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CourseClub Me Udacity Natural Language Processing Nanodegree v1

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[CourseClub.Me] Udacity - Natural Language Processing Nanodegree v1.0.0

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Total Files

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/Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/

01. Program Syllabus.html

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02. School of AI Team.html

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03. NLP Overview.html

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03. Welcome to NLP-g-AlFF61p0I.en.vtt

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03. Welcome to NLP-g-AlFF61p0I.mp4

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03. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt

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04. Context Is Everything.html

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04. Context-J-4pfu2w1C0.en.vtt

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04. Context-J-4pfu2w1C0.mp4

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04. Context-J-4pfu2w1C0.zh-CN.vtt

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05. NLP and IBM Watson.html

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05. Natural Language Processing-sQiURKPFXNM.en.vtt

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05. Natural Language Processing-sQiURKPFXNM.mp4

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05. Natural Language Processing-sQiURKPFXNM.zh-CN.vtt

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06. Towards Augmented Intelligence-6y2B8VKoGTw.en.vtt

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06. Towards Augmented Intelligence-6y2B8VKoGTw.mp4

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06. Towards Augmented Intelligence-6y2B8VKoGTw.zh-CN.vtt

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06. Towards Augmented Intelligence.html

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index.html

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/img/

nlp-word-cloud.png

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screen-shot-2018-03-22-at-2.19.44-pm.png

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/Part 02-Module 01-Lesson 01_Building an NLP Pipeline/

01. NLP and Pipelines.html

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01. Natural Language Processing-UQBxJzoCp-I.en.vtt

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01. Natural Language Processing-UQBxJzoCp-I.mp4

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01. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt

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01. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt

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02. How NLP Pipelines Work.html

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02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt

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02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4

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02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt

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02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt

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03. Text Processing-pqheVyctkNQ.en.vtt

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03. Text Processing-pqheVyctkNQ.mp4

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03. Text Processing-pqheVyctkNQ.pt-BR.vtt

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03. Text Processing-pqheVyctkNQ.zh-CN.vtt

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03. Text Processing.html

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04. Counting Words.html

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05. Feature Extraction-UgENzCmfFWE.en.vtt

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05. Feature Extraction-UgENzCmfFWE.mp4

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05. Feature Extraction-UgENzCmfFWE.pt-BR.vtt

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05. Feature Extraction-UgENzCmfFWE.zh-CN.vtt

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05. Feature Extraction.html

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06. Modeling-P4w_2rkxBvE.en.vtt

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06. Modeling-P4w_2rkxBvE.mp4

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06. Modeling-P4w_2rkxBvE.pt-BR.vtt

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06. Modeling-P4w_2rkxBvE.zh-CN.vtt

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06. Modeling.html

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07. Quiz Split Sentences.html

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08. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt

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08. Part-of-Speech Tagging-WFEu8bXI5OA.mp4

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08. Part-of-Speech Tagging-WFEu8bXI5OA.pt-BR.vtt

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08. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt

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08. Part-of-Speech Tagging.html

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09. Named Entity Recognition-QUQu2nsE7vE.en.vtt

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09. Named Entity Recognition-QUQu2nsE7vE.mp4

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09. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt

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09. Named Entity Recognition.html

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10. Bag Of Words-A7M1z8yLl0w.en.vtt

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10. Bag Of Words-A7M1z8yLl0w.mp4

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10. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt

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10. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt

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10. Bag of Words.html

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11. TF-IDF-XZBiBIRcACE.en.vtt

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11. TF-IDF-XZBiBIRcACE.mp4

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11. TF-IDF-XZBiBIRcACE.zh-CN.vtt

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11. TF-IDF.html

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12. One-Hot Encoding-a0j1CDXFYZI.en.vtt

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12. One-Hot Encoding-a0j1CDXFYZI.mp4

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12. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt

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12. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt

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12. One-Hot Encoding.html

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13. Word Embeddings-4mM_S9L2_JQ.en.vtt

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13. Word Embeddings-4mM_S9L2_JQ.mp4

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13. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt

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13. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt

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13. Word Embeddings.html

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14. T-SNE-xxcK8oZ6_WE.en.vtt

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14. T-SNE-xxcK8oZ6_WE.zh-CN.vtt

