https://github.com/lymdlut/deeplearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial
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深度学习入门教程, 优秀文章, Deep Learning Tutorial
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Host: GitHub
Owner: LYMDLUT
License: apache-2.0
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Fork of Mikoto10032/DeepLearning
Created about 4 years ago · Last pushed about 4 years ago
https://github.com/LYMDLUT/DeepLearning/blob/master/

# 		DeepLearning Tutorial
## . 

[** AI **](https://zhuanlan.zhihu.com/p/64052743) :star:

[AiLearning:  - MachineLearning - ML - DeepLearning - DL NL](https://github.com/apachecn/AiLearning)

[Machine-Learning](https://github.com/shunliz/Machine-Learning)

### 

![](notes/Images/MathematicalBasis.png)

* [](https://zh.wikipedia.org/wiki/%E7%9F%A9%E9%98%B5%E5%BE%AE%E7%A7%AF%E5%88%86)
* [](https://github.com/fengdu78/Data-Science-Notes/tree/master/0.math/0.basic)
* [CS229](https://github.com/fengdu78/Data-Science-Notes/tree/master/0.math/1.CS229)

### 

#### 
* [](http://www.tensorinfinity.com/paper_18.html)
* [  Coursera](https://github.com/Mikoto10032/DeepLearning/blob/master/books/%5BML-Coursera%5D%5B2014%5D%5BAndrew%20Ng%5D/%5B2014%5D%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%B8%AA%E4%BA%BA%E7%AC%94%E8%AE%B0%E5%AE%8C%E6%95%B4%E7%89%88v5.1.pdf) && [](https://www.coursera.org/learn/machine-learning) 
* [CS229 ](https://kivy-cn.github.io/Stanford-CS-229-CN/#/) && [  cs229](https://github.com/Mikoto10032/DeepLearning/blob/master/books/%5BML-CS229%5D%5B2011%5D%5BAndrew%20NG%5D/%5B2011%5D%E6%96%AF%E5%9D%A6%E7%A6%8F%E5%A4%A7%E5%AD%A6%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%AF%BE%E7%A8%8B%E4%B8%AA%E4%BA%BA%E7%AC%94.pdf) && [](http://cs229.stanford.edu/) && [](http://open.163.com/newview/movie/free?pid=M6SGF6VB4&mid=M6SGHFBMC)  
* [](http://themlbook.com/wiki/doku.php)

#### 
* [](https://github.com/Mikoto10032/DeepLearning/tree/master/books/%E6%9D%8E%E8%88%AA-%E7%BB%9F%E8%AE%A1%E5%AD%A6%E4%B9%A0) && [](https://www.cnblogs.com/YongSun/tag/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/) && [](https://zhuanlan.zhihu.com/c_1213397558586257408) && [statistical-learning-method-solutions-manual](https://github.com/datawhalechina/statistical-learning-method-solutions-manual)  [](https://www.cnblogs.com/liaohuiqiang/category/1039314.html) &&  [](https://blog.csdn.net/breeze_blows/article/details/85469944)
* [ Christopher Bishop](https://github.com/Mikoto10032/DeepLearning/blob/master/books/PRML_Chinese_vision.pdf)
* [ ](https://github.com/Mikoto10032/DeepLearning/blob/master/books/.pdf)    && [pumpkin-book](https://github.com/datawhalechina/pumpkin-book)
* [ PelerHarrington](https://github.com/Mikoto10032/DeepLearning/blob/master/books/%20.pdf)
* [](https://mp.weixin.qq.com/s?__biz=MzAxMjcyNjE5MQ==&mid=2650488718&idx=1&sn=815a79d27d500f0fb8db1fe1fc6cfe48&chksm=83a2e54eb4d56c58a0989654f920d64ad2784ce52e4b2bc6883974257cf475c9983f05fb88c1&scene=0&xtrack=1&ascene=14&devicetype=android-28&version=27000339&nettype=WIFI&abtest_cookie=AwABAAoACwATAAQAI5ceAFaZHgDQmR4A3JkeAAAA&lang=zh_CN&pass_ticket=oEB1108Pes6HkdxEITmBjTb2Glju5%2BEGqHZKz50fMg0rgK4l9Fodlbe%2FDm96iX57&wx_header=1)

### 

#### 
* [](https://github.com/dformoso/deeplearning-mindmap)	&& [](http://www.tensorinfinity.com/paper_158.html)
* [ Andrew Ng](https://github.com/Mikoto10032/DeepLearning/blob/master/books/-.pdf)  
* [  ](http://www.ai-start.com/dl2017/) && [](http://mooc.study.163.com/smartSpec/detail/1001319001.htm)
* [MIT-2019](https://deeplearning.mit.edu/)
* [NTU](http://speech.ee.ntu.edu.tw/~tlkagk/index.html) && [[leeml-notes](https://github.com/datawhalechina/leeml-notes)
* [_Grokking-Deep-Learning](https://github.com/iamtrask/Grokking-Deep-Learning)
* [ Michael Nielsen](https://github.com/Mikoto10032/DeepLearning/blob/master/books/neural%20networks%20and%20deep-learning-_ALL.pdf)   
* [ CS321-Hinton](http://www.cs.toronto.edu/~tijmen/csc321/)
* [ CS230: Deep Learning](https://web.stanford.edu/class/cs230/)		
* [ CS294-112](http://rail.eecs.berkeley.edu/deeprlcourse/resources/)

##### 
* [CS231  ](https://zhuanlan.zhihu.com/p/21930884) && [](http://study.163.com/course/courseMain.htm?courseId=1003223001)
* [](https://mp.weixin.qq.com/s/WNkzfvYtEO5zJoe_-yAPow)

##### 
* [CS224n: Natural Language Processing with Deep Learning](http://web.stanford.edu/class/cs224n/index.html)
* [NLP](https://github.com/FudanNLP/nlp-beginner)
* [NLP2019](https://zhuanlan.zhihu.com/p/58874484)

##### 
* [CS234: Reinforcement Learning](http://web.stanford.edu/class/cs234/index.html)

#### 
* [ Yoshua Bengio.Ian GoodFellow](https://github.com/Mikoto10032/DeepLearning/blob/master/books/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0.Yoshua%20Bengio%2BIan%20GoodFellow.pdf):star:      
* [Jacob Eisenstein](https://github.com/Mikoto10032/DeepLearning/blob/master/books/%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86.Jacob%20Eisenstein.pdf)		
* [](https://github.com/Mikoto10032/DeepLearning/blob/master/books/Reinforcement%20Learning.Sutton.pdf) && [](http://incompleteideas.net/book/RLbook2018trimmed.pdf)	
* [hangdong,](https://handong1587.github.io/categories.html#deep_learning-ref)
* [Practical Deep Learning for Coders, v3](https://course.fast.ai/)
* [TensorflowGoogle  ](https://github.com/Mikoto10032/DeepLearning/blob/master/books/Tensorflow%20Google.pdf)

#### 

* [2019-Pytorch](https://zhuanlan.zhihu.com/p/63784033)

### 

![](https://pic4.zhimg.com/v2-009013278688f520c070b27910255cb1_r.jpg)

* [](https://www.zhihu.com/question/20588261/answer/798928056) && [LeetCode](https://leetcode.com/) && [leetcode](https://github.com/azl397985856/leetcode) && [C++](https://github.com/huaxz1986/cplusplus-_Implementation_Of_Introduction_to_Algorithms)
* [](#)
* [](#)
* [](https://mp.weixin.qq.com/s/YMtnBAVDZepsMTO4h-VRtQ) && [](https://mp.weixin.qq.com/s?__biz=MzAxMjcyNjE5MQ==&mid=2650488786&idx=1&sn=68b9536d0b0b3105ab8d79f8efcb0a4b&chksm=83a2e512b4d56c045c6ab0349108842e6a5b26e8f3e507ff5d19ee50e3bd63ef149a36d23eef&scene=0&xtrack=1&ascene=14&devicetype=android-28&version=27000437&nettype=WIFI&abtest_cookie=BAABAAoACwASABMABgAjlx4AVpkeANCZHgDcmR4A8ZkeAAOaHgAAAA%3D%3D&lang=zh_CN&pass_ticket=4yovfEr0v09yZCvvQ1NEy12qGIonnRpGi774X09Mh5EZD2oL%2BRz6FTtX9R5gALB1&wx_header=1) && [](https://zhuanlan.zhihu.com/p/54161673) :star:
* [](https://zhuanlan.zhihu.com/p/89392459)
* [AI](http://www.huaxiaozhuan.com/)
* [offer](https://zhuanlan.zhihu.com/p/76827460)
* [CV25](https://mp.weixin.qq.com/s/HZ3Cd2jHuikyFN9ydvcMTw)
* [ ](https://github.com/CyC2018/CS-Notes) && [CS-WiKi](https://veal98.gitee.io/cs-wiki/#/) && [](https://github.com/wolverinn/Waking-Up) && [TeachYourselfCS-CN](https://github.com/keithnull/TeachYourselfCS-CN) && [-](https://github.com/imhuay/Algorithm_for_Interview-Chinese) 
* [](https://github.com/DarLiner/Algorithm_Interview_Notes-Chinese)
* [](https://github.com/ShanghaiTechAIClub/DLInterview)
* [500](https://github.com/scutan90/DeepLearning-500-questions)
* [AI](https://github.com/amusi/AI-Job-Notes#Strategy)
* [Kaggle]()
  * 
    * Feature Engineeringcontinue variable && categorical variable
    * Classic machine learning algorithmLR, KNN, SVM, Random Forest, GBDT(XGBoost&&LightGBM), Factorization Machine, Field-aware Factorization Machine, Neural Network
    * Cross validation, model selectiongrid search, random search, hyper-opt
    * Ensemble learning
  * [kaggle-:star:](https://mp.weixin.qq.com/s/EGiFG6u9BYr1aBdq0a0wIQ)
  * [Kaggle  =  +  + ](https://github.com/apachecn/kaggle)
  * [Kaggle](https://zhuanlan.zhihu.com/p/29086448) && [KaggleKaggle](https://zhuanlan.zhihu.com/p/29417603) && [KaggleTitanic](https://zhuanlan.zhihu.com/p/29086614)
  * [ 0  1  Kaggle](https://zhuanlan.zhihu.com/p/61660061) 
  * [Kaggle ](https://zhuanlan.zhihu.com/p/25742261) 
  * [](https://zhuanlan.zhihu.com/p/61657532) && [Approaching (Almost) Any Machine Learning Problem | Abhishek Thakur](http://blog.kaggle.com/2016/07/21/approaching-almost-any-machine-learning-problem-abhishek-thakur/)
  * [Kaggle Top 1%](https://zhuanlan.zhihu.com/p/27424282)
  * [Kaggletop 2%](https://zhuanlan.zhihu.com/p/48758045) 
  * [ Kaggle  10%](https://zhuanlan.zhihu.com/p/27486736)
  * [Kaggle  Top 2%, APTOS 2019  + ](http://bbs.cvmart.net/topics/1717)
  * [kaggleriiid](https://zhuanlan.zhihu.com/p/344388290)
* [&](https://blog.csdn.net/weixin_33739541/article/details/87565983)

