NLP_wuenda
所属分类：自然语言处理
开发工具：Jupyter Notebook
文件大小：399552KB
下载次数：0
上传日期：2021-01-08 04:32:14
上 传 者：
sh-1993
说明： NLP_wuenda,吴恩达老师在2020年6月份推出了NLP课程,网址如下:[https: www.deeplearning.ai natural-language- processing- specialization 。本人忙里偷闲将老师的视频和作业都完...](https: www.deeplearning.ai natural- language-processing- specialization %E3%80%82%E6%9C%AC%E4%BA%BA%E5%BF%99%E9%87%8C%E5%81%B7%E9%97%B2%E5%B0%86%E8%80%81%E5%B8%88%E7%9A%84%E8%A7%86%E9%A2%91%E5%92%8C%E4%BD%9C%E4%B8%9A%E9%83%BD%E5%AE%8C%E6%88%90%E4%BA%86%EF%BC%8C%E5%90%8E%E7%BB%AD%E4%BC%9A%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E8%AF%BE%E7%A8%8B%E7%9A%84%E8%B5%84%E6%96%99%E5%92%8C%E4%BD%9C%E4%B8%9A%E3%80%82)
(NLP_ Wuenda, teacher Andrew Y. Ng launched the NLP course in June 2020, The website is as follows: [https: www.deeplearning. ai natural language - processing - specialization. I took a break from my busy schedule to finish the teacher s videos and assignments...] (https: www.deeplearning.ai natural- language-processing- specialization %E3%80%82%E6%9C%AC%E4%BA%BA%E5%BF%99%E9%87%8C%E5%81%B7%E9%97%B2%E5%B0%86%E8%80%81%E5%B8%88%E7%9A%84%E8%A7%86%E9%A2%91%E5%92%8C%E4%BD%9C%E4%B8%9A%E9%83%BD%E5%AE%8C%E6%88%90%E4%BA%86%EF%BC%8C%E5%90%8E%E7%BB%AD%E4%BC%9A%E6%8C%81%E7%BB%AD%E6%9B%B4%E6%96%B0%E8%AF%BE%E7%A8%8B%E7%9A%84%E8%B5%84%E6%96%99%E5%92%8C%E4%BD%9C%E4%B8%9A% E3%80%82))
文件列表:
lecture_four (0, 2021-01-08)
lecture_four\first_week (0, 2021-01-08)
lecture_four\first_week\C4_W1_Ungraded_Lab_Bleu_Score.ipynb (54575, 2021-01-08)
lecture_four\first_week\C4_W1_Ungraded_Lab_Stack_Semantics.ipynb (21501, 2021-01-08)
lecture_four\first_week\Stack1.png (35581, 2021-01-08)
lecture_four\first_week\Stack2.png (35791, 2021-01-08)
lecture_four\first_week\Stack3.png (34919, 2021-01-08)
lecture_four\first_week\Stack4.png (46297, 2021-01-08)
lecture_four\first_week\homework_accomplished (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\C4_W1_Assignment.ipynb (95802, 2021-01-08)
lecture_four\first_week\homework_accomplished\NMTModel.png (125922, 2021-01-08)
lecture_four\first_week\homework_accomplished\attention_overview.png (94142, 2021-01-08)
lecture_four\first_week\homework_accomplished\data (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\data\ende_32k.subword (321313, 2021-01-08)
lecture_four\first_week\homework_accomplished\data\opus (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\data\opus\medical (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\data\opus\medical\0.1.0 (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\data\opus\medical\0.1.0\dataset_info.json (931, 2021-01-08)
lecture_four\first_week\homework_accomplished\data\opus\medical\0.1.0\opus-train.tfrecord-00000-of-00002 (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\data\opus\medical\0.1.0\opus-train.tfrecord-00001-of-00002 (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\input_encoder.png (15493, 2021-01-08)
lecture_four\first_week\homework_accomplished\model.pkl.gz (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\config.gin (1819, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\eval (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\eval\events.out.tfevents.1607315028.aaaa34547253 (272, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\eval\events.out.tfevents.1607322416.30c4f09a991b (156, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\eval\events.out.tfevents.1607328753.30c4f09a991b (156, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\eval\events.out.tfevents.1607331456.30c4f09a991b (156, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\eval\events.out.tfevents.1607334163.30c4f09a991b (156, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\train (0, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\train\events.out.tfevents.1607315021.aaaa34547253 (1742, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\train\events.out.tfevents.1607322409.30c4f09a991b (392, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\train\events.out.tfevents.1607328746.30c4f09a991b (392, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\train\events.out.tfevents.1607331450.30c4f09a991b (392, 2021-01-08)
lecture_four\first_week\homework_accomplished\output_dir\train\events.out.tfevents.1607334156.30c4f09a991b (392, 2021-01-08)
lecture_four\first_week\homework_accomplished\plain_rnn.png (59369, 2021-01-08)
lecture_four\first_week\homework_accomplished\pre_attention_decoder.png (17787, 2021-01-08)
... ...
# NLP_wuenda
## 1.简介
吴恩达老师在2020年6月份推出了NLP课程,[Natural Language Processing Specialization](https://www.deeplearning.ai/natural-language-processing-specialization/ "吴恩达 NLP课程")
本人忙里偷闲将老师的视频和作业都完成了,后续会持续更新课程的资料和作业。目前NLP课程一共分为四门,每门课程会分为三(四)周,每周都会有代码测验题目。
+ homework_test--是原封不动的将课程资料打包下载,供读者自行完成;
+ homework_accomplished--是本人完成的代码测验,基本都是100%通过(但这并不意味着0差错)。
## 2.课程目录
1. [Course 1: Classification and Vector Spaces in NLP](https://www.coursera.org/learn/classification-vector-spaces-in-nlp "NLP中的分类和向量空间")
2. [Course 2: Probabilistic Models in NLP](https://www.coursera.org/learn/probabilistic-models-in-nlp "NLP中的概率模型")
3. [Course 3: Sequence Models in NLP](https://www.coursera.org/learn/sequence-models-in-nlp "NLP中的序列模型")
4. [Course 4: Attention Models in NLP](https://www.coursera.org/learn/attention-models-in-nlp "NLP中的注意力模型")
## 3.博客链接
[NLP课程链接](https://blog.csdn.net/weixin_425***710/article/details/110872330)
## 4.完善中
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