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14. t-SNE.html

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index.html

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/Part 03-Module 01-Lesson 01_Voice User Interfaces/

01. Welcome to Voice User Interfaces!.html

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01. Welcome-zYDIgmGo4Xc.en.vtt

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01. Welcome-zYDIgmGo4Xc.mp4

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01. Welcome-zYDIgmGo4Xc.zh-CN.vtt

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02. VUI Overview-w5QGti1LHzc.en.vtt

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02. VUI Overview-w5QGti1LHzc.mp4

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02. VUI Overview-w5QGti1LHzc.zh-CN.vtt

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02. VUI Overview.html

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03. VUI Applications-wZLP8cdiA2Y.en.vtt

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03. VUI Applications-wZLP8cdiA2Y.mp4

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03. VUI Applications-wZLP8cdiA2Y.zh-CN.vtt

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03. VUI Applications.html

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04. Conversational AI with Alexa-1EU8jusdLZI.en.vtt

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04. Conversational AI with Alexa-1EU8jusdLZI.mp4

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04. Conversational AI with Alexa-1EU8jusdLZI.zh-CN.vtt

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04. Conversational AI with Alexa.html

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05. Lab Space Geek.html

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06. Challenges in ASR-59nKRkvk6As.en.vtt

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06. Challenges in ASR-59nKRkvk6As.mp4

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06. Challenges in ASR-59nKRkvk6As.zh-CN.vtt

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06. Challenges in ASR.html

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07. Phonetics-v3lz8t0ZWnQ.en.vtt

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07. Phonetics-v3lz8t0ZWnQ.mp4

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07. Phonetics-v3lz8t0ZWnQ.zh-CN.vtt

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07. Phonetics.html

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08. Quiz Phonetics.html

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09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.en.vtt

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09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4

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09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.zh-CN.vtt

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09. Acoustic Models and the Trouble with Time.html

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10. Language Models-vrrP9fzJGSE.en.vtt

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10. Language Models-vrrP9fzJGSE.mp4

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10. Language Models-vrrP9fzJGSE.zh-CN.vtt

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10. Language Models.html

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11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.en.vtt

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11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4

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11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.zh-CN.vtt

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11. Deep Neural Networks as Speech Models.html

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index.html

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/img/

alexa-lab-overview2.png

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/Part 04-Module 01-Lesson 01_What's Next/

01. Ready to Level Up with NLP.html

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index.html

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/img/

aind-slides.008.1200x900.jpg

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/Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/

01. Intro NLP-6myHs4e71Ys.en.vtt

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01. Intro NLP-6myHs4e71Ys.mp4

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01. Intro NLP-6myHs4e71Ys.zh-CN.vtt

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01. Welcome to the Natural Language Processing Nanodegree.html

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02. Deadline Policy.html

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03. Community Guidelines.html

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04. Lesson Plan - Week 1.html

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index.html

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/img/

screen-shot-2018-08-13-at-5.51.37-pm.png

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/Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/

01. What It Takes.html

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02. Reviews.html

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03. Knowledge.html

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04. Student Hub.html

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index.html

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/img/

image4.png

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image8.png

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screen-shot-2018-11-07-at-10.23.07-pm.png

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screen-shot-2018-11-07-at-9.55.40-pm.png

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screen-shot-2018-11-07-at-9.59.16-pm.png

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screen-shot-2018-11-09-at-6.28.07-pm.png

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/Part 05-Module 01-Lesson 03_Get Help with Your Account/

01. FAQ.html

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02. Support.html

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index.html

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/img/

screen-shot-2018-11-09-at-7.38.47-pm.png

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screen-shot-2018-11-09-at-7.48.22-pm.png

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screen-shot-2018-11-09-at-7.49.34-pm.png

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screen-shot-2018-11-09-at-7.49.50-pm.png

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/Part 05-Module 01-Lesson 04_Intro to NLP/

01. Intro Arpan-MW5MWOLj064.en.vtt

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01. Intro Arpan-MW5MWOLj064.mp4

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01. Intro Arpan-MW5MWOLj064.zh-CN.vtt

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01. Introducing Arpan.html

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02. NLP Overview.html

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02. Welcome to NLP-g-AlFF61p0I.en.vtt