## . 		

* [1. 25](https://blog.csdn.net/qq_35082030/article/details/73368962)
* [2. DNN](https://zhuanlan.zhihu.com/p/29141828)
* [3. colah's blog](http://colah.github.io/)
* [4. Model Zoom](https://modelzoo.co/)
* [5. DNN](https://zhuanlan.zhihu.com/p/29141828)
* [GitHub/](https://zhuanlan.zhihu.com/p/60245227)
* [AlphaTree-graphic-deep-neural-network](https://github.com/weslynn/AlphaTree-graphic-deep-neural-network)

### CNN

#### 

* [94](https://zhuanlan.zhihu.com/p/35388569)

##### 

* [LeNet-5DenseNet](https://zhuanlan.zhihu.com/p/31006686)      
* [ Inception, Xception, MobileNet, ShuffeNet, ResNeXt, SqueezeNet, EfficientNet, MixConv](https://www.cnblogs.com/xuanyuyt/p/11329998.html)
* [CNN](https://zhuanlan.zhihu.com/p/68411179)
* [Awesome - Image Classification&&](https://github.com/weiaicunzai/awesome-image-classification)
* [pytorch-image-models](https://github.com/rwightman/pytorch-image-models)

##### 

- [Mask R-CNN](https://zhuanlan.zhihu.com/p/32830206)      
- [Faster R-CNNR-FCNSSD](https://zhuanlan.zhihu.com/p/29434605)      
- [RCNNSSD](https://zhuanlan.zhihu.com/p/36184131)    
- [](https://zhuanlan.zhihu.com/p/40047760)
  - [](https://zhuanlan.zhihu.com/p/40047760)
  - [](https://zhuanlan.zhihu.com/p/40020809)
  - [](https://zhuanlan.zhihu.com/p/40102001)
- [From RCNN to YOLOv3]()[](https://zhuanlan.zhihu.com/p/35724768)[](https://zhuanlan.zhihu.com/p/35731743)
- [ R-CNN Faster R-CNNSSDYOLO Faster R-CNN](https://zhuanlan.zhihu.com/p/38709522)
- [](https://zhuanlan.zhihu.com/p/60590369)
- [CVPR2019](https://zhuanlan.zhihu.com/p/59376548)
- [21/Google/////CMU//](https://zhuanlan.zhihu.com/p/61080508)
- [](https://zhuanlan.zhihu.com/p/82491218)
- [Anchor-Free](): [arxiv2015_baidu_DenseBox](https://zhuanlan.zhihu.com/p/40221183) [anchor-freeFoveaBox](https://www.zhihu.com/question/319605567/answer/647844997), [FCOS: one-stage](https://zhuanlan.zhihu.com/p/61644900) && [Anchor-FreeFCOS](https://zhuanlan.zhihu.com/p/62198865) && [CenterNetone-stage detector47AP](https://zhuanlan.zhihu.com/p/62789701) && [AnchorFreeDetection](https://github.com/VCBE123/AnchorFreeDetection)
- [Anchor free](https://zhuanlan.zhihu.com/p/64563186)
- [Anchor""](https://zhuanlan.zhihu.com/p/63273342)&&[Anchor""](https://zhuanlan.zhihu.com/p/68291859)
- [FPN](https://zhuanlan.zhihu.com/p/62975854) && [FPN](https://zhuanlan.zhihu.com/p/148738276)
- [awesome-object-detection&&](https://github.com/amusi/awesome-object-detection)
- [deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection)
- [ObjectDetectionImbalance](https://github.com/kemaloksuz/ObjectDetectionImbalance)

##### 

* [(Semantic segmentation) Survey](https://zhuanlan.zhihu.com/p/36801104)
* [ | ](https://blog.csdn.net/qq_20084101/article/details/80432960)
* [ ](https://zhuanlan.zhihu.com/p/37618829)       
* [9102](https://zhuanlan.zhihu.com/p/76603228)
* [Mask R-CNNBlendMask](https://zhuanlan.zhihu.com/p/110132002)
* [](https://zhuanlan.zhihu.com/p/133212654)
* [Awesome Semantic Segmentation&&](https://github.com/mrgloom/awesome-semantic-segmentation)
* [](https://zhuanlan.zhihu.com/p/110123136)
* [](https://zhuanlan.zhihu.com/p/142451150)

##### 

- [SqueezeNetMobileNetShuffleNetXception](https://zhuanlan.zhihu.com/p/32746221)   

##### 

* [ | ](https://zhuanlan.zhihu.com/p/35295839)    
* []()   
    * [ ](https://zhuanlan.zhihu.com/p/36621308)     
    * [](https://zhuanlan.zhihu.com/p/32702868)
    * [](https://zhuanlan.zhihu.com/p/36416906)
    * [CascadeCNN](https://blog.csdn.net/shuzfan/article/details/50358809) 
    * [MTCNN](https://blog.csdn.net/qq_14845119/article/details/52680940)
    * [awesome-Face_Recognition](https://github.com/ChanChiChoi/awesome-Face_Recognition)
    * [](https://zhuanlan.zhihu.com/p/64191484)
    * [+](https://zhuanlan.zhihu.com/p/26431250)&& [Python](https://zhuanlan.zhihu.com/p/33456076) && [](https://www.jianshu.com/p/e57205edc364)
    * [](https://zhuanlan.zhihu.com/p/24816781) && [](https://zhuanlan.zhihu.com/p/35295839) && [](https://zhuanlan.zhihu.com/p/51324547) && [Face Recognition Loss on Mnist with Pytorch](https://zhuanlan.zhihu.com/p/64427565) && [LOSS](https://zhuanlan.zhihu.com/p/34404607) && [LOSS](https://zhuanlan.zhihu.com/p/34436551)
* []()
    * [CV ](https://zhuanlan.zhihu.com/p/88344339)
    * [](https://mp.weixin.qq.com/s/CvdeV5xgUF0kStJQdRst0w)
    * [](https://zhuanlan.zhihu.com/p/42968117)
    * [4 | ](https://zhuanlan.zhihu.com/p/62824113)
    * [Face key point detection](https://zhuanlan.zhihu.com/p/52525598)
    * [OpenCVFaceMark](https://zhuanlan.zhihu.com/p/35390012)
    * [CenterFace+TensorRT400fps](https://zhuanlan.zhihu.com/p/106774468)

##### 

* [](https://zhuanlan.zhihu.com/p/57564211)
* [SRCNNEDSR](https://zhuanlan.zhihu.com/p/31664818)

##### 

* [CVPR2019](https://zhuanlan.zhihu.com/p/62843442)
* [CVPR2019](https://zhuanlan.zhihu.com/p/62843442)[2019 ](https://zhuanlan.zhihu.com/p/64004977)

##### 

* [Awesome-Image-Colorization](https://github.com/MarkMoHR/Awesome-Image-Colorization)

##### 

* [Awesome-Edge-Detection-Papers](https://github.com/MarkMoHR/Awesome-Edge-Detection-Papers)

##### OCR&&

* [2019CVPR](https://zhuanlan.zhihu.com/p/67319122)
* [OCR](https://zhuanlan.zhihu.com/p/65707543)
* [](https://mp.weixin.qq.com/s?__biz=MzU4MjQ3MDkwNA==&mid=2247485142&idx=1&sn=c0e01da30eb5e750be453eabe4be2bf4&chksm=fdb69b41cac11257ae22c7dac395e9651dab628fc35dd6d3c02d9566a8c7f5f2b56353d58a64&token=1065243837&lang=zh_CN#rd)

##### 

* [awesome-point-cloud-analysis](https://zhuanlan.zhihu.com/p/65690433)

##### 

* [](https://zhuanlan.zhihu.com/p/73542103)

##### 

* [](https://mp.weixin.qq.com/s/sM78DCOK3fuG2JrP2QaSZA)[](https://mp.weixin.qq.com/s/yzVMDEpwbXVS0y-CwWSBEA)

##### 

* [](http://chuansong.me/n/443237851736), [1](https://www.cnblogs.com/wmr95/p/8134692.html), [2](https://blog.csdn.net/u011285477/article/details/51954989), [3](https://blog.csdn.net/qingqingdeaini/article/details/79922549)

#### 

##### 

* [](https://zhuanlan.zhihu.com/p/59385110)

##### 

* [](https://zhuanlan.zhihu.com/p/30567264) && [](https://www.cnblogs.com/XDU-Lakers/p/10557496.html)
* [](https://www.zhihu.com/question/67366051)

##### 

* [](https://blog.csdn.net/u014313009/article/details/51039334)
* [BP](https://zhuanlan.zhihu.com/p/24801814)

##### 

* [](https://zhuanlan.zhihu.com/p/25631496)
* [](https://www.jianshu.com/p/3f35e555d5ba)
* [](https://zhuanlan.zhihu.com/p/33006526) && [](https://blog.csdn.net/program_developer/article/details/80032376)

