一、安装篇
1.清华大学开源软件镜像站
https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
2.Anaconda使用总结暨部署python2和python3共存
https://www.jianshu.com/p/c060b4a37d07
3.Anaconda详细安装及使用教程（带图文）
https://blog.csdn.net/ITLearnHall/article/details/81708148
4.Anaconda3安装tensorflow
https://blog.csdn.net/weixin_42548215/article/details/86475438
5.docker conda UnavailableInvalidChannel: The channel is not accessible or is invalid As of conda 4.3
https://blog.csdn.net/Areigninhell/article/details/98483210
6.py3.7配置tensorflow-GPU总结、The channel is not accessible错误、CUDA driver version is insufficient for CUDA
https://blog.csdn.net/Msjiangmei/article/details/90610153
7.anaconda3安装与安装Tensorflow
https://www.cnblogs.com/wwaann/articles/9978828.html
8.channel url: https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free error code: 404
https://blog.csdn.net/qq_40896597/article/details/90296635
9.Python，Pycharm，Anaconda等的关系与安装过程~为初学者跳过各种坑
https://blog.csdn.net/weixin_30681615/article/details/97980186
10.No module named 'tensorflow'解决方法
https://blog.csdn.net/weixin_40258548/article/details/86603134
11.Windows10下Anaconda3-5.0.1安装TensorFlow 1.10.0-py36
https://blog.csdn.net/qq_42360544/article/details/85320805
12.解决ModuleNotFoundError: No module named 'numpy.core._multiarray_umath' 错误
https://blog.csdn.net/weixin_41010198/article/details/86738635
13.Anaconda中ImportError: No module named 'matplotlib' 问题的解决
https://blog.csdn.net/qq_37891713/article/details/84961855
14.配置Spyder（tensorflow）开发环境
https://www.cnblogs.com/onefish51/p/9322516.html
15.Python中的打开文件错误，FileNotFoundError: [Errno 2] No such file or directory:
https://blog.csdn.net/abcde520906/article/details/91397720?depth_1.utm_source=distribute.pc_relevant.none-task&utm_source=distribute.pc_relevant.none-task
二、Tensorflow实战
1.Tensorflow实战——读书笔记
https://www.cnblogs.com/ylwn/p/10947048.html
2.TensorFlow 完整的Tenso
rFlow入门教程
https://blog.csdn.net/lengguoxing/article/details/78456279
3.TensorFlow入门：第一个机器学习Demo
https://blog.csdn.net/geyunfei_/article/details/78782804
4.Tensorflow从入门到精通（二）：附代码实战
https://cloud.tencent.com/developer/news/164261
5.Tensorflow从入门到精通系列教程（一）—文末有惊喜
https://cloud.tencent.com/developer/news/152581
6.深度学习tensorflow：入门、原理与进阶实战的第一个例子简化演示
https://blog.csdn.net/qq_31150463/article/details/84712452
7.TENSORFLOW变量作用域（VARIABLE SCOPE）
https://www.cnblogs.com/MY0213/p/9208503.html
三、传统命名实体识别
0.（总结性的）命名实体识别入门教程（必看）
https://www.cnblogs.com/jfdwd/p/11149794.html
1.DL4NLP —— 序列标注：BiLSTM-CRF模型做基于字的中文命名实体识别
https://www.cnblogs.com/Determined22/p/7238342.html
对应的github____A simple BiLSTM-CRF model for Chinese Named Entity Recognition
https://github.com/Determined22/zh-NER-TF
2.cs224d 作业 problem set2 (二) TensorFlow 实现命名实体识别
https://blog.csdn.net/u012416045/article/details/78223838
3.基于深度学习的命名实体识别详解（附Github代码）
https://blog.csdn.net/u012392084/article/details/78010047
4.命名实体识别【代码解析】
https://blog.csdn.net/victoriaGYR/article/details/85046095?depth_1-utm_source=distribute.pc_relevant.none-task&utm_source=distribute.pc_relevant.none-task
5.超级详细手把手讲解BiLSTM+CRF完成命名实体识别（一）
