Udacity - Natural Language Processing Nanodegree nd892 v1.0.0
File List
| File | Size |
|---|---|
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt | 357 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt | 371 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt | 392 B |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.zh-CN.vtt | 407 B |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.zh-CN.vtt | 408 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt | 410 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt | 419 B |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.en.vtt | 428 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt | 435 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt | 438 B |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.en.vtt | 448 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt | 453 B |
| README.txt | 454 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt | 457 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt | 460 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt | 473 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.en.vtt | 476 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt | 490 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt | 501 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt | 538 B |
| Part 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.zh-CN.vtt | 540 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt | 542 B |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.zh-CN.vtt | 550 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt | 551 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt | 556 B |
| Part 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.pt-BR.vtt | 574 B |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.en.vtt | 578 B |
| Part 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.en.vtt | 586 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ar.vtt | 608 B |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.zh-CN.vtt | 609 B |
| Part 05-Module 01-Lesson 03_Intro to NLP/04. Grammar-Jw3dA7xmoQ4.zh-CN.vtt | 617 B |
| Part 06-Module 01-Lesson 01_Feature extraction and embeddings/10. NLP Summary-B9ul8fsQYOA.zh-CN.vtt | 624 B |
| Part 06-Module 01-Lesson 02_Topic Modeling/15. Outro-y8vecBYUFPo.zh-CN.vtt | 625 B |
| Part 05-Module 01-Lesson 05_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt | 631 B |
| Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.zh-CN.vtt | 632 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt | 634 B |
| Part 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.zh-CN.vtt | 655 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt | 678 B |
| Part 06-Module 01-Lesson 02_Topic Modeling/15. Outro-y8vecBYUFPo.en.vtt | 679 B |
| Part 06-Module 01-Lesson 01_Feature extraction and embeddings/10. NLP Summary-B9ul8fsQYOA.en.vtt | 688 B |
| Part 05-Module 01-Lesson 05_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt | 690 B |
| Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.pt-BR.vtt | 700 B |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.en.vtt | 702 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt | 705 B |
| Part 05-Module 01-Lesson 05_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt | 716 B |
| Part 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.en.vtt | 725 B |
| Part 05-Module 01-Lesson 03_Intro to NLP/04. Grammar-Jw3dA7xmoQ4.en.vtt | 727 B |
| Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.en.vtt | 734 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ar.vtt | 768 B |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt | 812 B |
| Part 03-Module 01-Lesson 01_Voice User Interfaces/10. Language Models-vrrP9fzJGSE.zh-CN.vtt | 905 B |
| Part 07-Module 01-Lesson 03_Speech Recognition/16. Language Models-vrrP9fzJGSE.zh-CN.vtt | 905 B |
| Part 06-Module 01-Lesson 01_Feature extraction and embeddings/01. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt | 970 B |
| Part 06-Module 01-Lesson 02_Topic Modeling/11. Latent Dirichlet Alocation-2wn8pNa6mg0.zh-CN.vtt | 980 B |
| Part 03-Module 01-Lesson 01_Voice User Interfaces/10. Language Models-vrrP9fzJGSE.en.vtt | 981 B |
| Part 07-Module 01-Lesson 03_Speech Recognition/16. Language Models-vrrP9fzJGSE.en.vtt | 981 B |
| Part 05-Module 01-Lesson 04_Text Processing/14. Summary-zKYEvRd2XmI.zh-CN.vtt | 984 B |
| Part 05-Module 01-Lesson 04_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt | 1 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt | 1 KB |
| Part 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.pt-BR.vtt | 1.02 KB |
| Part 05-Module 01-Lesson 03_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt | 1.03 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/01. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt | 1.03 KB |
| Part 07-Module 01-Lesson 03_Speech Recognition/24. Outro-xMXF5PQxHnk.zh-CN.vtt | 1.05 KB |
| Part 05-Module 01-Lesson 04_Text Processing/01. Text Processing-6LO6I5M18PQ.zh-CN.vtt | 1.06 KB |
| Part 06-Module 01-Lesson 02_Topic Modeling/11. Latent Dirichlet Alocation-2wn8pNa6mg0.en.vtt | 1.08 KB |
| Part 05-Module 01-Lesson 03_Intro to NLP/12. Modeling-P4w_2rkxBvE.zh-CN.vtt | 1.09 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/06. Modeling-P4w_2rkxBvE.zh-CN.vtt | 1.09 KB |
| Part 05-Module 01-Lesson 04_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.en.vtt | 1.1 KB |
| Part 06-Module 01-Lesson 01_Feature extraction and embeddings/01. Feature Extraction-Bd6TJB8eVLQ.en.vtt | 1.1 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition-QUQu2nsE7vE.en.vtt | 1.1 KB |
| Part 05-Module 01-Lesson 04_Text Processing/14. Summary-zKYEvRd2XmI.en.vtt | 1.11 KB |
| Part 05-Module 01-Lesson 05_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.zh-CN.vtt | 1.12 KB |
| Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.zh-CN.vtt | 1.12 KB |
| Part 05-Module 01-Lesson 03_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.en.vtt | 1.17 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/01. Natural Language Processing-UQBxJzoCp-I.en.vtt | 1.17 KB |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt | 1.18 KB |
| Part 07-Module 01-Lesson 03_Speech Recognition/24. Outro-xMXF5PQxHnk.en.vtt | 1.18 KB |
| Part 05-Module 01-Lesson 04_Text Processing/01. Text Processing-6LO6I5M18PQ.en.vtt | 1.18 KB |
| Part 07-Module 01-Lesson 03_Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.zh-CN.vtt | 1.2 KB |
| Part 06-Module 01-Lesson 01_Feature extraction and embeddings/04. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt | 1.21 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/12. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt | 1.21 KB |
| Part 05-Module 01-Lesson 03_Intro to NLP/01. Intro Arpan-MW5MWOLj064.zh-CN.vtt | 1.21 KB |
| Part 05-Module 01-Lesson 05_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.pt-BR.vtt | 1.21 KB |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt | 1.22 KB |
| Part 05-Module 01-Lesson 03_Intro to NLP/01. Intro Arpan-MW5MWOLj064.en.vtt | 1.23 KB |
| Part 11-Module 01-Lesson 01_TensorFlow/img/linear-equation.gif | 1.23 KB |
| Part 05-Module 01-Lesson 05_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt | 1.23 KB |
| Part 05-Module 01-Lesson 04_Text Processing/01. Text Processing-6LO6I5M18PQ.pt-BR.vtt | 1.24 KB |
| Part 05-Module 01-Lesson 04_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt | 1.25 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt | 1.25 KB |
| Part 05-Module 01-Lesson 04_Text Processing/14. Summary-zKYEvRd2XmI.pt-BR.vtt | 1.25 KB |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.zh-CN.vtt | 1.26 KB |
| Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.en.vtt | 1.26 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/13. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt | 1.26 KB |
| Part 06-Module 01-Lesson 01_Feature extraction and embeddings/05. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt | 1.26 KB |
| Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/09. NLPND POS 08 Quiz How Many Paths Now V1-TSm1a_EL9Kk.zh-CN.vtt | 1.28 KB |
| Part 02-Module 01-Lesson 01_Building an NLP Pipeline/06. Modeling-P4w_2rkxBvE.en.vtt | 1.29 KB |
| Part 05-Module 01-Lesson 03_Intro to NLP/12. Modeling-P4w_2rkxBvE.en.vtt | 1.29 KB |
| Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt | 1.3 KB |
| Part 05-Module 01-Lesson 03_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt | 1.3 KB |
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