##### 

* [A Comprehensive Introduction to Different Types of Convolutions in Deep Learning](https://towardsdatascience.com/a-comprehensive-introduction-to-different-types-of-convolutions-in-deep-learning-669281e58215) && [](https://www.leiphone.com/news/201902/D2Mkv61w9IPq9qGh.html)[](https://www.leiphone.com/news/201902/biIqSBpehsaXFwpN.html?uniqueCode=OTEsp9649VqJfUcO)
* [](https://zhuanlan.zhihu.com/p/57575810)
* [](https://www.cnblogs.com/cvtoEyes/p/8848815.html)
* [Convolution Network](https://www.cnblogs.com/yangperasd/p/7071657.html)
* [--](https://zhuanlan.zhihu.com/p/59839551)
* [](https://zhuanlan.zhihu.com/p/28749411)
* [](https://blog.csdn.net/chaolei3/article/details/79374563)
* [](https://buptldy.github.io/2016/10/29/2016-10-29-deconv/) 
* [Dilated/Atrous conv /](https://blog.csdn.net/silence2015/article/details/79748729)
* [ SAME  VALID](https://blog.csdn.net/weixin_37697191/article/details/89527315) && [full, same, validpaddingsame, valid](https://zhuanlan.zhihu.com/p/62760780)
* [](https://blog.csdn.net/qq_43232545/article/details/103317773)
* [Tensorflowtf.nn.depthwise_conv2d?](https://blog.csdn.net/mao_xiao_feng/article/details/78003476)	
* [Tensorflowtf.nn.atrous_conv2d](https://blog.csdn.net/mao_xiao_feng/article/details/78003730)
* [Tensorflowtf.nn.separable_conv2d?](https://blog.csdn.net/mao_xiao_feng/article/details/78002811)	
* [TensorFlowtf.nn.conv2d_transpose](https://blog.csdn.net/mao_xiao_feng/article/details/71713358)

##### 

* [](https://zhuanlan.zhihu.com/p/112216409)

##### 

- [](https://www.zhihu.com/question/39022858)
- [: ](https://zhuanlan.zhihu.com/p/28863709)
- [1x1](https://zhuanlan.zhihu.com/p/40050371)
- [addconcate](https://blog.csdn.net/xiaojiajia007/article/details/86008415) && [concatconcat?](https://www.zhihu.com/question/389912594/answer/1178054600)
- [CNN flopsparameters](https://www.zhihu.com/question/65305385) && [](https://www.cnblogs.com/hejunlin1992/p/12978988.html)

##### 

* [CNNLeNet](https://zhuanlan.zhihu.com/p/41736894)
* [ | Alexnet](https://zhuanlan.zhihu.com/p/22659166)
* [VGG](https://zhuanlan.zhihu.com/p/41423739)
* [Inception V1,V2,V3,V4 ](https://zhuanlan.zhihu.com/p/52802896)
* [ResNet](https://blog.csdn.net/lanran2/article/details/79057994)
* [ResNet](https://zhuanlan.zhihu.com/p/35985680)
* [CapsNet](http://mp.weixin.qq.com/s?__biz=MzI3ODkxODU3Mg==&mid=2247484099&idx=1&sn=97e209f1a9860c8d8c51e81d98fc8a0a&chksm=eb4ee600dc396f16624a33cdfc0ead905e62ae9447b49b20146020e6cbd7d71f089101512a40&scene=21#wechat_redirect)
  - [CapsNet](http://mp.weixin.qq.com/s?__biz=MzI3ODkxODU3Mg==&mid=2247484099&idx=1&sn=97e209f1a9860c8d8c51e81d98fc8a0a&chksm=eb4ee600dc396f16624a33cdfc0ead905e62ae9447b49b20146020e6cbd7d71f089101512a40&scene=21#wechat_redirect)
  - [CapsNet](http://mp.weixin.qq.com/s?__biz=MzI3ODkxODU3Mg==&mid=2247484165&idx=1&sn=0ca679e3a5f499f8d8addb405fe3df83&chksm=eb4ee7c6dc396ed0a330fcac12690110bcaf9a8a10794dbc5e1a326c69ecbb140140f55fd6ba&scene=21#wechat_redirect)
  - [CapsNet](http://mp.weixin.qq.com/s?__biz=MzI3ODkxODU3Mg==&mid=2247484433&idx=1&sn=3afe4605bc2501eebbc41c6dd1af9572&chksm=eb4ee0d2dc3969c4619d6c1097d5c949c76c6c854e60d36eba4388da2c3855747818d062c90a&scene=21#wechat_redirect)
  - [CapsNet](https://mp.weixin.qq.com/s/6CRSen8P6zKaMGtX8IRfqw)
* [MobileNetShuffleNet](https://zhuanlan.zhihu.com/p/158591662)
* [CNNShuffleNet](https://zhuanlan.zhihu.com/p/32304419)
* [ShuffleNet V2](https://zhuanlan.zhihu.com/p/40980942)
* [ResNeXt ](https://zhuanlan.zhihu.com/p/78019001)
* [Momenta ImageNet 2017SENet?](https://www.zhihu.com/question/63460684)
* [CBAM](https://zhuanlan.zhihu.com/p/79419670) && [CBAM: Convolutional Block Attention Module](https://zhuanlan.zhihu.com/p/65529934)
* [SKNetSENet](https://zhuanlan.zhihu.com/p/59690223)
* [GCNetNon-localSENet](https://zhuanlan.zhihu.com/p/64988633)
* [ Inception, Xception, MobileNet, ShuffeNet, ResNeXt, SqueezeNet, EfficientNet, MixConv](https://www.cnblogs.com/xuanyuyt/p/11329998.html)
* [Octave Convolution](https://www.zhihu.com/question/320462422)
* [ResNeSt ](https://zhuanlan.zhihu.com/p/136105870) && [ResNeSt](https://zhuanlan.zhihu.com/p/133805433) && [ResNeStECCV2020 strong reject](https://zhuanlan.zhihu.com/p/143214871)

##### 

* [](https://zhuanlan.zhihu.com/p/70306015) && [NMSmAPIoU ](https://zhuanlan.zhihu.com/p/75348108) && [mAP](https://zhuanlan.zhihu.com/p/60834912) && [mAP(](https://zhuanlan.zhihu.com/p/37910324)
* [IUIoU(Intersection over Union)](https://blog.csdn.net/iamoldpan/article/details/78799857)
* [Selective Search for Object Detection ](https://www.learnopencv.com/selective-search-for-object-detection-cpp-python/)[](https://blog.csdn.net/guoyunfei20/article/details/78723646)
* [Region Proposal Network(RPN)](https://zhuanlan.zhihu.com/p/106192020)
* [(Bounding Box Regression)](https://blog.csdn.net/zijin0802034/article/details/77685438)
* [NMS](https://blog.csdn.net/shuzfan/article/details/52711706) && [NMSpython](https://zhuanlan.zhihu.com/p/128125301)
* [NMS](https://zhuanlan.zhihu.com/p/151914931) && [NMS](https://zhuanlan.zhihu.com/p/157900024)
* [SmoothL1/IoU/GIoU/DIoU/CIoU Loss](https://zhuanlan.zhihu.com/p/104236411)
* [CNNR-CNN](https://zhuanlan.zhihu.com/p/23006190)
* [R-CNN](https://blog.csdn.net/u014696921/article/details/52824097)
* [R-CNN](https://blog.csdn.net/hjimce/article/details/50187029)
* [Fast R-CNN](https://zhuanlan.zhihu.com/p/24780395)
* [Faster R-CNN](https://blog.csdn.net/hjimce/article/details/73382553) && [RoI Pooling?](https://zhuanlan.zhihu.com/p/59692298)
* [Feature Pyramid Networks for Object Detection](https://zhuanlan.zhihu.com/p/36461718)
* [SSD](https://zhuanlan.zhihu.com/p/24954433)
* [--Mask RCNN(ROI Align / Loss Function)](https://www.codetd.com/article/2554465) && [Mask RCNN](https://zhuanlan.zhihu.com/p/37998710)
* [Focal Loss](https://zhuanlan.zhihu.com/p/32423092) && [FocalLoss ](https://zhuanlan.zhihu.com/p/82148525) && [focal_loss  Pytorch](https://blog.csdn.net/qq_33278884/article/details/91572173) && [focal losstensorflow](https://blog.csdn.net/qq_39012149/article/details/96184383)
* [Focal Loss](https://zhuanlan.zhihu.com/p/93658728)
* [()](https://zhuanlan.zhihu.com/p/138824387) && [()](https://zhuanlan.zhihu.com/p/138828372) && [(](https://zhuanlan.zhihu.com/p/144659734)
* [YOLO](http://www.mamicode.com/info-detail-2314392.html) && [|YOLO](https://zhuanlan.zhihu.com/p/32525231) && [YOLO](https://zhuanlan.zhihu.com/p/24916786) && [YoloYolov1](https://zhuanlan.zhihu.com/p/70387154)
* [|YOLOv2(YOLOv3)](https://zhuanlan.zhihu.com/p/35325884?group_id=966229905398362112) && [YOLO2](https://zhuanlan.zhihu.com/p/25167153) && [YoloYolov2](https://zhuanlan.zhihu.com/p/74540100)
* [<>YOLO v3](https://zhuanlan.zhihu.com/p/49556105) && [YoloYolov3](https://zhuanlan.zhihu.com/p/76802514)
* [YOLOv4](https://zhuanlan.zhihu.com/p/138510087)
* [CornerNet](https://arxiv.org/abs/1808.01244), [1](https://zhuanlan.zhihu.com/p/41825737), [2](https://blog.csdn.net/Hibercraft/article/details/81637451), [3](https://zhuanlan.zhihu.com/p/41759548)
* [tricks--](https://zhuanlan.zhihu.com/p/60612064)

##### 

* [  ](https://zhuanlan.zhihu.com/p/50996404) && [](https://blog.csdn.net/u013066730/article/details/103613154)
* [](https://blog.csdn.net/qq_20084101/article/details/80455877)          
* [+FCN/U-Net](https://zhuanlan.zhihu.com/p/31428783) && [net](https://blog.csdn.net/Formlsl/article/details/80373200)
* [Unet](https://www.zhihu.com/question/269914775)
* [CNN](https://zhuanlan.zhihu.com/p/38033032)
* [Attention](https://zhuanlan.zhihu.com/p/77834369)
* [Backbone:HRNet](https://zhuanlan.zhihu.com/p/134253318)

