Udacity Natural Language Processing Nanodegree nd892 v1 | 8F33D1B267E22E33836450AFA471C899046CF6BD

Udacity Natural Language Processing Nanodegree nd892 v1

Name	Udacity - Natural Language Processing Nanodegree nd892 v1.0.0	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.9 GB
Total Files	1521
Hash	8F33D1B267E22E33836450AFA471C899046CF6BD

/Part 05-Module 02-Lesson 02_Optimize Your GitHub Profile/
06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt	0.4 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt	0.4 KB
16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt	0.4 KB
08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt	0.4 KB
16. Starring interesting repositories-U3FUxkm1MxI.en.vtt	0.4 KB
08. Quick Fixes #2-It6AEuSDQw0.en.vtt	0.4 KB
13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt	0.4 KB
08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt	0.5 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt	0.5 KB
16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt	0.5 KB
12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt	0.5 KB
13. Participating in open source projects-OxL-gMTizUA.en.vtt	0.5 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt	0.5 KB
12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt	0.5 KB
12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt	0.5 KB
16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt	0.5 KB
13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt	0.6 KB
16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt	0.6 KB
08. Quick Fixes #2-It6AEuSDQw0.ar.vtt	0.6 KB
16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt	0.6 KB
12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt	0.7 KB
16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt	0.7 KB
13. Participating in open source projects-OxL-gMTizUA.ar.vtt	0.8 KB
16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt	0.8 KB
09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt	1.2 KB
09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt	1.3 KB
15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt	1.3 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt	1.3 KB
09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt	1.4 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt	1.4 KB
15. Participating in open source projects 2-elZCLxVvJrY.en.vtt	1.5 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt	1.5 KB
09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt	1.5 KB
02. Introduction-Vnj2VNQROtI.en.vtt	1.6 KB
02. Introduction-Vnj2VNQROtI.zh-CN.vtt	1.7 KB
15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt	1.7 KB
02. Introduction-Vnj2VNQROtI.pt-BR.vtt	1.8 KB
07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt	1.9 KB
07. Quick Fixes-Lb9e2KemR6I.en.vtt	1.9 KB
04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt	2.0 KB
04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt	2.0 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt	2.0 KB
07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt	2.1 KB
04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt	2.1 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt	2.1 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt	2.2 KB
15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt	2.2 KB
02. Introduction-Vnj2VNQROtI.ar.vtt	2.3 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt	2.5 KB
04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt	2.6 KB
07. Quick Fixes-Lb9e2KemR6I.ar.vtt	2.7 KB