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02. Welcome to NLP-g-AlFF61p0I.mp4

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02. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt

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03. Structured Languages-NsmqUIHlk6U.en.vtt

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03. Structured Languages-NsmqUIHlk6U.mp4

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03. Structured Languages-NsmqUIHlk6U.zh-CN.vtt

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03. Structured Languages.html

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04. Grammar-Jw3dA7xmoQ4.en.vtt

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04. Grammar-Jw3dA7xmoQ4.mp4

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04. Grammar-Jw3dA7xmoQ4.zh-CN.vtt

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04. Grammar.html

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05. Unstructured Text-OmwSdaec5vU.en.vtt

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05. Unstructured Text-OmwSdaec5vU.mp4

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05. Unstructured Text-OmwSdaec5vU.zh-CN.vtt

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05. Unstructured Text.html

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06. Counting Words.html

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07. Context Is Everything.html

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07. Context-J-4pfu2w1C0.en.vtt

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07. Context-J-4pfu2w1C0.mp4

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07. Context-J-4pfu2w1C0.zh-CN.vtt

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08. NLP and Pipelines.html

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08. Natural Language Processing-UQBxJzoCp-I.en.vtt

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08. Natural Language Processing-UQBxJzoCp-I.mp4

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08. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt

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08. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt

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09. How NLP Pipelines Work.html

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09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt

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09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4

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09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt

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10. Text Processing-pqheVyctkNQ.en.vtt

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10. Text Processing-pqheVyctkNQ.mp4

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10. Text Processing-pqheVyctkNQ.pt-BR.vtt

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10. Text Processing-pqheVyctkNQ.zh-CN.vtt

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10. Text Processing.html

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11. Feature Extraction-UgENzCmfFWE.en.vtt

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11. Feature Extraction-UgENzCmfFWE.mp4

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11. Feature Extraction-UgENzCmfFWE.pt-BR.vtt

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11. Feature Extraction-UgENzCmfFWE.zh-CN.vtt

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11. Feature Extraction.html

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12. Modeling-P4w_2rkxBvE.en.vtt

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12. Modeling-P4w_2rkxBvE.mp4

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12. Modeling-P4w_2rkxBvE.pt-BR.vtt

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12. Modeling-P4w_2rkxBvE.zh-CN.vtt

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12. Modeling.html

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index.html

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/Part 05-Module 01-Lesson 05_Text Processing/

01. Text Processing-6LO6I5M18PQ.en.vtt

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01. Text Processing-6LO6I5M18PQ.mp4

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01. Text Processing-6LO6I5M18PQ.pt-BR.vtt

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01. Text Processing-6LO6I5M18PQ.zh-CN.vtt

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01. Text Processing.html

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02. Coding Exercises.html

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03. Introduction to GPU Workspaces.html

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04. Workspaces Best Practices.html

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05. Text Processing Coding Examples.html

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06. Capturing Text Data-Z4mnMN1ApG4.en.vtt

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06. Capturing Text Data-Z4mnMN1ApG4.mp4

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06. Capturing Text Data-Z4mnMN1ApG4.zh-CN.vtt

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06. Capturing Text Data.html

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07. Cleaning-qawXp9DPV6I.en.vtt

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07. Cleaning-qawXp9DPV6I.mp4

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07. Cleaning-qawXp9DPV6I.pt-BR.vtt

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07. Cleaning.html

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08. Normalization-eOV2UUY8vtM.en.vtt

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08. Normalization-eOV2UUY8vtM.mp4

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08. Normalization-eOV2UUY8vtM.pt-BR.vtt

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08. Normalization.html

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09. Tokenization-4Ieotbeh4u8.en.vtt

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09. Tokenization.html

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10. Stop Word Removal-WAU_Ij0GJbw.en.vtt

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10. Stop Word Removal-WAU_Ij0GJbw.mp4

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10. Stop Word Removal.html

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11. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt

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11. Part-of-Speech Tagging-WFEu8bXI5OA.mp4

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11. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt

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11. Part-of-Speech Tagging.html

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12. Named Entity Recognition-QUQu2nsE7vE.en.vtt

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12. Named Entity Recognition-QUQu2nsE7vE.mp4

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12. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt

