學習筆記（安裝、命名實體識別、BERT、面試）

一、安裝篇
1.清華大學開源軟件鏡像站
https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
2.Anaconda使用總結暨部署python2和python3共存
https://www.jianshu.com/p/c060b4a37d07
3.Anaconda詳細安裝及使用教程（帶圖文）
https://blog.csdn.net/ITLearnHall/article/details/81708148
4.Anaconda3安裝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總結、The channel is not accessible錯誤、CUDA driver version is insufficient for CUDA
https://blog.csdn.net/Msjiangmei/article/details/90610153
7.anaconda3安裝與安裝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等的關系與安裝過程~為初學者跳過各種坑
https://blog.csdn.net/weixin_30681615/article/details/97980186
10.No module named 'tensorflow'解決方法
https://blog.csdn.net/weixin_40258548/article/details/86603134
11.Windows10下Anaconda3-5.0.1安裝TensorFlow 1.10.0-py36
https://blog.csdn.net/qq_42360544/article/details/85320805
12.解決ModuleNotFoundError: No module named 'numpy.core._multiarray_umath' 錯誤
https://blog.csdn.net/weixin_41010198/article/details/86738635
13.Anaconda中ImportError: No module named 'matplotlib' 問題的解決
https://blog.csdn.net/qq_37891713/article/details/84961855
14.配置Spyder（tensorflow）開發環境
https://www.cnblogs.com/onefish51/p/9322516.html
15.Python中的打開文件錯誤，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實戰
1.Tensorflow實戰——讀書筆記
https://www.cnblogs.com/ylwn/p/10947048.html
2.TensorFlow 完整的Tenso
rFlow入門教程
https://blog.csdn.net/lengguoxing/article/details/78456279
3.TensorFlow入門：第一個機器學習Demo
https://blog.csdn.net/geyunfei_/article/details/78782804
4.Tensorflow從入門到精通（二）：附代碼實戰
https://cloud.tencent.com/developer/news/164261
5.Tensorflow從入門到精通系列教程（一）—文末有驚喜
https://cloud.tencent.com/developer/news/152581
6.深度學習tensorflow：入門、原理與進階實戰的第一個例子簡化演示
https://blog.csdn.net/qq_31150463/article/details/84712452
7.TENSORFLOW變量作用域（VARIABLE SCOPE）
https://www.cnblogs.com/MY0213/p/9208503.html
三、傳統命名實體識別
0.（總結性的）命名實體識別入門教程（必看）
https://www.cnblogs.com/jfdwd/p/11149794.html
1.DL4NLP —— 序列標注：BiLSTM-CRF模型做基於字的中文命名實體識別
https://www.cnblogs.com/Determined22/p/7238342.html
對應的github____A simple BiLSTM-CRF model for Chinese Named Entity Recognition
https://github.com/Determined22/zh-NER-TF
2.cs224d 作業 problem set2 (二) TensorFlow 實現命名實體識別
https://blog.csdn.net/u012416045/article/details/78223838
3.基於深度學習的命名實體識別詳解（附Github代碼）
https://blog.csdn.net/u012392084/article/details/78010047
4.命名實體識別【代碼解析】
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.超級詳細手把手講解BiLSTM+CRF完成命名實體識別（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
6.零基礎入門--中文命名實體識別（BiLSTM+CRF模型，含代碼）
https://www.cnblogs.com/jfdwd/p/11139104.html
四、BERT命名實體識別
（1）BERT實例
1. TensorFlow 實戰——BERT課程
https://edu.csdn.net/course/play/26731/363851?utm_source=xueyuanjuhe
2.Bert模型tensorflow源碼解析（詳解transformer encoder數據運算）
https://www.jianshu.com/p/2a3872148766
3.基於BERT預訓練的中文命名實體識別TensorFlow實現
https://blog.csdn.net/macanv/article/details/85684284
4.基於BERT預訓練的中文命名實體識別TensorFlow實現
https://www.cnblogs.com/jfdwd/p/11201887.html
5.【NLP-NER】如何用BERT來做命名實體識別
https://zhuanlan.zhihu.com/p/88545507
6.基於BERT的中文命名實體識別
https://blog.csdn.net/qq_33278884/article/details/88756798
7.BERT+BiLSTM-CRF-NER用於做ner識別
https://blog.csdn.net/luoyexuge/article/details/84728649
8.BERT中文實戰---命名實體識別
https://blog.csdn.net/yangfengling1023/article/details/85048627
9.動手實踐bert+BiLstm+crf
https://blog.csdn.net/liuzonghao88/article/details/93748359
10.bert代碼解讀4----中文命名實體識別
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中文微調tensorflow降版本過程
https://blog.csdn.net/khy19940520/article/details/99821662
13.bert環境搭建
https://blog.csdn.net/u013109501/article/details/91987180
14.bert實戰:安裝與跑demo
https://blog.csdn.net/w417950004/article/details/99080193
（2）github的BERT實戰實例
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.基於BERT 的中文數據集下的命名實體識別(NER)
https://github.com/xuanzebi/BERT-CH-NER
五、事理圖譜 知識庫 知識圖譜 文本挖掘
1.劉煥勇的github項目列表
https://liuhuanyong.github.io/
2.lhy2014的博客
https://blog.csdn.net/lhy2014
六、人工智能算法工程師課程及面試題
1.人工智能、機器學習全套視頻課程、資料下載
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.開發者入門必讀：最值得看的十大機器學習公開課
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.機器學習算法崗的常見面試問題及准備
https://blog.csdn.net/weixin_40411446/article/details/80398641
4.人工智能面試題
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.算法工程師（機器學習和人工智能方向）面試題目分享
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.常見問題：機器學習中防止過擬合的處理方法
https://blog.csdn.net/heyongluoyao8/article/details/49429629
7.GRU與LSTM總結
https://blog.csdn.net/lreaderl/article/details/78022724
8.機器學習課件.ppt
https://max.book118.com/html/2019/0213/7152036050002006.shtm
七、github入門
1.從0開始學習 GitHub 系列之「加入 GitHub」
https://segmentfault.com/a/1190000005611460
2.從0開始學習 GitHub 系列之「初識 GitHub」
https://segmentfault.com/a/1190000005341489
3.從0開始學習 GitHub 系列之「Git 速成」
https://segmentfault.com/a/1190000005713232