03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt	2.7 KB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt	2.9 KB
03. GitHub profile important items-prvPVTjVkwQ.en.vtt	3.0 KB
03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt	3.2 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt	3.5 KB
14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt	3.8 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt	3.9 KB
03. GitHub profile important items-prvPVTjVkwQ.ar.vtt	4.0 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt	4.1 KB
14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt	4.2 KB
14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt	4.7 KB
05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt	4.7 KB
index.html	5.4 KB
14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt	5.5 KB
07. Quick Fixes #1.html	7.1 KB
04. Good GitHub repository.html	7.2 KB
05. Interview with Art - Part 1.html	7.2 KB
10. Interview with Art - Part 2.html	7.2 KB
14. Interview with Art - Part 3.html	7.2 KB
15. Participating in open source projects 2.html	7.3 KB
09. Writing READMEs with Walter.html	7.5 KB
02. Introduction.html	7.5 KB
03. GitHub profile important items.html	7.5 KB
13. Participating in open source projects.html	7.6 KB
17. Next Steps.html	7.7 KB
12. Reflect on your commit messages.html	7.8 KB
08. Quick Fixes #2.html	8.1 KB
Project Description - Optimize Your GitHub Profile.html	8.4 KB
16. Starring interesting repositories.html	8.7 KB
Project Rubric - Optimize Your GitHub Profile.html	9.2 KB
11. Commit messages best practices.html	9.6 KB
06. Identify fixes for example “bad” profile.html	10.2 KB
01. Prove Your Skills With GitHub.html	10.7 KB
06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4	583.0 KB
06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4	1.7 MB
08. Quick Fixes #2-It6AEuSDQw0.mp4	2.4 MB
16. Starring interesting repositories-U3FUxkm1MxI.mp4	2.6 MB
13. Participating in open source projects-OxL-gMTizUA.mp4	2.9 MB
12. Reflect on your commit messages-_0AHmKkfjTo.mp4	3.2 MB
15. Participating in open source projects 2-elZCLxVvJrY.mp4	3.5 MB
03. GitHub profile important items-prvPVTjVkwQ.mp4	3.5 MB
16. Starring interesting repositories-ZwMY5rAAd7Q.mp4	3.6 MB
04. Good GitHub repository-qBi8Q1EJdfQ.mp4	3.9 MB
07. Quick Fixes-Lb9e2KemR6I.mp4	4.2 MB
09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4	7.3 MB
02. Introduction-Vnj2VNQROtI.mp4	10.1 MB
10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4	13.8 MB
05. Interview with Art - Part 1-ClLYamtaO-Q.mp4	22.8 MB
14. Interview with Art - Part 3-M6PKr3S1rPg.mp4	26.3 MB
/Part 05-Module 01-Lesson 06_Part of Speech Tagging with HMMs/
15. 4 Outro POS V1-Sv8mSXQT03Y.zh-CN.vtt	0.4 KB
11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.zh-CN.vtt	0.4 KB
15. 4 Outro POS V1-Sv8mSXQT03Y.en.vtt	0.4 KB
11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.en.vtt	0.4 KB
10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.zh-CN.vtt	0.6 KB
10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.en.vtt	0.6 KB
01. 3 Intro POS V1-EbPSP604JJA.zh-CN.vtt	0.6 KB
01. 3 Intro POS V1-EbPSP604JJA.en.vtt	0.7 KB
12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.zh-CN.vtt	1.3 KB
09. NLPND POS 08 Quiz How Many Paths Now V1-TSm1a_EL9Kk.zh-CN.vtt	1.3 KB
12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.en.vtt	1.4 KB
05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.zh-CN.vtt	1.4 KB
09. NLPND POS 08 Quiz How Many Paths Now V1-TSm1a_EL9Kk.en.vtt	1.6 KB