https://blog.csdn.net/qq_41076797/article/details/99569285?depth_1-utm_source=distribute.pc_relevant.none-task&utm_source=distribute.pc_relevant.none-task
6.零基础入门--中文命名实体识别（BiLSTM+CRF模型，含代码）
https://www.cnblogs.com/jfdwd/p/11139104.html
四、BERT命名实体识别
（1）BERT实例
1. TensorFlow 实战——BERT课程
https://edu.csdn.net/course/play/26731/363851?utm_source=xueyuanjuhe
2.Bert模型tensorflow源码解析（详解transformer encoder数据运算）
https://www.jianshu.com/p/2a3872148766
3.基于BERT预训练的中文命名实体识别TensorFlow实现
https://blog.csdn.net/macanv/article/details/85684284
4.基于BERT预训练的中文命名实体识别TensorFlow实现
https://www.cnblogs.com/jfdwd/p/11201887.html
5.【NLP-NER】如何用BERT来做命名实体识别
https://zhuanlan.zhihu.com/p/88545507
6.基于BERT的中文命名实体识别
https://blog.csdn.net/qq_33278884/article/details/88756798
7.BERT+BiLSTM-CRF-NER用于做ner识别
https://blog.csdn.net/luoyexuge/article/details/84728649
8.BERT中文实战---命名实体识别
https://blog.csdn.net/yangfengling1023/article/details/85048627
9.动手实践bert+BiLstm+crf
https://blog.csdn.net/liuzonghao88/article/details/93748359
10.bert代码解读4----中文命名实体识别
https://blog.csdn.net/qqywm/article/details/85569885
11.bert 中文使用（2）
https://blog.csdn.net/renyuanfang/article/details/101223521
12.bert中文微调tensorflow降版本过程
https://blog.csdn.net/khy19940520/article/details/99821662
13.bert环境搭建
https://blog.csdn.net/u013109501/article/details/91987180
14.bert实战:安装与跑demo
https://blog.csdn.net/w417950004/article/details/99080193
（2）github的BERT实战实例
1.Bert-model-code-interpretation
https://github.com/1234560o/Bert-model-code-interpretation
2.BERT-BiLSTM-CRF-NER
https://github.com/macanv/BERT-BiLSTM-CRF-NER
3.基于BERT 的中文数据集下的命名实体识别(NER)
https://github.com/xuanzebi/BERT-CH-NER
五、事理图谱 知识库 知识图谱 文本挖掘
1.刘焕勇的github项目列表
https://liuhuanyong.github.io/
2.lhy2014的博客
https://blog.csdn.net/lhy2014
六、人工智能算法工程师课程及面试题
1.人工智能、机器学习全套视频课程、资料下载
https://blog.csdn.net/qq_35739303/article/details/82775154?depth_1-utm_source=distribute.pc_relevant.none-task&utm_source=distribute.pc_relevant.none-task
2.开发者入门必读：最值得看的十大机器学习公开课
https://blog.csdn.net/xiangz_csdn/article/details/54580053?depth_1-utm_source=distribute.pc_relevant.none-task&utm_source=distribute.pc_relevant.none-task
3.机器学习算法岗的常见面试问题及准备
https://blog.csdn.net/weixin_40411446/article/details/80398641
4.人工智能面试题
https://blog.csdn.net/susu2580/article/details/82711254?depth_1-utm_source=distribute.pc_relevant.none-task&utm_source=distribute.pc_relevant.none-task
5.算法工程师（机器学习和人工智能方向）面试题目分享
https://blog.csdn.net/xiaoxiaojie521/article/details/90548889?depth_1-utm_source=distribute.pc_relevant.none-task&utm_source=distribute.pc_relevant.none-task
6.常见问题：机器学习中防止过拟合的处理方法
https://blog.csdn.net/heyongluoyao8/article/details/49429629
7.GRU与LSTM总结
https://blog.csdn.net/lreaderl/article/details/78022724
8.机器学习课件.ppt
https://max.book118.com/html/2019/0213/7152036050002006.shtm
七、github入门
1.从0开始学习 GitHub 系列之「加入 GitHub」
https://segmentfault.com/a/1190000005611460
2.从0开始学习 GitHub 系列之「初识 GitHub」
https://segmentfault.com/a/1190000005341489
3.从0开始学习 GitHub 系列之「Git 速成」
https://segmentfault.com/a/1190000005713232