##### 

* [2017](https://zhuanlan.zhihu.com/p/37601161)
* [Attention Modelmechanism  ](https://blog.csdn.net/bvl10101111/article/details/78470716)
* [](https://zhuanlan.zhihu.com/p/146130215) 
* [More About Attention](https://zhuanlan.zhihu.com/p/106662375)
* [](https://zhuanlan.zhihu.com/p/32928645)
* [NLPAttention Mechanism](https://zhuanlan.zhihu.com/p/31547842)
* [TransformerAttention](https://mp.weixin.qq.com/s/k8PdZAld2ANVoekuyQxI3w)
* [](https://bbs.cvmart.net/topics/2581)

##### 

* [YOLO v4](https://zhuanlan.zhihu.com/p/141685352)
* [](https://zhuanlan.zhihu.com/p/147820687)

#### Action

* [PyTorchResNet](https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py) && [pytorch_resnet_cifar10](https://github.com/akamaster/pytorch_resnet_cifar10)
* [PyTorch 63.Coding for FLOPs, Params and Latency](https://zhuanlan.zhihu.com/p/268816646)
* [CapsNetTensorFlow](https://zhuanlan.zhihu.com/p/30753326)
* [-20](https://zhuanlan.zhihu.com/p/37056927)     
* [TensorFlow Object Detection API ](https://blog.csdn.net/qq_36148847/article/details/79306762)
  * [TensorFlow  API 1](https://blog.csdn.net/qq_36148847/article/details/79306762)
  * [TensorFlow  API 2](https://blog.csdn.net/qq_36148847/article/details/79307598)
  * [TensorFlow  API 3](https://blog.csdn.net/qq_36148847/article/details/79307751)
  * [TensorFlow  API  4](https://blog.csdn.net/qq_36148847/article/details/79307931)
  * [TensorFlow  API 5](https://blog.csdn.net/qq_36148847/article/details/79307933)
* [TensorFlow+KerasRoI](https://zhuanlan.zhihu.com/p/65327747)
* [mxnet](https://discuss.gluon.ai/t/topic/7216) && [mxnetFLOPS](https://github.com/likelyzhao/CalFLOPS-Mxnet)
* [Pytorch-UNet](https://github.com/milesial/Pytorch-UNet)
* [segmentation_models.pytorch](https://github.com/qubvel/segmentation_models.pytorch)

### GAN

####       

* [GAN](https://zhuanlan.zhihu.com/p/26491601)      
* [](https://kexue.fm/tag/GAN/)
* [The GAN LandscapeLosses, Architectures, Regularization, and Normalization](https://arxiv.org/pdf/1807.04720.pdf)
* [GAN](https://www.leiphone.com/news/201701/Kq6FvnjgbKK8Lh8N.html)
* [GAN](https://zhuanlan.zhihu.com/p/62746494)
* [2017GAN paper](https://zhuanlan.zhihu.com/p/29882709)
* [10GAN](https://zhuanlan.zhihu.com/p/72745900)

####      

* [GAN](https://zhuanlan.zhihu.com/p/27295635)
* [GAN](https://zhuanlan.zhihu.com/p/58812258)
* [](https://zhuanlan.zhihu.com/p/35783437?group_id=969598777652420608)
* [GAN](https://www.youtube.com/watch?v=0CKeqXl5IY0&feature=youtu.be)
    * [Basic](https://github.com/Mikoto10032/DeepLearning/blob/master/books/GAN-Basic%20Idea%20(2017.04.21).pdf)
    * [Improving](https://github.com/Mikoto10032/DeepLearning/blob/master/books/GAN-Improving%20GAN%20(2017.05.05).pdf)
* [CycleGAN | ICCV 2017](https://zhuanlan.zhihu.com/p/34711316)
* [Wasserstein GAN](https://zhuanlan.zhihu.com/p/25071913) && [GANJSlog2](https://blog.csdn.net/Invokar/article/details/88917214)
* [VAEGANAAEALI](https://zhuanlan.zhihu.com/p/40105143)
#### Action     

* [GANDemo](https://zhuanlan.zhihu.com/p/24767059)    
* [GitHubGAN](https://zhuanlan.zhihu.com/p/29837245)   
* [KerasGAN](https://zhuanlan.zhihu.com/p/35030377)  

### RNN      

####       

* [90SRNN27](https://zhuanlan.zhihu.com/p/32668465)       

####      

* [Awesome-Chinese-NLP](https://github.com/crownpku/Awesome-Chinese-NLP)
* [nlp-pytorch-zh](https://github.com/apachecn/nlp-pytorch-zh)
* [RNNRNNSeq2SeqAttention](https://zhuanlan.zhihu.com/p/28054589)
* [(RNN, Recurrent Neural Networks)](https://blog.csdn.net/heyongluoyao8/article/details/48636251)
* [RNNLSTM](https://blog.csdn.net/Dark_Scope/article/details/47056361)
* [(LSTM) ](https://zhuanlan.zhihu.com/p/24018768)
* [ LSTMRNN](https://zhuanlan.zhihu.com/p/35878575?group_id=970350175025385472)
* [LSTM](https://zhuanlan.zhihu.com/p/27345523)
* [ LSTM](https://blog.csdn.net/matrix_space/article/details/53374040)                
* [ LSTM  ()](https://blog.csdn.net/matrix_space/article/details/53374040)
* [ LSTM  ()](https://blog.csdn.net/matrix_space/article/details/53376870)
* [LSTM](https://zhuanlan.zhihu.com/p/32085405)
* [ ](https://zybuluo.com/hanbingtao/note/541458)           
* [DeepZip](https://zhuanlan.zhihu.com/p/32582764)         
* []()
    * [Coursera1-- RNN](https://zhuanlan.zhihu.com/p/34309635)
    * [Coursera2-- NLP & Word Embeddings](https://zhuanlan.zhihu.com/p/34975871)
    * [Coursera3-- Sequence models & Attention mechanism](https://zhuanlan.zhihu.com/p/35532553)
* word2vec

    - 
      - [NLP Word2vec](https://zhuanlan.zhihu.com/p/26306795)
      - [word2vec](https://zhuanlan.zhihu.com/p/35500923)
      - [YJangoWord Embedding--](https://zhuanlan.zhihu.com/p/27830489)
      - [nlpword2vec/glove/fastText/elmo/GPT/bert](https://zhuanlan.zhihu.com/p/56382372)
      - [word2vec](https://zh.diveintodeeplearning.org/chapter_natural-language-processing/word2vec.html)
      - [word2vec](https://blog.csdn.net/wangyangzhizhou/article/details/77073023)
      - [Word2Vec](https://zhuanlan.zhihu.com/p/67117737)
    - 
      - [-word2vec](https://zhuanlan.zhihu.com/p/29200034)
      - [word2vec](https://zhuanlan.zhihu.com/p/31886824)
      - [ word2vec tensorflow](https://blog.csdn.net/wzdjsgf/article/details/79541492)
      - [tensorflowword2vec](https://zhuanlan.zhihu.com/p/28979653)
      - [TensorFlow](https://blog.csdn.net/wangyangzhizhou/article/details/77530479?locationNum=1&fps=1)
* [ Transformer](https://zhuanlan.zhihu.com/p/47812375)
* [Transform](https://zhuanlan.zhihu.com/p/144825330)
* [word2vec()](https://zhuanlan.zhihu.com/p/35648927)
* [word2vec()](https://zhuanlan.zhihu.com/p/35889385)
* [Self-Attention Mechanism](https://zhuanlan.zhihu.com/p/35041012)  
* [](https://zhuanlan.zhihu.com/p/54491016)
* [YJangoWord Embedding--](https://zhuanlan.zhihu.com/p/27830489)          

#### Action     

* [nlp-tutorial](https://github.com/graykode/nlp-tutorial)
* [nlp-tutorial](https://github.com/lyeoni/nlp-tutorial)
* [tensorflowRNNcellRNNCell](https://blog.csdn.net/liuchonge/article/details/78405185?locationNum=8&fps=1)     
* [TensorFlowRNN](https://zhuanlan.zhihu.com/p/28196873)      
* [TensorFlow RNN ](https://zhuanlan.zhihu.com/p/27906426)
* [TensorflowNLP](https://zhuanlan.zhihu.com/p/67031035)
* [tensorflow LSTM](https://zhuanlan.zhihu.com/p/33186759)
* [TensorFlowLSTM](https://zhuanlan.zhihu.com/p/29797089)
* [TensorFlowLSTM](https://zhuanlan.zhihu.com/p/27087310)

### GNN

#### 

* [Graph Neural NetworkGNN](https://zhuanlan.zhihu.com/p/65539782)
* [](https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650754422&idx=4&sn=0dc881487f362322a875b4ce06e645f7&chksm=871a8908b06d001ef7386ccc752827c20711877a4a23d6a8318978095dd241d118257c607b22&scene=21#wechat_redirect)
* [](https://mp.weixin.qq.com/s?__biz=MzA3MzI4MjgzMw==&mid=2650754558&idx=2&sn=7d79191b9ed30679d5d40e22d9cabdf8&chksm=871a8980b06d00962e0dbe984e1d3469214db31cb402b4725a0dfe330249a830b45cb26932b5&scene=21#wechat_redirect)
* [IEEE FellowGNN](https://zhuanlan.zhihu.com/p/54241746)
* [GNN](https://github.com/DeepGraphLearning/LiteratureDL4Graph) && [Awesome-Graph-Neural-Networks](https://github.com/nnzhan/Awesome-Graph-Neural-Networks)

#### 

* [ Graph Convolutional NetworkGCN](https://www.zhihu.com/question/54504471)
* [(GCN)](https://zhuanlan.zhihu.com/p/54505069)
* [GCN](https://zhuanlan.zhihu.com/p/71200936)
* [GCN](https://zhuanlan.zhihu.com/p/90470499)
* [GCN](https://zhuanlan.zhihu.com/p/89503068)
* [2020  GNN ](https://zhuanlan.zhihu.com/p/101310106)
* [GCN GCN](https://zhuanlan.zhihu.com/p/120311352)
* [GNN](https://www.zhihu.com/question/346942899/answer/848298494)
* [(GCN)self-attention](https://www.zhihu.com/question/366088445) && [CNNGCN](https://zhuanlan.zhihu.com/p/147654689)