05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.en.vtt	1.6 KB
03. NLPND POS 02 Lookup Table V1-BkbeShOwz6w.zh-CN.vtt	1.7 KB
08. NLPND POS 07 Solution How Many Paths V1-5ZITaEcNMpM.zh-CN.vtt	1.9 KB
02. NLPND POS 01 Intro V1-P4aMooNAGVs.zh-CN.vtt	2.0 KB
03. NLPND POS 02 Lookup Table V1-BkbeShOwz6w.en.vtt	2.1 KB
08. NLPND POS 07 Solution How Many Paths V1-5ZITaEcNMpM.en.vtt	2.3 KB
02. NLPND POS 01 Intro V1-P4aMooNAGVs.en.vtt	2.4 KB
04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.zh-CN.vtt	3.7 KB
07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.zh-CN.vtt	4.2 KB
04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.en.vtt	4.2 KB
06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.zh-CN.vtt	4.3 KB
index.html	4.7 KB
07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.en.vtt	5.1 KB
06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.en.vtt	5.2 KB
13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.zh-CN.vtt	5.4 KB
15. Outro.html	6.1 KB
01. Intro.html	6.1 KB
04. Bigrams.html	6.1 KB
02. Part of Speech Tagging.html	6.2 KB
03. Lookup Table.html	6.2 KB
13. Viterbi Algorithm.html	6.2 KB
06. Hidden Markov Models.html	6.2 KB
12. Viterbi Algorithm Idea.html	6.2 KB
05. When bigrams won't work.html	6.2 KB
08. Solution How many paths.html	6.2 KB
11. Solution Which path is more likely.html	6.3 KB
13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.en.vtt	6.6 KB
14. Further Reading.html	6.7 KB
07. Quiz How many paths.html	6.9 KB
09. Quiz How many paths now.html	7.2 KB
10. Quiz Which path is more likely.html	7.7 KB
11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.mp4	435.3 KB
10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.mp4	707.2 KB
15. 4 Outro POS V1-Sv8mSXQT03Y.mp4	1.1 MB
12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.mp4	1.2 MB
05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.mp4	1.4 MB
09. NLPND POS 08 Quiz How Many Paths Now V1-TSm1a_EL9Kk.mp4	1.5 MB
03. NLPND POS 02 Lookup Table V1-BkbeShOwz6w.mp4	1.5 MB
02. NLPND POS 01 Intro V1-P4aMooNAGVs.mp4	1.7 MB
01. 3 Intro POS V1-EbPSP604JJA.mp4	1.7 MB
08. NLPND POS 07 Solution How Many Paths V1-5ZITaEcNMpM.mp4	2.2 MB
04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.mp4	3.2 MB
07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.mp4	4.6 MB
06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.mp4	4.6 MB
13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.mp4	6.4 MB
/
README.txt	0.5 KB
index.html	93.8 KB
/Part 09-Module 01-Lesson 01_Keras/
06. Keras Lab-a50un22BsLI.zh-CN.vtt	0.5 KB
06. Keras Lab-a50un22BsLI.pt-BR.vtt	0.6 KB
06. Keras Lab-a50un22BsLI.en.vtt	0.6 KB
index.html	4.1 KB
06. Mini Project Intro.html	5.5 KB
08. Lab IMDB Data in Keras.html	6.0 KB
04. Lab Student Admissions in Keras.html	6.0 KB
01. Intro.html	6.2 KB
05. Optimizers in Keras.html	6.3 KB
07. Pre-Lab IMDB Data in Keras.html	9.8 KB
03. Pre-Lab Student Admissions in Keras.html	11.8 KB
02. Keras.html	15.9 KB
06. Keras Lab-a50un22BsLI.mp4	2.3 MB
/Part 05-Module 01-Lesson 03_Intro to NLP/
04. Grammar-Jw3dA7xmoQ4.zh-CN.vtt	0.6 KB
04. Grammar-Jw3dA7xmoQ4.en.vtt	0.7 KB
08. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt	1.1 KB
12. Modeling-P4w_2rkxBvE.zh-CN.vtt	1.1 KB
08. Natural Language Processing-UQBxJzoCp-I.en.vtt	1.2 KB
01. Intro Arpan-MW5MWOLj064.zh-CN.vtt	1.2 KB
01. Intro Arpan-MW5MWOLj064.en.vtt	1.3 KB
12. Modeling-P4w_2rkxBvE.en.vtt	1.3 KB
08. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt	1.3 KB