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12. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt

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12. Named Entity Recognition.html

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13. Stemming And Lemmatization-7Gjf81u5hmw.en.vtt

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13. Stemming And Lemmatization-7Gjf81u5hmw.mp4

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13. Stemming And Lemmatization-7Gjf81u5hmw.zh-CN.vtt

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13. Stemming and Lemmatization.html

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14. Summary-zKYEvRd2XmI.en.vtt

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14. Summary-zKYEvRd2XmI.mp4

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14. Summary.html

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index.html

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/img/

jupyter-logo.png

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workspaces-gpu.png

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workspaces-jupyter.png

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workspaces-menu.png

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workspaces-new.png

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workspaces-notebook.png

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workspaces-submit.png

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workspaces-terminal.png

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/Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/

01. Intro.html

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01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt

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01. Naive Bayes Intro V2-vNOiQXghgRY.mp4

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01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt

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02. Guess the Person.html

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02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt

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02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4

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02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt

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02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt

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03. Known and Inferred.html

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03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt

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03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4

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04. Guess the Person Now.html

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04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt

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04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4

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04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt

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05. Bayes Theorem.html

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05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt

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05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4

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05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt

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06. Quiz False Positives.html

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06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt

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06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4

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07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt

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07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt

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07. Solution False Positives.html

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08. Bayesian Learning 1.html

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08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt

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08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4

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09. Bayesian Learning 2.html

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09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt

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09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4

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10. Bayesian Learning 3.html

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10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt

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11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt

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11. Naive Bayes Algorithm 1.html

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12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt

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12. Naive Bayes Algorithm 2.html

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13. Building a Spam Classifier.html

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14. Project.html

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15. Spam Classifier - Workspace.html

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16. Outro.html

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index.html

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/Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/

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01. Intro.html

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02. Part of Speech Tagging.html

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03. Lookup Table.html

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04. Bigrams.html

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05. When bigrams won't work.html

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06. Hidden Markov Models.html

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07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.en.vtt

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10. Quiz Which path is more likely.html

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11. Solution Which path is more likely.html

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12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.en.vtt

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13. Viterbi Algorithm.html

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14. Further Reading.html

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index.html

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/Part 05-Module 01-Lesson 08_Project Part of Speech Tagging/

01. Lesson Plan - Week 3.html

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02. Introduction.html

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03. Workspace Part of Speech Tagging.html

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Project Description - Part of Speech Tagging.html

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Project Rubric - Part of Speech Tagging.html

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index.html

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/Part 05-Module 01-Lesson 09_(Optional) IBM Watson Bookworm Lab/

01. Overview.html

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02. Getting Started.html

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index.html

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/img/

watson-logo.png

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/Part 05-Module 02-Lesson 01_Nanodegree Career Services/

01. Access the Career Portal.html

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02. Prepare for the Udacity Talent Program.html

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index.html

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/img/

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profiles-view.png

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screen-shot-2019-02-26-at-4.09.24-pm.png

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talent-program.png

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/Part 05-Module 02-Lesson 02_Jobs in NLP/

01. Jobs in NLP.html

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02. Meet the Careers Team-cuKecPpZ7PM.en.vtt

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03. Access Your Career Portal.html

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04. Your Udacity Professional Profile.html

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index.html

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/Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/

01. Prove Your Skills With GitHub.html

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04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt

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05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt

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06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt

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07. Quick Fixes #1.html

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09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt

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10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt

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10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4

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10. Interview with Art - Part 2.html

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11. Commit messages best practices.html

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13. Participating in open source projects-OxL-gMTizUA.ar.vtt

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14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt

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14. Interview with Art - Part 3-M6PKr3S1rPg.mp4

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14. Interview with Art - Part 3.html

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15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt

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15. Participating in open source projects 2.html

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16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt

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16. Starring interesting repositories.html

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17. Next Steps.html

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Project Description - Optimize Your GitHub Profile.html

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Project Rubric - Optimize Your GitHub Profile.html

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index.html

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/Part 06-Module 01-Lesson 01_Feature extraction and embeddings/

01. Feature Extraction-Bd6TJB8eVLQ.en.vtt

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02. Bag Of Words-A7M1z8yLl0w.en.vtt