#### Action

* [Numpy](https://zhuanlan.zhihu.com/p/57235377)
* [DGL](https://docs.dgl.ai/index.html)

## . 

* [1. ](http://fa.bianp.net/teaching/2018/eecs227at/)
* [2. Adam](https://zhuanlan.zhihu.com/p/27449596)
* [3. ](https://zhuanlan.zhihu.com/p/25703402)
* [4. ](https://zhuanlan.zhihu.com/p/35429054?group_id=966442942538444800)
  * [--part1](https://zhuanlan.zhihu.com/p/35429054?group_id=966442942538444800)
  * [--part2](https://zhuanlan.zhihu.com/p/35432128?group_id=966443101011738624)
* [weight decaylearning rate decay](https://zhuanlan.zhihu.com/p/38709373) && [pytorch4](https://zhuanlan.zhihu.com/p/93624972)
* [5. math](https://blog.csdn.net/chunyun0716/article/category/6188191/2)
* [6. ](https://zhuanlan.zhihu.com/p/25631496)    
* [7. ](https://zhuanlan.zhihu.com/p/36050743)
* [8. ](https://zhuanlan.zhihu.com/p/35888543) && [,,,,,,,PRC,ROC,AUC,F1](https://zhuanlan.zhihu.com/p/34079183) && [ (1)  ](https://zhuanlan.zhihu.com/p/34473430) && [ (2)  ROCPR](https://zhuanlan.zhihu.com/p/34655990) && [AUCpython](https://zhuanlan.zhihu.com/p/84035782) && [](https://zhuanlan.zhihu.com/p/78628437)  && [](https://zhuanlan.zhihu.com/p/74980268) && [F1 ROCAUC ](https://www.zhihu.com/question/30643044)
* [](https://zhuanlan.zhihu.com/p/30567264) && [](https://www.cnblogs.com/XDU-Lakers/p/10557496.html)
* [()](https://blog.csdn.net/u014595019/article/details/52562159)
* [/](https://zhuanlan.zhihu.com/p/30385380)
* [](https://blog.csdn.net/zuolixiangfisher/article/details/88649110) && [PyTorch](https://zhuanlan.zhihu.com/p/61379965)
* [](https://zhuanlan.zhihu.com/p/82199561)
* [](https://blog.csdn.net/u014313009/article/details/51039334)
* [BP](https://zhuanlan.zhihu.com/p/24801814)
* [10. Coursera3-- Batch](https://zhuanlan.zhihu.com/p/30922689)
* [11. ](https://zhuanlan.zhihu.com/p/35423404)
* [12. ](https://zhuanlan.zhihu.com/p/27305237)
* [13. normalization, standardization, regularization](https://zhuanlan.zhihu.com/p/29974820) && [/normalization](https://blog.csdn.net/pipisorry/article/details/52247379) && [](https://www.zhihu.com/question/20455227)
* [14. LSTM](https://zhuanlan.zhihu.com/p/36101196)
* [15. ](https://zhuanlan.zhihu.com/p/35027284)
* [16. ](https://zhuanlan.zhihu.com/p/28124810)
* [17. FAIR](https://zhuanlan.zhihu.com/p/34858971)
* [18. Batch NormalizationBN]():[1 ](https://zhuanlan.zhihu.com/p/26702482),[2 ](https://blog.csdn.net/hjimce/article/details/50866313),[3 ](https://bbs.cvmart.net/topics/576),[4 ](https://blog.csdn.net/edogawachia/article/details/80040456), [5](https://zhuanlan.zhihu.com/p/38176412), [6](https://www.zhihu.com/question/38102762), [7](https://zhuanlan.zhihu.com/p/52132614)
* [19. NormalizationBN](https://zhuanlan.zhihu.com/p/33173246) && [ Normalization ](https://zhuanlan.zhihu.com/p/69659844)
* [20. BFGS](https://blog.csdn.net/philosophyatmath/article/details/70173128)
* [21. ](https://zhuanlan.zhihu.com/p/33006526) && [](https://blog.csdn.net/program_developer/article/details/80032376)
* [22. Dropout](https://arxiv.org/pdf/1207.0580.pdf), [1](https://blog.csdn.net/stdcoutzyx/article/details/49022443), [2](https://blog.csdn.net/hjimce/article/details/50413257), [3](https://blog.csdn.net/shuzfan/article/details/50580915)[Dropout](https://blog.csdn.net/shuzfan/article/details/50580915)
* [23.Spectral Normalization](https://blog.csdn.net/StreamRock/article/details/83590347)[](https://blog.csdn.net/left_la/article/details/9159949)[Spectral Norm Regularization](https://blog.csdn.net/StreamRock/article/details/83539937)
* [24.L1L2](https://zhuanlan.zhihu.com/p/35356992) && [L1L2](https://zhuanlan.zhihu.com/p/29360425) && [L2=Weight Decay](https://zhuanlan.zhihu.com/p/40814046) && [9102Adam + L2 regularization](https://zhuanlan.zhihu.com/p/63982470)
* [25.MSE](https://zhuanlan.zhihu.com/p/61944055) &&[](https://zhuanlan.zhihu.com/p/63731947) &&[MSE](http://sofasofa.io/forum_main_post.php?postid=1001792)&& [](https://www.zhihu.com/question/319865092)
* [](https://zhuanlan.zhihu.com/p/32154263)
* [weight decay](https://www.zhihu.com/question/65626362)
* [](https://blog.csdn.net/u014313009/article/details/51043064) && [pytorch](https://zhuanlan.zhihu.com/p/67782576) && [Softmax](https://zhuanlan.zhihu.com/p/27223959) && [KL](https://zhuanlan.zhihu.com/p/84764177)
* [](http://ruder.io/optimizing-gradient-descent/), [1](https://blog.csdn.net/qq_23269761/article/details/80901411), [2](https://www.cnblogs.com/guoyaohua/p/8542554.html), [BGDSGDAdamRMSPROP](https://blog.csdn.net/qq_32172681/article/details/100979476)
* **Softmax**[softmax](https://zhuanlan.zhihu.com/p/25723112)  &&  [softmaxlog](https://blog.csdn.net/u014313009/article/details/51045303) && [softmax loss](https://zhuanlan.zhihu.com/p/34044634)
* [Softmax](https://zhuanlan.zhihu.com/p/45014864)  && [Softmax](https://zhuanlan.zhihu.com/p/45368976) && [SoftmaxSmooth](https://zhuanlan.zhihu.com/p/49939159) && [Softmaxmargin](https://zhuanlan.zhihu.com/p/52108088)
* ****
  * [Kaiming](https://zhuanlan.zhihu.com/p/62850258)
  * [](https://zhuanlan.zhihu.com/p/138064188)
  * [](https://blog.csdn.net/u012328159/article/details/80025785)
  * [0](https://zhuanlan.zhihu.com/p/75879624)
  * [bias](https://www.zhihu.com/question/305340182)
  * [](https://www.zhihu.com/question/66894061)
* [baggingvarianceboostingbias?](https://www.zhihu.com/question/26760839)

## . 

### 
* [37](https://blog.csdn.net/jiandanjinxin/article/details/77190687)
* [Deep Learning  NaN](https://blog.csdn.net/BVL10101111/article/details/76086344)
* [trick](https://zhuanlan.zhihu.com/p/59918821)
* [deep learningrnncnn](https://www.zhihu.com/question/41631631)
* [GANtrick](https://zhuanlan.zhihu.com/p/27725664)
* [(8)_](https://blog.csdn.net/han_xiaoyang/article/details/50521064)
* [loss](https://blog.csdn.net/liuweiyuxiang/article/details/80856991) && [ loss](https://blog.csdn.net/zongza/article/details/89185852)
* [](https://blog.csdn.net/u014038273/article/details/84108688) &&[](https://blog.csdn.net/mzpmzk/article/details/79741682)
* [](https://blog.csdn.net/whut_ldz/article/details/78882871)[](https://github.com/L1aoXingyu/torchlib)
* [ warmup ](https://www.zhihu.com/question/338066667)
* [](): [](https://machinelearningmastery.com/tactics-to-combat-imbalanced-classes-in-your-machine-learning-dataset/), [](https://www.zhihu.com/question/285824343), [](https://blog.csdn.net/songhk0209/article/details/71484469) && [Awesome Imbalanced Learning](https://github.com/ZhiningLiu1998/awesome-imbalanced-learning) && [Class-balanced-loss-pytorch](https://github.com/vandit15/Class-balanced-loss-pytorch)
* [](https://www.zhihu.com/question/41841299)
* [mixup](https://blog.csdn.net/ly244855983/article/details/78938667#%E8%AE%A8%E8%AE%BA)
* [13](https://zhuanlan.zhihu.com/p/44331706)	
* [CNN?--](https://bindog.github.io/blog/2018/02/10/model-explanation/)				
  * [CNNCAMGrad-CAM)](https://bindog.github.io/blog/2018/02/10/model-explanation/) && [pytorch-grad-cam](https://github.com/jacobgil/pytorch-grad-cam) && [Grad-CAM-tensorflow](https://github.com/insikk/Grad-CAM-tensorflow) && [grad-cam.tensorflow](https://github.com/Ankush96/grad-cam.tensorflow) && [cnn_visualization](https://github.com/js-fan/mxnet/tree/d2b802e2d2af3dae5b4ac941354602630d2ef1c7/example/cnn_visualization)
  * [CNNLIME)](http://bindog.github.io/blog/2018/02/11/model-explanation-2/)
  * [:Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization](https://www.jianshu.com/p/294ad9ae2e50)
  * [CVKerashdf5gradcam()](https://blog.csdn.net/qq_41185868/article/details/80323646)
* [?]() [1](https://www.jianshu.com/p/d75375dd7ebd), [2](https://blog.csdn.net/kuangtun9713/article/details/79475457)	
* [](https://baijiahao.baidu.com/s?id=1608193373391996908)
* []()
  * [](https://zhuanlan.zhihu.com/p/56882616)
  * [](https://zhuanlan.zhihu.com/p/56022212)
  * [](https://zhuanlan.zhihu.com/p/56139575)
  * [](https://zhuanlan.zhihu.com/p/56365469)
  * [](https://zhuanlan.zhihu.com/p/56443169)
  * [ : ](https://zhuanlan.zhihu.com/p/56745640)
  * [](https://zhuanlan.zhihu.com/p/57738934)

