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Review-for-Paper

ML论文翻译

http://www.jianshu.com/nb/8413272

metric learning 的总结

http://blog.csdn.net/langb2014/article/details/53036216

TensorFlow安装指南(Centos 7&Windows)及DCGAN demo测试

http://blog.csdn.net/yexiaogu1104/article/details/69055802

Tensorflow一些常用基本概念与函数(4)

http://blog.csdn.net/lenbow/article/details/52218551

gensim的LDA

http://nbviewer.jupyter.org/gist/boskaiolo/cc3e1341f59bfbd02726

cython的window技术

https://github.com/cython/cython/wiki/CythonExtensionsOnWindows

目标检测方面的技术发展。

https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

你应该知道的9篇深度学习论文(CNNs 理解)

http://blog.csdn.net/feimengjuan/article/details/69666981

cs231n学习笔记-CNN-目标检测、定位、分割

http://blog.csdn.net/myarrow/article/details/51878004

GAN论文汇总,包含code

https://github.com/zhangqianhui/AdversarialNetsPapers

https://github.com/AlexiaJM/Deep-learning-with-cats

基于deep learning的快速图像检索(Deep Learning of Binary Hash Codes for Fast Image Retrieval)

http://blog.csdn.net/u013087984/article/details/52023671

图像检索:再叙ANN Search以及图像检索相关

http://yongyuan.name/blog/ann-search.html

图像检索的相关论文

https://github.com/willard-yuan/awesome-cbir-papers

https://github.com/deepinsight/deepinsight.github.io/blob/06a2c1986534abf449a717a47a047a4da740f067/_posts/deep_learning/2017-05-08-retrieval.md

Deep哈希算法介绍

https://zhuanlan.zhihu.com/p/21396173

用 TensorFlow 压缩神经网络

http://fjdu.github.io/machine/learning/2016/07/07/quantize-neural-networks-with-tensorflow.html http://blog.csdn.net/linmingan/article/details/51008830

视频描述

www.cs.utexas.edu/~vsub/

OCR的技术集合(attention ocr)

https://github.com/tongpi/basicOCR

https://github.com/wanghaisheng/awesome-ocr

https://handong1587.github.io/deep_learning/2015/10/09/ocr.html

http://blog.csdn.net/u010183397/article/details/56497303

数据结构算法与应用——C++语言描述,Sahni著,源代码和习题答案

https://www.cise.ufl.edu/~sahni/dsaac/

http://www.cnblogs.com/lfsblack/archive/2012/11/10/2764334.html

http://www.cplusplus.com/reference/vector/vector/

http://blog.csdn.net/gogokongyin/article/details/51178378

NLP的论文博客

http://www.wildml.com/

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