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03. TF-IDF-XZBiBIRcACE.en.vtt

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04. One-Hot Encoding-a0j1CDXFYZI.en.vtt

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05. Word Embeddings-4mM_S9L2_JQ.en.vtt

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08. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt

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09. T-SNE-xxcK8oZ6_WE.en.vtt

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index.html

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/Part 06-Module 01-Lesson 02_Topic Modeling/

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02. References.html

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07. Quiz Picking Topics-aMNNHZ1Z-FA.en.vtt

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09. Beta Distributions-jR4sf50AFio.en.vtt

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10. Dirichlet Distributions.html

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10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.en.vtt

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10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.mp4

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11. Latent Dirichlet Allocation.html

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12. Sample A Topic-Ft2YjIlpF1A.en.vtt

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14. Combining the Models-KRjuchtNilM.en.vtt

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14. Combining the Models-KRjuchtNilM.mp4

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15. Outro-y8vecBYUFPo.en.vtt

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15. Outro-y8vecBYUFPo.mp4

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15. Outro.html

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16. Notebook Topic Modeling.html

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17. [SOLUTION] Topic Modeling.html

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18. Next Steps.html

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index.html

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/Part 06-Module 01-Lesson 03_Sentiment Analysis/

01. Intro-MXeF39TDdZY.en.vtt

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01. Intro-MXeF39TDdZY.mp4

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01. Intro-MXeF39TDdZY.zh-CN.vtt

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01. Intro.html

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02. Sentiment Analysis 1-5aIgZ3llgSo.en.vtt

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02. Sentiment Analysis 1-5aIgZ3llgSo.mp4

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02. Sentiment Analysis with a Regular Classifier.html

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03. Notebook Sentiment Analysis with a regular classifier.html

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04. [SOLUTION] Sentiment Analysis with a regular clas.html

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05. Sentiment Analysis RNN GIF-GZWyEHOdZ0w.mp4

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05. Sentiment Analysis with RNN.html

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06. Notebook Sentiment Analysis with an RNN.html

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07. [SOLUTION] Sentiment Analysis with an RNN.html

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08. Optional Material.html

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09. Outro.html

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/Part 06-Module 01-Lesson 04_Sequence to Sequence/

01. Introducing Jay Alammar.html

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02. Previous Material.html

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03. Jay Introduction.html

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04. Applications seq2seq-tDJBDwriJYQ.en.vtt

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05. Architecture encoder decoder-dkHdEAJnV_w.en.vtt

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05. Architectures.html

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06. Architecture in More Depth-rdAo4MqLbEk.en.vtt

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07. Outro.html

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/Part 06-Module 01-Lesson 05_Deep Learning Attention/

01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt

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02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.en.vtt

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03. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt

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09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt

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09. Bahdanau and Luong Attention.html

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11. Additive Attention.html

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12. Additive and Multiplicative Attention.html

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13. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt

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13. Computer Vision Applications.html

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14. NLP Application Google Neural Machine Translation.html

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15. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt

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15. Other Attention Methods.html

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16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt

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16. The Transformer and Self-Attention.html

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17. Notebook Attention Basics.html

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18. [SOLUTION] Attention Basics.html

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19. Outro.html

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index.html

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/Part 06-Module 01-Lesson 06_RNN Keras Lab/

01. Intro.html

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02. Machine Translation.html

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03. Deciphering Code with character-level RNNs.html

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04. [SOLUTION] Deciphering code with character-level RNNs.html

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05. Congratulations!.html

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index.html

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/img/

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/Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/

01. Overview.html

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03. Get Access to GPU Instances.html

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index.html

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/Part 06-Module 01-Lesson 08_Project Machine Translation/

01. Introduction to GPU Workspaces.html

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02. Workspaces Best Practices.html

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03. NLP Machine Translation Workspace.html

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04. Project Machine Translation.html

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Project Description - Project Machine Translation.html

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Project Rubric - Project Machine Translation.html

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index.html

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/Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/

01. Get Opportunities with LinkedIn.html

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01. Why Network-exjEm9Paszk.ar.vtt

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01. Why Network-exjEm9Paszk.mp4

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02. Meet Chris-0ccflD9x5WU.ar.vtt