### 

* [Kaggle ](https://www.leiphone.com/news/201803/XBjvQriKTyTMPLcz.html)

* [Kaggle ](https://www.leiphone.com/news/201803/chz1DNHqgVWNEm5t.html)

#### 

* [](https://zhuanlan.zhihu.com/p/56139575) && [(Data Augmentation)](https://zhuanlan.zhihu.com/p/41679153)
* [ ](https://zhuanlan.zhihu.com/p/38345420) && [](https://zhuanlan.zhihu.com/p/38437739)
* [](https://zhuanlan.zhihu.com/p/144921458)
* [Bag of Tricks for Image Classification with CNN](https://zhuanlan.zhihu.com/p/53324148)&& [pdf](https://arxiv.org/pdf/1812.01187.pdf)
* [tricks](https://zhuanlan.zhihu.com/p/66080948) && [trick](https://zhuanlan.zhihu.com/p/59918821)
* [Kaggle]()
  * [0Kaggle](https://www.itcodemonkey.com/article/4898.html)
  * [Kaggle ](https://www.leiphone.com/news/201803/u40cjEZWArBfFaBm.html)
  * [Kaggle](https://mp.weixin.qq.com/s/_S8EBBJ-u9g_fHp7I3ChMQ?)
  * [Kaggle](https://zhuanlan.zhihu.com/p/58496385)
  * [kaggle ](https://zhuanlan.zhihu.com/p/60953933)
  * [16KaggleKaggle](https://zhuanlan.zhihu.com/p/37522227)
  * [6Kaggle](https://zhuanlan.zhihu.com/p/37663895)
  * [Kaggle-](https://zhuanlan.zhihu.com/p/63275166)

#### 

* ensemble
* deformable
* sync bn
* ms train/test
* [tricks](https://zhuanlan.zhihu.com/p/56792817)
* [tricks--](https://zhuanlan.zhihu.com/p/60612064)
* [|backboneheadneck](https://zhuanlan.zhihu.com/p/137769687)
* [trick](https://zhuanlan.zhihu.com/p/39262769)
* [Bag of Freebies  tricks](https://zhuanlan.zhihu.com/p/141878389)
* [tricks](https://zhuanlan.zhihu.com/p/102817180)
* [Kaggle3D Deep Leaky Noisy-or Network ](https://www.jianshu.com/p/50158f8daf0d)
* [|kaggleCT](https://yq.aliyun.com/articles/89312)

## . 
* [2018](https://zhuanlan.zhihu.com/p/53717510)   
* [2019](https://zhuanlan.zhihu.com/p/104022144)

## . 

### 

#### Python3.x()		

* [The Python Tutorial](https://docs.python.org/3/tutorial/)
* [Python](https://www.liaoxuefeng.com/wiki/0014316089557264a6b348958f449949df42a6d3a2e542c000)
* [](http://www.runoob.com/python3/python3-tutorial.html)   
* [Python - ](https://zhuanlan.zhihu.com/p/24162430)
* [Python - 100](https://github.com/jackfrued/Python-100-Days)
* [Python,,](https://blog.csdn.net/u010472607/article/details/78855816) && [Python](https://blog.csdn.net/weixin_37619439/article/details/86559239)

#### Numpy()

* [Quickstart tutorial](https://www.numpy.org/devdocs/user/quickstart.html)

* [Numpy(Numpy 1.14 )](https://www.jianshu.com/p/3e566f09a0cf)
* [Numpy](https://www.numpy.org.cn/index.html)
* [Python - numpyMatplotlib](https://zhuanlan.zhihu.com/p/24309547)

#### Opencv-python

* [OpenCV-Python Tutorials](https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html)
* [OpenCVFor Python](https://www.cnblogs.com/Undo-self-blog/p/8423851.html)
* [](https://blog.csdn.net/feilong_csdn/article/category/8037591)
* [python+OpenCV](https://blog.csdn.net/qq_40962368/article/category/7688903)
* [Python - Python-OpenCV](https://zhuanlan.zhihu.com/p/24425116)

#### Pandas

* [Python Pandas](https://www.jianshu.com/p/d9774cf1fea5?utm_campaign=maleskine&utm_content=note&utm_medium=seo_notes&utm_source=recommendation)

#### Tensorflow		

* [ TensorFlow ](https://www.zhihu.com/question/41667903)
* [](http://www.tensorfly.cn/tfdoc/tutorials/overview.html)
* [TensorFlow](https://www.w3cschool.cn/tensorflow_python/)
* [CS20:Tensorflow for DeepLearning Research](http://web.stanford.edu/class/cs20si/syllabus.html)
* [TensorFlow](https://zhuanlan.zhihu.com/p/62981537)
* [Tensorflow](https://zhuanlan.zhihu.com/p/35515805?group_id=967136289941897216)
* [21TensorFlow](https://github.com/hzy46/Deep-Learning-21-Examples) 
* [Tensorflow2.0 ](https://zhuanlan.zhihu.com/p/59507137)
* [Github](https://github.com/search?o=desc&q=tensorflow+tutorial&s=&type=Repositories)

#### MXNet		
* [Gluon](http://zh.gluon.ai/#)
* [GluonCV](https://gluon-cv.mxnet.io/index.html#)
* [GluonNLP](http://gluon-nlp.mxnet.io/)

#### PyTorch

* [Pytorch](https://github.com/ShusenTang/Dive-into-DL-PyTorch)
* [PyTorch](https://pytorch-cn.readthedocs.io/zh/latest/)
* [WELCOME TO PYTORCH TUTORIALS](https://pytorch.org/tutorials/index.html)
* [PyTorch](https://zhuanlan.zhihu.com/p/64895011)
* [PyTorch](https://github.com/INTERMT/Awesome-PyTorch-Chinese)
* [Hands-on tour to deep learning with PyTorch](https://mlelarge.github.io/dataflowr-web/cea_edf_inria.html)
* [pytorch()/](https://www.jianshu.com/p/cfca9c4338e7) && [PyTorchImageFolder/ ](https://blog.csdn.net/wsp_1138886114/article/details/83620869)

### 

* [command_for_deeplearning](https://github.com/Stephenfang51/command_for_deeplearning/blob/master/command%20for%20deeplearning.md)

### Python

* [Top 50 matplotlib Visualizations  The Master Plots (with full python code)](https://www.machinelearningplus.com/plots/top-50-matplotlib-visualizations-the-master-plots-python/)
* [PythonMatPlotLib](https://blog.csdn.net/zhw864680355/article/details/102500263)
* [matplotlibpython](https://mp.weixin.qq.com/s/UfvEdzr-ZGmyT08yKDOchA)
* [Python - numpyMatplotlib](https://zhuanlan.zhihu.com/p/24309547)

### 
* 
	* [labelImg](https://github.com/tzutalin/labelImg)
* 
	* [labelme](https://github.com/wkentaro/labelme)

###   		
* [1. 25](https://zhuanlan.zhihu.com/p/35449783)
* [2. NLP](https://zhuanlan.zhihu.com/p/35423943)
* [3.(43030)](https://pan.baidu.com/s/1o7QlUhO)
* [4. ](https://people.eecs.berkeley.edu/~taesung_park/)
* [5. ACL 2018100+ ](https://zhuanlan.zhihu.com/p/36835964)
* [6. ](https://github.com/Embedding/Chinese-Word-Vectors)
* [7. ](http://academictorrents.com)
* [8. ](https://blog.csdn.net/c20081052/article/details/79814082)
* [9. CV Datasets](https://blog.csdn.net/accepthjp/article/details/51831026)
* [10. ](https://blog.csdn.net/NNNNNNNNNNNNY/article/details/68485160)
* [11. ](https://zhuanlan.zhihu.com/p/43846002)
* [12. ](https://blog.csdn.net/weixin_40516558/article/details/81564464)
* [13. DANBOORU2017: A LARGE-SCALE CROWDSOURCED AND TAGGED ANIME ILLUSTRATION DATASET](https://www.gwern.net/Danbooru2017)
* [14. ](http://robustsystems.coe.neu.edu/sites/robustsystems.coe.neu.edu/files/systems/projectpages/reiddataset.html)
* [15. ](https://zhuanlan.zhihu.com/p/56144877)
* [16. paper, code, sota](https://paperswithcode.com/)
* [17. RPC](https://zhuanlan.zhihu.com/p/55627416)
* [18. CVPR 2019(Re-ID)](https://zhuanlan.zhihu.com/p/60617001)
* [19.OCR](https://zhuanlan.zhihu.com/p/59052013)
* [20. -MSRA](https://github.com/msra-nlc/MSParS)
* [IEEE DataPort](https://ieee-dataport.org/)
* [](http://www.shujujishi.com/)
* [/]()[Medical Data for Machine Learning](https://github.com/beamandrew/medical-data) && [](https://grand-challenge.org/challenges/) && [ ](https://blog.csdn.net/qq_31622015/article/details/90573874) && [medical-imaging-datasets](https://github.com/sfikas/medical-imaging-datasets) && [](https://zhuanlan.zhihu.com/p/50615907) && [](https://zhuanlan.zhihu.com/p/102855802)

### 

* [MarkdownTypora](https://zhuanlan.zhihu.com/p/67153848) 
* [Markdown](https://zhuanlan.zhihu.com/p/47897214)
* [Markdown  ](https://blog.csdn.net/witnessai1/article/details/52551362)
* [MarkdownLatex ](https://blog.csdn.net/u014630987/article/details/70156489)