12. Modeling-P4w_2rkxBvE.pt-BR.vtt	1.5 KB
02. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt	1.5 KB
03. Structured Languages-NsmqUIHlk6U.zh-CN.vtt	1.5 KB
09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt	1.6 KB
05. Unstructured Text-OmwSdaec5vU.zh-CN.vtt	1.6 KB
02. Welcome to NLP-g-AlFF61p0I.en.vtt	1.7 KB
09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt	1.8 KB
05. Unstructured Text-OmwSdaec5vU.en.vtt	1.8 KB
03. Structured Languages-NsmqUIHlk6U.en.vtt	1.8 KB
09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt	1.9 KB
07. Context-J-4pfu2w1C0.zh-CN.vtt	2.0 KB
07. Context-J-4pfu2w1C0.en.vtt	2.2 KB
10. Text Processing-pqheVyctkNQ.zh-CN.vtt	2.4 KB
10. Text Processing-pqheVyctkNQ.en.vtt	2.7 KB
10. Text Processing-pqheVyctkNQ.pt-BR.vtt	3.0 KB
11. Feature Extraction-UgENzCmfFWE.zh-CN.vtt	3.4 KB
11. Feature Extraction-UgENzCmfFWE.en.vtt	3.9 KB
11. Feature Extraction-UgENzCmfFWE.pt-BR.vtt	4.3 KB
index.html	4.3 KB
01. Introducing Arpan.html	5.7 KB
02. NLP Overview.html	5.7 KB
12. Modeling.html	5.8 KB
08. NLP and Pipelines.html	5.9 KB
09. How NLP Pipelines Work.html	5.9 KB
10. Text Processing.html	6.1 KB
11. Feature Extraction.html	6.1 KB
07. Context Is Everything.html	6.2 KB
04. Grammar.html	7.5 KB
05. Unstructured Text.html	8.1 KB
03. Structured Languages.html	8.8 KB
06. Counting Words.html	9.4 KB
12. Modeling-P4w_2rkxBvE.mp4	1.2 MB
09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4	1.3 MB
04. Grammar-Jw3dA7xmoQ4.mp4	2.2 MB
10. Text Processing-pqheVyctkNQ.mp4	3.1 MB
08. Natural Language Processing-UQBxJzoCp-I.mp4	3.6 MB
01. Intro Arpan-MW5MWOLj064.mp4	3.6 MB
11. Feature Extraction-UgENzCmfFWE.mp4	3.6 MB
07. Context-J-4pfu2w1C0.mp4	4.8 MB
05. Unstructured Text-OmwSdaec5vU.mp4	4.9 MB
02. Welcome to NLP-g-AlFF61p0I.mp4	5.2 MB
03. Structured Languages-NsmqUIHlk6U.mp4	5.6 MB
/Part 06-Module 01-Lesson 01_Feature extraction and embeddings/
10. NLP Summary-B9ul8fsQYOA.zh-CN.vtt	0.6 KB
10. NLP Summary-B9ul8fsQYOA.en.vtt	0.7 KB
01. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt	1.0 KB
01. Feature Extraction-Bd6TJB8eVLQ.en.vtt	1.1 KB
04. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt	1.2 KB
05. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt	1.3 KB
04. One-Hot Encoding-a0j1CDXFYZI.en.vtt	1.4 KB
05. Word Embeddings-4mM_S9L2_JQ.en.vtt	1.6 KB
04. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt	1.6 KB
05. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt	1.7 KB
09. T-SNE-xxcK8oZ6_WE.zh-CN.vtt	1.9 KB
03. TF-IDF-XZBiBIRcACE.zh-CN.vtt	2.1 KB
09. T-SNE-xxcK8oZ6_WE.en.vtt	2.2 KB
03. TF-IDF-XZBiBIRcACE.en.vtt	2.4 KB
09. T-SNE-xxcK8oZ6_WE.pt-BR.vtt	2.5 KB
06. Word2Vec-7jjappzGRe0.zh-CN.vtt	2.9 KB
06. Word2Vec-7jjappzGRe0.en.vtt	3.5 KB
07. GloVe-KK3PMIiIn8o.zh-CN.vtt	3.7 KB
06. Word2Vec-7jjappzGRe0.pt-BR.vtt	3.9 KB
index.html	4.2 KB
02. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt	4.2 KB
07. GloVe-KK3PMIiIn8o.en.vtt	4.3 KB
07. GloVe-KK3PMIiIn8o.pt-BR.vtt	4.7 KB
08. Embeddings For Deep Learning-gj8u1KG0H2w.zh-CN.vtt	4.8 KB
02. Bag Of Words-A7M1z8yLl0w.en.vtt	4.8 KB
02. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt	5.2 KB
08. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt	5.2 KB
03. TF-IDF.html	5.4 KB
10. Summary.html	5.4 KB
01. Feature Extraction.html	5.5 KB
09. t-SNE.html	5.5 KB
07. GloVe.html	5.5 KB
06. Word2Vec.html	5.5 KB
02. Bag of Words.html	5.6 KB
05. Word Embeddings.html	5.6 KB
04. One-Hot Encoding.html	5.6 KB
08. Embeddings for Deep Learning.html	5.7 KB