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02. Meet Chris-0ccflD9x5WU.mp4

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02. Use Your Story to Stand Out.html

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03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt

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03. Elevator Pitch-S-nAHPrkQrQ.mp4

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03. Why Use an Elevator Pitch.html

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04. Create Your Elevator Pitch.html

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04. Elevator Pitch-0QtgTG49E9I.ar.vtt

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04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt

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05. Use Your Elevator Pitch on LinkedIn.html

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06. Create Your Profile With SEO In Mind.html

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07. Profile Essentials.html

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08. Work Experiences Accomplishments.html

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09. Build and Strengthen Your Network.html

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10. Reaching Out on LinkedIn.html

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11. Boost Your Visibility.html

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12. Up Next.html

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Project Description - Improve Your LinkedIn Profile.html

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Project Rubric - Improve Your LinkedIn Profile.html

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index.html

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/img/

profile-pics.jpg

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/Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/

01. Welcome to Voice User Interfaces!.html

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01. Welcome-zYDIgmGo4Xc.mp4

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02. VUI Overview-w5QGti1LHzc.en.vtt

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03. VUI Applications-wZLP8cdiA2Y.en.vtt

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index.html

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/Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/

01. Overview.html

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02. Getting Started.html

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03. Tasks.html

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04. Deploying Your Skill.html

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index.html

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/img/

alexa-interaction-model.png

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alexa-lambda-function-code.png

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alexa-simulator.png

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/media/

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/Part 07-Module 01-Lesson 03_Speech Recognition/

01. Intro.html

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01. Introduction to Speech Recognition-EcsLCpnGBGs.en.vtt

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01. Introduction to Speech Recognition-EcsLCpnGBGs.mp4

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02. Challenges in ASR-59nKRkvk6As.en.vtt

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03. Signal Analysis-AJKKQJZsb7o.en.vtt

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03. Signal Analysis.html

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04. References Signal Analysis.html

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05. Quiz FFT.html

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06. Feature Extraction with MFCC.html

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07. References Feature Extraction.html

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08. Quiz MFCC.html

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09. Phonetics-v3lz8t0ZWnQ.en.vtt

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09. Phonetics-v3lz8t0ZWnQ.mp4

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09. Phonetics.html

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10. References Phonetics.html

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12. Voice Data Lab Introduction-9072Yx9hOXk.en.vtt

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13. Lab Voice Data.html

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14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.en.vtt

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14. Acoustic Models and the Trouble with Time.html

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15. HMMs in Speech Recognition-9H2wP7g9d1g.en.vtt

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15. HMMs in Speech Recognition-9H2wP7g9d1g.mp4

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15. HMMs in Speech Recognition-9H2wP7g9d1g.zh-CN.vtt

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15. HMMs in Speech Recognition.html

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16. Language Models-vrrP9fzJGSE.en.vtt

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16. Language Models-vrrP9fzJGSE.mp4

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16. Language Models.html

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17. N-Grams-cSP1p9wWhHg.en.vtt

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17. N-Grams-cSP1p9wWhHg.mp4

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17. N-Grams-cSP1p9wWhHg.zh-CN.vtt

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17. N-Grams.html

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18. Quiz N-Grams.html

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19. References Traditional ASR.html

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20. A New Paradigm-ojI5SVJ7Pas.en.vtt

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20. A New Paradigm-ojI5SVJ7Pas.mp4

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20. A New Paradigm-ojI5SVJ7Pas.zh-CN.vtt

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20. A New Paradigm.html

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21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.en.vtt

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21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4

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21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.zh-CN.vtt

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21. Deep Neural Networks as Speech Models.html

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22. Connectionist Tempora Classification (CTC).html

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23. References Deep Neural Network ASR.html

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24. Outro-xMXF5PQxHnk.en.vtt

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24. Outro-xMXF5PQxHnk.mp4

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24. Outro.html

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index.html

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/img/

ctcfunction.png

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eqn-addone-bigram-smoothing.png

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eqn-bigram-mle.png

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eqn-jointprob-words-in-sentence.png