### 

* [](https://github.com/JackieTseng/conference_call_for_paper)
* [ai-deadlines](https://github.com/abhshkdz/ai-deadlines/)
* [Keep Up With New Trends](https://handong1587.github.io/deep_learning/2017/12/18/keep-up-with-new-trends.html)
* [](https://blog.csdn.net/cserchen/article/details/40508181)
* [(CCF)](https://www.ccf.org.cn/Academic_Evaluation/By_category/)

### 
* [Windows: Texlive+Texstudio](https://jingyan.baidu.com/article/b2c186c83c9b40c46ff6ff4f.html)
* [Ubuntu: Texlive+Texmaker](https://jingyan.baidu.com/article/7c6fb4280b024180642c90e4.html)
* [Latex](https://blog.csdn.net/quiet_girl/article/details/72847208)
* [LaTeX ](https://blog.csdn.net/garfielder007/article/details/51646604)

### 
* [Visio2016](https://msdn.itellyou.cn/)
* [Matplotlib](#Python)

### 
* [_NLP](https://zhuanlan.zhihu.com/p/58752815)
* [__V7](http://nlp.csai.tsinghua.edu.cn/~ly/talks/cwmt14_tut.pdf)
* [-](https://xpqiu.github.io/slides/20181019-PaperWriting.pdf)
* [Introduction](https://zhuanlan.zhihu.com/p/33876355), [Introduction](https://zhuanlan.zhihu.com/p/52494933), [Introduction](https://zhuanlan.zhihu.com/p/52494879)
* [](https://zhuanlan.zhihu.com/c_179195484)
* [rebuttal](https://zhuanlan.zhihu.com/p/104298923) && [Rebuttal](https://zhuanlan.zhihu.com/p/344008879)
* [](https://zhuanlan.zhihu.com/rationalscience-writing-lab)
* []()[](https://zhuanlan.zhihu.com/p/135989892) && [](https://zhuanlan.zhihu.com/p/136005095) && [](https://zhuanlan.zhihu.com/p/139571199)

### ResearchGos

* [ResearchGo:](https://zhuanlan.zhihu.com/p/22323250?refer=wjdml)
* [ResearchGo:](https://zhuanlan.zhihu.com/p/22402393?refer=wjdml)
* [ResearchGo:](https://zhuanlan.zhihu.com/p/22622502?refer=wjdml)
* [ResearchGo:](https://zhuanlan.zhihu.com/p/23178836?refer=wjdml)
* [ResearchGo:](https://zhuanlan.zhihu.com/p/23356843?refer=wjdml)
* [ResearchGo:](https://zhuanlan.zhihu.com/p/23872063?refer=wjdml)
* [ResearchGo:](https://zhuanlan.zhihu.com/p/25191025)
* [ResearchGo:PPT](https://zhuanlan.zhihu.com/p/62100815)

### 

* [](https://zhuanlan.zhihu.com/p/52495345)
* [](https://zhuanlan.zhihu.com/p/35951260)

_____

______

## 

### 

* [2014.06.06](https://zhuanlan.zhihu.com/p/19763358)
* [](https://www.zhihu.com/question/34899574/answer/612923473)
* [](https://blog.csdn.net/clover13/article/details/79469851)
* [FFT](https://blog.csdn.net/enjoy_pascal/article/details/81478582)
* [](https://blog.csdn.net/hanxiaohu88/article/details/8245687)

### 

* [I](https://zhuanlan.zhihu.com/p/22450818)

* [ ](https://zhuanlan.zhihu.com/p/44215123) && [ ](https://zhuanlan.zhihu.com/p/44217268)

#### 
* [MWCNNhaar pytorch](https://www.cnblogs.com/wanghui-garcia/p/12524515.html)
* [----haar](https://blog.csdn.net/baidu_27643275/article/details/84826773)
* [3](https://blog.csdn.net/hhaowang/article/details/82909332)
* [-](https://blog.csdn.net/qq_30815237/article/details/89704855)

## 

* [](https://github.com/shunliz/Machine-Learning):star:
* [ID3C4.5CARTbaggingboostingAdaboostGBDTxgboost](https://zhuanlan.zhihu.com/p/34534004)
* [](http://www.cnblogs.com/en-heng/p/5013995.html)[](https://blog.csdn.net/qq_42379006/article/details/80741808) && [](https://www.cnblogs.com/ljt1412451704/p/9678248.html)
* [AdaBoostGBDT]()
  * [GBDT AdaBoost  Gradient Boosting](https://zhuanlan.zhihu.com/p/25096501?refer=data-miner)
  * [GBDTGradient Boosting ](https://zhuanlan.zhihu.com/p/25257856?refer=data-miner)
  * [GBDT Ensemble Learning ](https://zhuanlan.zhihu.com/p/25443980)

### 

#### 
* [1. ](https://zhuanlan.zhihu.com/p/35423404)  
* [2. KL](https://zhuanlan.zhihu.com/p/32985487)

#### (MLP)
* [MLP](https://blog.csdn.net/baidu_33718858/article/details/84972537)
* [Multi-Layer Perceptron](https://blog.csdn.net/xholes/article/details/78461164)
* [-(MLP)](https://blog.csdn.net/weixin_38206214/article/details/81137911)

#### k(KNN)

* [KNNk](https://blog.csdn.net/sinat_30353259/article/details/80901746)

#### k(K-means)

* [Kmeans](https://blog.csdn.net/qq_32892383/article/details/80107795)

#### (Naive Bayesian)

* [//](https://blog.csdn.net/qq_23947237/article/details/78265026)
* [Naive Bayesian Classifier](https://blog.csdn.net/qq_32690999/article/details/78737393)
* [ ](https://blog.csdn.net/qq_17073497/article/details/81076250)

#### (Decision Tree)
* [ID3C4.5CART:star:](https://mp.weixin.qq.com/s/lXaPZyNrgG9LBv-JHdGm9A) && [Random ForestAdaboostGBDT :star:](https://mp.weixin.qq.com/s/Nl_-PdF0nHBq8yGp6AdI-Q) && [XGBoost  LightGBM :star:](https://mp.weixin.qq.com/s/LoX987dypDg8jbeTJMpEPQ)
* [xgboost](http://blog.itblood.com/4082.html)
* [Python3](https://blog.csdn.net/c406495762/article/details/75663451)
* [Python3](https://blog.csdn.net/c406495762/article/details/76262487)
* [CART](http://cuijiahua.com/blog/2017/12/ml_13_regtree_1.html)
* [(ID3,C4.5,CART)](https://blog.csdn.net/gamer_gyt/article/details/51242815)
* [](https://zhuanlan.zhihu.com/p/31404571)
* [  ](https://blog.csdn.net/namelessml/article/details/52595066)
* [ID3C4.5](https://blog.csdn.net/u014688145/article/details/53212112)
* [CART](https://blog.csdn.net/u014688145/article/details/53326910)

#### (Random Forest)
* [GBDT](https://blog.csdn.net/login_sonata/article/details/73929426)
* [Random Forest](https://blog.csdn.net/sb19931201/article/details/52601058)
* [](https://www.cnblogs.com/justcxtoworld/p/3447231.html)

#### Linear Regression

* [](https://blog.csdn.net/lt793843439/article/details/91392646)
* [](https://zhuanlan.zhihu.com/p/147297924)
* [(-)(-)](https://blog.csdn.net/z_feng12489/article/details/101388745)
* [logistic](https://blog.csdn.net/xierhacker/article/details/53316138)

#### (Logistic Regression)

* [ LR](https://zhuanlan.zhihu.com/p/100763009)
* [](https://zhuanlan.zhihu.com/p/62653034)
* [](https://www.jianshu.com/p/9d2686cd407e)
* [GLM()  LR() ](https://blog.csdn.net/Cdd2xd/article/details/75635688)

#### (SVM) 
* [ SVM](https://zhuanlan.zhihu.com/p/93715996)
* [SVM-](https://zhuanlan.zhihu.com/p/61123737)
* [SVM July](https://github.com/Mikoto10032/DeepLearning/blob/master/books/%E6%94%AF%E6%8C%81%E5%90%91%E9%87%8F%E6%9C%BA%E9%80%9A%E4%BF%97%E5%AF%BC%E8%AE%BA%EF%BC%88%E7%90%86%E8%A7%A3SVM%E7%9A%84%E4%B8%89%E5%B1%82%E5%A2%83%E7%95%8C%EF%BC%89LaTeX%E6%9C%80%E6%96%B0%E7%89%88_2015.1.9.pdf)
* [ ](): [](https://www.zhihu.com/question/24627666) && [SVM](https://www.zhihu.com/question/35602879) && [svm](https://blog.csdn.net/leonis_v/article/details/50688766) && [ (Radial Basis Function)--RBF](https://blog.csdn.net/huang1024rui/article/details/51510611) && [SVM](https://blog.csdn.net/xiaowei_cqu/article/details/35993729)

#### (Adaboost)

* [GBDT AdaBoost  Gradient Boosting](https://zhuanlan.zhihu.com/p/25096501)

#### (GBDT)
* [LightGBMXGBoost](https://zhuanlan.zhihu.com/p/35645973)
* [XGBoostLight GBMCatBoost](https://zhuanlan.zhihu.com/p/34698733)   && [XGBoostLightGBMCatboost](https://www.cnblogs.com/lvdongjie/p/11391245.html) && [XGBoostLight GBMCatBoost](https://zhuanlan.zhihu.com/p/34698733)
* [](https://zhuanlan.zhihu.com/p/36339161)
* [GBDT](https://zhuanlan.zhihu.com/p/30339807)
* [XGBOOST](https://zhuanlan.zhihu.com/p/31654000)
* [xgboost](https://blog.csdn.net/sb19931201/article/details/52557382) && [xgboost](https://blog.csdn.net/sb19931201/article/details/52577592)
* [kagglexgboost](https://zhuanlan.zhihu.com/p/41417638)
* [GBDTPython](https://blog.csdn.net/bf02jgtrs00xktcx/article/details/82719765)
* [GBDTGBDT-Python](https://blog.csdn.net/shine19930820/article/details/71713680)
* [Python+GBDT100%](https://www.jianshu.com/p/47e73a985ba1)
* [xgboost](https://blog.csdn.net/m0_37870649/article/details/104561431)