08. Embeddings For Deep Learning-gj8u1KG0H2w.pt-BR.vtt	5.7 KB
04. One-Hot Encoding-a0j1CDXFYZI.mp4	1.1 MB
05. Word Embeddings-4mM_S9L2_JQ.mp4	1.3 MB
10. NLP Summary-B9ul8fsQYOA.mp4	1.5 MB
03. TF-IDF-XZBiBIRcACE.mp4	2.2 MB
01. Feature Extraction-Bd6TJB8eVLQ.mp4	2.4 MB
06. Word2Vec-7jjappzGRe0.mp4	3.1 MB
07. GloVe-KK3PMIiIn8o.mp4	4.0 MB
02. Bag Of Words-A7M1z8yLl0w.mp4	4.2 MB
08. Embeddings For Deep Learning-gj8u1KG0H2w.mp4	4.9 MB
09. T-SNE-xxcK8oZ6_WE.mp4	5.8 MB
/Part 06-Module 01-Lesson 02_Topic Modeling/
15. Outro-y8vecBYUFPo.zh-CN.vtt	0.6 KB
15. Outro-y8vecBYUFPo.en.vtt	0.7 KB
11. Latent Dirichlet Alocation-2wn8pNa6mg0.zh-CN.vtt	1.0 KB
11. Latent Dirichlet Alocation-2wn8pNa6mg0.en.vtt	1.1 KB
01. Introduction-pmpHsYaKxr0.zh-CN.vtt	1.4 KB
01. Introduction-pmpHsYaKxr0.en.vtt	1.5 KB
12. Sample A Topic-znDgb27W5As.zh-CN.vtt	1.7 KB
12. Sample A Topic-Ft2YjIlpF1A.zh-CN.vtt	1.9 KB
04. Latent Variables-9JQ51vOh_NY.zh-CN.vtt	1.9 KB
03. Bag Of Words-WILdZVzSAiE.zh-CN.vtt	1.9 KB
12. Sample A Topic-znDgb27W5As.en.vtt	2.0 KB
03. Bag Of Words-WILdZVzSAiE.en.vtt	2.2 KB
04. Latent Variables-9JQ51vOh_NY.en.vtt	2.2 KB
12. Sample A Topic-Ft2YjIlpF1A.en.vtt	2.2 KB
08. Solution Picking Topics-c4_EyKrMzg4.zh-CN.vtt	2.4 KB
13. Sample a Word-6UPqq5xzWpk.zh-CN.vtt	2.6 KB
13. Sample A Word-FckwjJOm9Qk.zh-CN.vtt	2.6 KB
07. Quiz Picking Topics-aMNNHZ1Z-FA.zh-CN.vtt	2.7 KB
05. Matrix Multiplication-8GE2EvgdG1Y.zh-CN.vtt	2.7 KB
08. Solution Picking Topics-c4_EyKrMzg4.en.vtt	2.9 KB
13. Sample a Word-6UPqq5xzWpk.en.vtt	2.9 KB
13. Sample A Word-FckwjJOm9Qk.en.vtt	2.9 KB
07. Quiz Picking Topics-aMNNHZ1Z-FA.en.vtt	3.1 KB
10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.zh-CN.vtt	3.1 KB
05. Matrix Multiplication-8GE2EvgdG1Y.en.vtt	3.2 KB
06. Matrices-xBrotILG97c.zh-CN.vtt	3.3 KB
10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.en.vtt	3.8 KB
06. Matrices-xBrotILG97c.en.vtt	4.0 KB
09. Beta Distributions-jR4sf50AFio.zh-CN.vtt	4.4 KB
index.html	4.8 KB
09. Beta Distributions-jR4sf50AFio.en.vtt	5.2 KB
02. References.html	6.2 KB
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17. [SOLUTION] Topic Modeling.html	6.9 KB
18. Next Steps.html	7.4 KB
14. Combining the Models-KRjuchtNilM.en.vtt	7.4 KB
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03. Bag of Words.html	7.8 KB
04. Latent Variables.html	7.9 KB
15. Outro-y8vecBYUFPo.mp4	545.3 KB
11. Latent Dirichlet Alocation-2wn8pNa6mg0.mp4	903.9 KB
01. Introduction-pmpHsYaKxr0.mp4	1.1 MB
03. Bag Of Words-WILdZVzSAiE.mp4	1.7 MB
12. Sample A Topic-Ft2YjIlpF1A.mp4	1.7 MB
12. Sample A Topic-znDgb27W5As.mp4	1.7 MB
04. Latent Variables-9JQ51vOh_NY.mp4	2.1 MB
07. Quiz Picking Topics-aMNNHZ1Z-FA.mp4	2.3 MB
13. Sample A Word-FckwjJOm9Qk.mp4	2.3 MB
08. Solution Picking Topics-c4_EyKrMzg4.mp4	2.4 MB
13. Sample a Word-6UPqq5xzWpk.mp4	2.4 MB
10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.mp4	2.7 MB
05. Matrix Multiplication-8GE2EvgdG1Y.mp4	3.1 MB
06. Matrices-xBrotILG97c.mp4	3.2 MB
09. Beta Distributions-jR4sf50AFio.mp4	4.1 MB
14. Combining the Models-KRjuchtNilM.mp4	6.1 MB
/Part 05-Module 01-Lesson 05_Spam Classifier with Naive Bayes/
01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt	0.6 KB
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01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt	0.7 KB
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03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt	1.3 KB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.zh-CN.vtt	1.4 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt	1.5 KB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt	1.6 KB