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fft.png

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fourier-analysis.png

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helloworld-signal.png

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helloworld-spectrogram.png

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hmm.png

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hmmstates.png

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mel-scale.png

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mfcc.png

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ngrams-numbers.png

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ngrams.png

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normalized-mfcc.png

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phonetics.png

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raw-audio.png

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rnndist.png

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sound.png

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source-filter-model.png

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spectrogram.png

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sum-of-components.png

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sv-controls.png

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sv-sentences.png

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two-speechsignals-aligned.png

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/Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/

01. Overview.html

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02. Introduction to GPU Workspaces.html

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03. Workspaces Best Practices.html

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04. Tasks.html

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05. VUI Speech Recognizer Workspace.html

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Project Description - Project DNN Speech Recognizer.html

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Project Rubric - Project DNN Speech Recognizer.html

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index.html

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/img/

jupyter-logo.png

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pipeline.png

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workspaces-gpu.png

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workspaces-jupyter.png

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workspaces-menu.png

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/Part 08-Module 01-Lesson 01_Recurrent Neural Networks/

01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.en.vtt

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01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4

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01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.pt-BR.vtt

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01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.zh-CN.vtt

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01. Introducing Ortal .html

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02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt

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02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4

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02. 01 RNN Intro V6 Final-AIQEqg6F38A.pt-BR.vtt

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02. 01 RNN Intro V6 Final-AIQEqg6F38A.zh-CN.vtt

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02. RNN Introduction.html

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03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt

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03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4

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03. RNN History.html

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04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt

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04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4

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04. RNN Applications.html

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05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt

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05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4

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05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt

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05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4

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05. Feedforward Neural Network-Reminder.html

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06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt

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06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4

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06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt

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06. The Feedforward Process.html

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07. Feedforward Quiz.html

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08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt

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08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4

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08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt

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08. Backpropagation- Theory.html

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09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt

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09. Backpropagation - Example (part a).html

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09. Regra da cadeia-YAhIBOnbt54.mp4

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10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt

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10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4

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10. Backpropagation- Example (part b).html

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11. Backpropagation Quiz.html

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12. RNN (part a).html

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12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt

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12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4

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13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt

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13. 16 RNN B V4 Final-wsif3p5t7CI.mp4

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13. RNN (part b).html

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14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt

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14. RNN- Unfolded Model.html

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15. Unfolded Model Quiz.html

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16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt

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16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4

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16. RNN- Example.html

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17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt

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17. Backpropagation Through Time (part a).html

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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt

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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4

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18. Backpropagation Through Time (part b).html

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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt

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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4

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19. Backpropagation Through Time (part c).html

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20. BPTT Quiz 1.html

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21. BPTT Quiz 2.html

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22. BPTT Quiz 3.html

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23. Some more math.html

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24. RNN Summary-nXP0oGGRrO8.en.vtt

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24. RNN Summary-nXP0oGGRrO8.mp4

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24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt

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24. RNN Summary.html

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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt

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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4

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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.zh-CN.vtt

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25. From RNN to LSTM.html

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26. Wrap Up.html

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index.html

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/img/

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/Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/

01. Intro to LSTM.html

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02. RNN Vs LSTM-70MgF-IwAr8.en.vtt

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02. RNN Vs LSTM-70MgF-IwAr8.mp4

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02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt

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02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt

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02. RNN vs LSTM.html

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03. Basics of LSTM.html

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03. LSTM Basics-gjb68a4XsqE.en.vtt

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03. LSTM Basics-gjb68a4XsqE.mp4

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03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt

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03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt

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04. Architecture of LSTM.html

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04. LSTM Architecture-ycwthhdx8ws.en.vtt

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04. LSTM Architecture-ycwthhdx8ws.mp4

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04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt

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04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt

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05. Learn Gate-aVHVI7ovbHY.en.vtt

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05. Learn Gate-aVHVI7ovbHY.mp4

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05. The Learn Gate.html

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06. The Forget Gate.html

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07. Remember Gate-0qlm86HaXuU.en.vtt

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07. Remember Gate-0qlm86HaXuU.mp4

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07. The Remember Gate.html

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08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt

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08. The Use Gate.html

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10. Quiz.html

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11. Other Architectures-MsxFDuYlTuQ.en.vtt

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12. Outro LSTM.html

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index.html

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meme.png

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/Part 08-Module 01-Lesson 03_Hyperparameters/

