资源网站

https://www.slideshare.net 不错的课程资源。http://www.allitebooks.com/ 免费电子书https://www.oschina.net/project 开源项目http://www.manong5.com/ 码农网，（全站资源免费下载）http://www.w3cschool.cn/python/ [各种语言学习]http://www.runoob.com/python/python-tutorial.html [语言学习]http://www.imooc.com/ [慕课网]http://python.usyiyi.cn/ [python官方教程]http://www.iplaypy.com/jichu/ [python基础教程]http://www.sciencebooksonline.info/mathematics/probability-statistics.html [科学书籍在线，有关于数学的很多书籍，包括概率论，线性代数，更深的内容]https://www.statlect.com/ [The Digital Textbook,如关于概率的所有概念]https://tensortalk.com/ [TensorTalk - Latest AI Code]http://gitxiv.com/ [GitXiv- code]http://www.wolfram.com/language/fast-introduction-for-programmers/zh/ [Wolfram 语言：快速编程入门]https://arxiv.org/list/stat.ML/recent [arxiv]https://www.aikeji.tk/?p=13 [google hosts 2017 持续更新]https://openreview.net/ ICLR 2017https://www.kairos.com/blog/60-facial-recognition-databases [60个人脸数据库]http://www.face-rec.org/databases/ [人脸数据库]https://ibug.doc.ic.ac.uk/resources i-bug 面部特征点和表情http://www.inference.vc/ 博客https://davidbarber.github.io/ 博客https://github.com/mrgloom/CNN-heatmap CNN heatmaphttp://www.erogol.com/cnn-visualization-tools-techniques/ Some CNN visualization tools and techniqueshttps://ramprs.github.io/2017/01/21/Grad-CAM-Making-Off-the-Shelf-Deep-Models-Transparent-through-Visual-Explanations.html 卷积神经网络的可视化https://www.cnblogs.com/zjutzz/p/6185452.html python 读取caffemodelhttp://keras-cn.readthedocs.io/en/latest/ keras 中文文档https://github.com/facebookresearch/Detectron/blob/master/INSTALL.md [Detectron]. Mask-r-cnn, faster-r-cnn,fast-r-cnn,r-cnn.http://warmspringwinds.github.io/ [Daniil’s blog Machine Learning and Computer Vision artisan] 29 http://www.letpub.com.cn/index.php?page=journalapp SCI期刊查询https://www.jianshu.com/p/ab1ebddf58b1 Faster RCNN的详解。http://wiki.ubuntu.org.cn/跟我一起写Makefile [跟我一起写makefile]http://variational-bayes-book.readthedocs.io/en/latest/index.html 变分贝叶斯方法https://www.quora.com/ 美国知乎http://pytorch.apachecn.org/cn/0.3.0/index.html pytorch 中文文档https://papers.nips.cc/ NIPS顶会网址https://pypi.org/project/torchvision/ torchvision下载地址http://www.pytorchtutorial.com/ pytorch中文网https://github.com/ysh329/deep-learning-model-convertor 深度模型转换器（all）https://www.lfd.uci.edu/~gohlke/pythonlibs/ [Unofficial Windows Binaries for Python Extension Packages]https://arxiv.org/search/advanced [arxiv论文]http://www.cnblogs.com/hellcat/tag/PyTorch/ [pytorch学习博客]http://www.ijcai.org/Proceedings/2017/ [IJCAI] 改变相应的年份，获得相应年份的文章https://github.com/handong1587/handong1587.github.io/tree/master/_posts/deep_learning [文章分类收集的很全面]https://linux.linuxidc.com/index.php [linux免费电子资料下载地址]http://www.6453.net/ 大木虫 学术导航http://www.dnbbn.com/ 这牛帮帮你 [Office, Windows]https://msdn.itellyou.cn/ [常用软件下载]http://www.yishimei123.com/ [常用软件下载]https://chrome.google.com/webstore/category/extensions [chrome插件]http://openaccess.thecvf.com/content_ECCV_2018/html/ [ECCV2018]http://mmlab.ie.cuhk.edu.hk/projects/WIDERFace/index.html [人脸检测的性能比较】集成方法：The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classificationhttps://github.com/BUPTLdy/Caffe_Code_Analysis 【Caffe代码解析】https://docs.nvidia.com/cuda/turing-compatibility-guide/index.htmlhttps://www.python.org/downloads/windows/ python release for windowshttps://amds123.github.io/ 搜集的arXiv的论文网址。