编辑
摘要: Semi-Supervised Learning with Generative Adversarial Networks 引言:本文将产生式对抗网络(GAN)拓展到半监督学习,通过强制判别器来输出类别标签。我们在一个数据集上训练一个产生式模型 G 以及 一个判别器 D,输入是N类当中的一个。在训练 阅读全文
posted @ 2016-08-25 01:01 AHU-WangXiao 阅读(5494) 评论(0) 推荐(0) 编辑
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posted @ 2016-08-24 10:34 AHU-WangXiao 阅读(1) 评论(0) 推荐(0) 编辑
摘要: 本文转自:http://geek.csdn.net/news/detail/96636 现代C++函数式编程 C++ 函数式编程 pipeline 开发经验 柯里化 阅读2127 作者简介: 祁宇,武汉烽火云创软件技术有限公司研发中心技术总监,《深入应用C++11》作者,C++开源社区purecpp 阅读全文
posted @ 2016-08-22 23:19 AHU-WangXiao 阅读(16874) 评论(0) 推荐(2) 编辑
摘要: Applied Deep Learning Resources A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings. Inclu 阅读全文
posted @ 2016-08-22 23:14 AHU-WangXiao 阅读(619) 评论(0) 推荐(0) 编辑
摘要: Awesome Deep Vision A curated list of deep learning resources for computer vision, inspired by awesome-php and awesome-computer-vision. Maintainers -  阅读全文
posted @ 2016-08-22 23:13 AHU-WangXiao 阅读(965) 评论(3) 推荐(1) 编辑
摘要: awesome-nlp A curated list of resources dedicated to Natural Language Processing Maintainers - Keon Kim, Martin Park Please read the contribution guid 阅读全文
posted @ 2016-08-22 23:09 AHU-WangXiao 阅读(667) 评论(0) 推荐(0) 编辑
摘要: Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with 阅读全文
posted @ 2016-08-22 23:08 AHU-WangXiao 阅读(4019) 评论(0) 推荐(0) 编辑
摘要: Awesome Machine Learning A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php. If you 阅读全文
posted @ 2016-08-22 23:08 AHU-WangXiao 阅读(1071) 评论(0) 推荐(0) 编辑
摘要: 参考博文:http://www.linuxidc.com/Linux/2016-07/133213.htm ==>> Check Passed, the num of bbox and frames are equal ...qlua: ...iao/torch/install/share/lua/ 阅读全文
posted @ 2016-08-22 14:56 AHU-WangXiao 阅读(1143) 评论(0) 推荐(0) 编辑
摘要: Awesome Reinforcement Learning A curated list of resources dedicated to reinforcement learning. We have pages for other topics: awesome-rnn, awesome-d 阅读全文
posted @ 2016-08-16 23:12 AHU-WangXiao 阅读(821) 评论(0) 推荐(0) 编辑
摘要: Spatially Supervised Recurrent Convolutional Neural Networks for Visual Object Tracking arXiv Paper Project Page:http://guanghan.info/projects/ROLO/ G 阅读全文
posted @ 2016-08-16 00:22 AHU-WangXiao 阅读(2442) 评论(0) 推荐(0) 编辑
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posted @ 2016-08-13 15:49 AHU-WangXiao 阅读(3) 评论(0) 推荐(0) 编辑
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posted @ 2016-08-12 16:39 AHU-WangXiao 阅读(7) 评论(0) 推荐(0) 编辑
摘要: End-to-End Localization and Ranking for Relative Attributes arXiv Paper 摘要:本文提出一种 end-to-end 的属性识别方法,能够同时定位和相对属性的排序(simultaneously localize and rank r 阅读全文
posted @ 2016-08-10 11:55 AHU-WangXiao 阅读(729) 评论(0) 推荐(0) 编辑