01. Introducing Jay.html

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02. Introduction-erwnzFD7AeE.en.vtt

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02. Introduction-erwnzFD7AeE.mp4

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02. Introduction.html

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03. Learning Rate-HLMjeDez7ps.en.vtt

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03. Learning Rate-HLMjeDez7ps.mp4

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03. Learning Rate-HLMjeDez7ps.pt-BR.vtt

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03. Learning Rate.html

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05. Minibatch Size-GrrO1NFxaW8.en.vtt

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05. Minibatch Size.html

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06. Number Of Iterations-TTdHpSb4DV8.en.vtt

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06. Number of Training Iterations Epochs.html

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07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt

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08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt

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10. Sources References.html

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index.html

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/img/

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/Part 09-Module 01-Lesson 01_Keras/

01. Intro.html

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02. Keras.html

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03. Pre-Lab Student Admissions in Keras.html

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04. Lab Student Admissions in Keras.html

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05. Optimizers in Keras.html

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06. Keras Lab-a50un22BsLI.en.vtt

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06. Keras Lab-a50un22BsLI.mp4

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06. Mini Project Intro.html

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07. Pre-Lab IMDB Data in Keras.html

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08. Lab IMDB Data in Keras.html

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index.html

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/img/

all-ranks.png

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data.png

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meme.png

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/Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/

01. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt

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01. Andrew Trask - Intro-da1I0mea1jQ.mp4

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01. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt

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01. Meet Andrew.html

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02. Materials.html

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03. The Notebooks.html

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04. Framing the Problem-IsTOnkAKaJw.en.vtt

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05. Mini Project 1.html

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08. Mini Project 2.html

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10. Building a Neural Network-aM2k7RTjjJI.en.vtt

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10. Building a Neural Network.html

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11. Mini Project 3.html

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13. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt

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14. Mini Project 4.html

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15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt

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15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4

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16. Mini Project 5.html

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18. Further Noise Reduction-Kl3hWxizKVg.en.vtt

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18. Further Noise Reduction-Kl3hWxizKVg.mp4

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18. Further Noise Reduction.html

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19. Mini Project 6.html

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20. Mini Project 6 Solution-ji0famK7gOQ.en.vtt

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21. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt

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22. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt

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22. Conclusion.html

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index.html

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/Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/

01. Intro.html

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02. Sentiment Prediction-uGN3rZJRiMY.en.vtt

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02. Sentiment Prediction-uGN3rZJRiMY.mp4

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02. Sentiment RNN.html

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03. Data Preprocessing-h4-LwZU9_k8.en.vtt

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04. Creating Testing Sets-BRBbrNLz1ho.en.vtt

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05. Building The RNN 1-XTD6slf64fM.en.vtt

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06. Training The Network-nknJ3Xu3ld0.en.vtt

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07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt

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07. Solutions.html

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/Part 11-Module 01-Lesson 01_TensorFlow/

01. Intro.html

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02. Installing TensorFlow.html

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03. Hello, Tensor World!.html

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04. Quiz TensorFlow Linear Function.html

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05. Quiz TensorFlow Softmax.html

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06. Quiz TensorFlow Cross Entropy.html

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07. Quiz Mini-batch.html

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08. Epochs.html

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09. Pre-Lab NotMNIST in TensorFlow.html

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10. Lab NotMNIST in TensorFlow.html

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11. Two-layer Neural Network.html

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12. Quiz TensorFlow ReLUs.html

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13. Deep Neural Network in TensorFlow.html

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14. Save and Restore TensorFlow Models.html

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15. Finetuning.html

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16. Quiz TensorFlow Dropout.html

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17. Conclusion-wOiUQDgGD9E.en.vtt

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17. Conclusion-wOiUQDgGD9E.mp4

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/Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/

01. Additional NLP Lessons.html

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02. Embeddings Intro.html

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03. Implementing Word2Vec-7M431_f9HgE.en.vtt

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04. Subsampling Solution-MAUM_mV_lj8.en.vtt

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index.html

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/img/

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/Part 13-Module 01-Lesson 01_Project Part of Speech Tagging/

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Project Description - Part of Speech Tagging.html

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Project Rubric - Part of Speech Tagging.html

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index.html

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bootstrap.min.css

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