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06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.zh-CN.vtt	1.7 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.pt-BR.vtt	1.7 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt	1.8 KB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt	2.0 KB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.pt-BR.vtt	2.0 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.zh-CN.vtt	2.3 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt	2.3 KB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt	2.3 KB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt	2.4 KB
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10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.zh-CN.vtt	2.8 KB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.pt-BR.vtt	2.8 KB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.pt-BR.vtt	3.1 KB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt	3.1 KB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt	3.3 KB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt	3.3 KB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt	3.5 KB
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07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt	5.5 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt	5.7 KB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt	6.2 KB
16. Outro.html	6.3 KB
01. Intro.html	6.3 KB
05. Bayes Theorem.html	6.4 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.pt-BR.vtt	6.4 KB
02. Guess the Person.html	6.4 KB
03. Known and Inferred.html	6.4 KB
07. Solution False Positives.html	6.4 KB
09. Bayesian Learning 2.html	6.4 KB
12. Naive Bayes Algorithm 2.html	6.5 KB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt	6.6 KB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt	6.6 KB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.pt-BR.vtt	6.7 KB
04. Guess the Person Now.html	6.7 KB
10. Bayesian Learning 3.html	6.7 KB
15. Spam Classifier - Workspace.html	6.8 KB
14. Project.html	6.9 KB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt	7.4 KB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt	7.4 KB
13. Building a Spam Classifier.html	7.4 KB
06. Quiz False Positives.html	7.6 KB
11. Naive Bayes Algorithm 1.html	7.8 KB
08. Bayesian Learning 1.html	9.7 KB
12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4	1.5 MB
09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4	1.9 MB
03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4	2.7 MB
01. Naive Bayes Intro V2-vNOiQXghgRY.mp4	3.4 MB
11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4	5.4 MB
06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4	5.7 MB
08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4	6.4 MB
05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4	7.6 MB
02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4	8.9 MB
10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4	9.8 MB
07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4	15.1 MB
04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4	22.1 MB
/Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/
07. Remember Gate-0qlm86HaXuU.zh-CN.vtt	0.6 KB
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06. Forget Gate-iWxpfxLUPSU.zh-CN.vtt	1.1 KB
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06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt	1.4 KB