#### EM()			
* [EM ](https://zhuanlan.zhihu.com/p/36331115)
* [EM](https://zhuanlan.zhihu.com/p/61768577)           

#### (GMM)
* [EM](https://zhuanlan.zhihu.com/p/67107370)
* [GMM](https://zhuanlan.zhihu.com/p/30483076)

#### (MDP)		
* [Markov Processes](https://zhuanlan.zhihu.com/p/35124726)
* [Markov Reward Process](https://zhuanlan.zhihu.com/p/35231424)
* [Bellman Equation](https://zhuanlan.zhihu.com/p/35261164)
* [Markov Decision Process()](https://zhuanlan.zhihu.com/p/35354956)
* [](https://zhuanlan.zhihu.com/p/35373905)

#### (CRF, )
* [](https://zhuanlan.zhihu.com/p/104562658)
* [CRFHMM](https://www.zhihu.com/question/35866596)
* [HMM ,MHMM,CRF ](https://blog.csdn.net/u013378306/article/details/55213029)

#### 
* [-PCALargeVis](https://zhuanlan.zhihu.com/p/62470700)
* [12Python](https://zhuanlan.zhihu.com/p/43225794)

#### (PCA)
* [PCA](https://blog.csdn.net/program_developer/article/details/80632779)
* [PCA](https://blog.csdn.net/hustqb/article/details/78394058)
* [PCA](http://www.360doc.com/content/13/1124/02/9482_331688889.shtml)

#### (SVD)
* [(SVD)](https://www.cnblogs.com/LeftNotEasy/archive/2011/01/19/svd-and-applications.html)
* [SVD](https://zhuanlan.zhihu.com/p/29846048)
* [(SVD)](https://blog.csdn.net/zhongkejingwang/article/details/43053513)  
* [SVD](https://blog.csdn.net/zhongkejingwang/article/details/43083603)

#### (LDA)
* [LDA](https://zhuanlan.zhihu.com/p/42238953)

#### (Label Propagation Algorithm)  
* [Label PropagationPython](https://blog.csdn.net/zouxy09/article/details/49105265)
    * [](https://github.com/Mikoto10032/DeepLearning/blob/master/books/Semi-Supervised%20Learning%20with%20Graphs.pdf)

#### (MCTS)
* [](https://zhuanlan.zhihu.com/p/34950988)

#### (Ensemble)

* [bagging,stacking,boosting](https://zhuanlan.zhihu.com/p/41809927) && [BaggingBoosting](https://www.zhihu.com/follow)

* [baggingboosting](https://blog.csdn.net/qq_30189255/article/details/51532442)
* [Bagging,Boosting,Stacking](https://blog.csdn.net/Mr_tyting/article/details/72957853) && [baggingboosting stacking](https://zhuanlan.zhihu.com/p/65888174)

#### t(TSNE)
* [-](https://blog.csdn.net/u012162613/article/details/45920827)
* [tSNE](https://blog.csdn.net/flyingzhan/article/details/79521765)
* [t-SNEembedding](https://zhuanlan.zhihu.com/p/81400277)

#### (Spectral Clustering)
* [Spectral Clustering](https://blog.csdn.net/qq_24519677/article/details/82291867)
* [5--](https://blog.csdn.net/xueyingxue001/article/details/51966980)

#### 
* [](https://www.zhihu.com/question/280696035/answer/417091151)
* [](https://zhuanlan.zhihu.com/p/30169110)
* [N](https://mp.weixin.qq.com/s/RYLlUJiYbWqGIhzflbRGEg)
* [anomaly-detection-resources](https://zhuanlan.zhihu.com/p/158349346)

### 
* [](https://www.zhihu.com/question/28641663) && [--](https://zhuanlan.zhihu.com/p/103070096) && [ - ](https://zhuanlan.zhihu.com/p/94994902) && [](https://www.zhihu.com/question/20455227)
* [15sklearn](https://mp.weixin.qq.com/s?__biz=Mzg5NzAxMDgwNg==&mid=2247484110&idx=1&sn=b016e270d7b7707e6ad41a81ca45fc28&chksm=c0791fd7f70e96c103a8a2aebee166ce14f5648b3b889dd85dd9786f48b6b8269f11e5e27e1c&scene=21#wechat_redirect) && [](https://zhuanlan.zhihu.com/p/62034592)
* [sklearn](https://zhuanlan.zhihu.com/p/105039597) && [sklearn](https://zhuanlan.zhihu.com/p/105041301)
* [MachineLearning_Python](https://github.com/lawlite19/MachineLearning_Python)
* [Machine Learning Course with Python](https://github.com/machinelearningmindset/machine-learning-course)
* [Statistical-Learning-Method_Code](https://github.com/Dod-o/Statistical-Learning-Method_Code)
* [Python3](https://blog.csdn.net/c406495762/column/info/16415)
* [](https://www.jianshu.com/p/9d2452fc93c2)


## 

### (Multi-Task Learning)
* [-14 -Multitask Learning](https://zhuanlan.zhihu.com/p/27421983)
* [()(An Overview of Multi-task Learning in Deep Neural Networks)](http://www.cnblogs.com/shuzirank/p/7141017.html)
* [Multi-task Learning and Beyond: ](https://zhuanlan.zhihu.com/p/138597214)

### (Zero Shot Learning)
* [Zero-Shot Learning](https://zhuanlan.zhihu.com/p/34656727)

### (Few-Shot Learning)

* [few-shot learning](https://blog.csdn.net/xhw205/article/details/79491649)
* [Zero-Shot Learning](https://zhuanlan.zhihu.com/p/34656727)
* [Few-shot Learning](https://zhuanlan.zhihu.com/p/61215293)
* [Few-Shot Learning in CVPR 2019](https://towardsdatascience.com/few-shot-learning-in-cvpr19-6c6892fc8c5)
* [ fewshot learning](https://blog.csdn.net/mao_feng/article/details/78939864)

### (Multi-View Learning)
* [Multi-view Learning ](https://blog.csdn.net/danliwoo/article/details/79278574)
* [ (Multi-View Learning)](https://blog.csdn.net/shine19930820/article/details/77426599)

### (Embedding)

* [Embeddingword2vecitem2vec](https://zhuanlan.zhihu.com/p/53194407)
* [YJangoWord Embedding--](https://zhuanlan.zhihu.com/p/27830489)

### (Transfer Learning)		
* [1. ](https://blog.csdn.net/linolzhang/article/details/73358219)
* [2.  (Transfer Learning)](https://www.zhihu.com/question/41979241)
* [3. ](https://github.com/Mikoto10032/DeepLearning/blob/master/notes//2018_4_12_.pdf) 
* [(One Shot Learning, Zero Shot Learning)](https://blog.csdn.net/XJTU_NOC_Wei/article/details/77850221)

### (Domain Adaptation)

* [Domain AdaptationPPT](https://zhuanlan.zhihu.com/p/27519182)
* [15 Domain AdaptationOne-shot/zero-shot Learning](https://zhuanlan.zhihu.com/p/27449079)
* [Deep Transfer Network: Unsupervised Domain Adaptation](https://blog.csdn.net/mao_xiao_feng/article/details/54426101)
* [](https://zhuanlan.zhihu.com/p/37298073)
* [Valse](https://zhuanlan.zhihu.com/p/21441807)
* [CVPR 2018](https://zhuanlan.zhihu.com/p/41126114)

### (Meta Learning)		

* [OpenAIEPG](https://zhuanlan.zhihu.com/p/35869158?group_id=970310501209645056)   

### (Reinforcement Learning)	

* [Reinforcement Learning](https://zhuanlan.zhihu.com/p/25498081)
* [](https://zhuanlan.zhihu.com/p/34918639)
* [](https://zhuanlan.zhihu.com/p/25498081)
    * [  MDP](https://zhuanlan.zhihu.com/p/25498081)
* [Q-LearningDQN](https://zhuanlan.zhihu.com/p/35882937)
* [](https://zhuanlan.zhihu.com/p/35688924)         
* [](https://zhuanlan.zhihu.com/p/35965070)
* [Q-Learning](https://zhuanlan.zhihu.com/p/37048004)

### (Recommendation System)

#### 

* [Embedding](https://zhuanlan.zhihu.com/p/58805184)
* [Reco-papers](https://github.com/wzhe06/Reco-papers)
* [Ad-papers](https://github.com/wzhe06/Ad-papers)
* [deep-recommender-system](https://github.com/chocoluffy/deep-recommender-system)
* [CTR](https://zhuanlan.zhihu.com/p/243243145)

#### 

* [](https://zhuanlan.zhihu.com/p/27502172)
* [](https://zhuanlan.zhihu.com/p/133528693)
* [](https://zhuanlan.zhihu.com/p/34004488)
* [](https://zhuanlan.zhihu.com/p/54819505)
* [](https://zhuanlan.zhihu.com/p/259985388)
* [  ](https://zhuanlan.zhihu.com/p/148207613)
* [](https://zhuanlan.zhihu.com/p/100019681)
* [](https://zhuanlan.zhihu.com/p/115690499) && [](https://zhuanlan.zhihu.com/p/138235048)   
* [](https://www.zhihu.com/question/423384620/answer/1687201890)
* [](https://zhuanlan.zhihu.com/p/138446984) && [](https://zhuanlan.zhihu.com/p/140894123)
* [--()](https://zhuanlan.zhihu.com/p/81752025) && [01-](https://zhuanlan.zhihu.com/p/123951784)
* [](https://www.zhihu.com/question/19971859)
* [CTR](https://zhuanlan.zhihu.com/p/257895631)
* [](https://blog.csdn.net/wuzhongqiang/category_10128687.html)

#### 

* [ AI-RecommenderSystem](https://github.com/zhongqiangwu960812/AI-RecommenderSystem)
* [team-learning-rs](https://github.com/datawhalechina/team-learning-rs)
* [RecommendSystemPractice](https://github.com/Magic-Bubble/RecommendSystemPractice)
* [Surprise](http://surpriselib.com/)
ecosyste.ms

Data

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Experiments

Open Source Science

https://github.com/lymdlut/deeplearning

Science Score: 10.0%

Repository

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https://github.com/LYMDLUT/DeepLearning/blob/master/

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