04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt	1.4 KB
04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt	1.5 KB
04. LSTM Architecture-ycwthhdx8ws.en.vtt	1.5 KB
08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt	1.5 KB
08. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt	1.8 KB
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09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt	2.2 KB
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02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt	4.3 KB
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03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt	4.7 KB
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03. Basics of LSTM.html	5.8 KB
04. Architecture of LSTM.html	5.8 KB
09. Putting it All Together.html	5.9 KB
07. The Remember Gate.html	6.2 KB
11. Other architectures.html	6.3 KB
06. The Forget Gate.html	6.3 KB
05. The Learn Gate.html	6.4 KB
08. The Use Gate.html	6.5 KB
01. Intro to LSTM.html	6.6 KB
10. Quiz.html	7.7 KB
07. Remember Gate-0qlm86HaXuU.mp4	693.2 KB
06. Forget Gate-iWxpfxLUPSU.mp4	1.1 MB
04. LSTM Architecture-ycwthhdx8ws.mp4	1.1 MB
08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4	1.6 MB
09. Putting It All Together-IF8FlKW-Zo0.mp4	1.7 MB
11. Other Architectures-MsxFDuYlTuQ.mp4	1.8 MB
05. Learn Gate-aVHVI7ovbHY.mp4	2.3 MB
02. RNN Vs LSTM-70MgF-IwAr8.mp4	3.8 MB
03. LSTM Basics-gjb68a4XsqE.mp4	4.2 MB
/Part 11-Module 01-Lesson 01_TensorFlow/
17. Conclusion-wOiUQDgGD9E.zh-CN.vtt	0.7 KB
17. Conclusion-wOiUQDgGD9E.en.vtt	0.7 KB
17. Conclusion-wOiUQDgGD9E.pt-BR.vtt	1.0 KB
index.html	4.9 KB
17. Outro.html	6.5 KB
10. Lab NotMNIST in TensorFlow.html	7.0 KB
11. Two-layer Neural Network.html	8.3 KB
01. Intro.html	8.6 KB
09. Pre-Lab NotMNIST in TensorFlow.html	8.9 KB
02. Installing TensorFlow.html	9.0 KB
03. Hello, Tensor World!.html	9.2 KB
05. Quiz TensorFlow Softmax.html	9.4 KB
06. Quiz TensorFlow Cross Entropy.html	9.8 KB
12. Quiz TensorFlow ReLUs.html	10.0 KB
15. Finetuning.html	10.7 KB
13. Deep Neural Network in TensorFlow.html	12.3 KB
08. Epochs.html	13.7 KB
16. Quiz TensorFlow Dropout.html	14.5 KB
14. Save and Restore TensorFlow Models.html	15.4 KB
04. Quiz TensorFlow Linear Function.html	22.4 KB
07. Quiz Mini-batch.html	26.5 KB
17. Conclusion-wOiUQDgGD9E.mp4	2.7 MB
/Part 03-Module 01-Lesson 01_Voice User Interfaces/
10. Language Models-vrrP9fzJGSE.zh-CN.vtt	0.9 KB
10. Language Models-vrrP9fzJGSE.en.vtt	1.0 KB
09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.zh-CN.vtt	2.0 KB
09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.en.vtt	2.3 KB
01. Welcome-zYDIgmGo4Xc.zh-CN.vtt	2.3 KB
01. Welcome-zYDIgmGo4Xc.en.vtt	2.6 KB
07. Phonetics-v3lz8t0ZWnQ.zh-CN.vtt	2.8 KB
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11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.zh-CN.vtt	3.3 KB
03. VUI Applications-wZLP8cdiA2Y.zh-CN.vtt	3.6 KB
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06. Challenges in ASR-59nKRkvk6As.zh-CN.vtt	4.7 KB
06. Challenges in ASR-59nKRkvk6As.en.vtt	5.0 KB
07. Phonetics.html	5.7 KB
02. VUI Overview.html	5.7 KB
10. Language Models.html	5.8 KB
01. Welcome to Voice User Interfaces!.html	5.8 KB
03. VUI Applications.html	5.8 KB
06. Challenges in ASR.html	5.8 KB
04. Conversational AI with Alexa.html	5.8 KB
11. Deep Neural Networks as Speech Models.html	5.9 KB
09. Acoustic Models and the Trouble with Time.html	5.9 KB
02. VUI Overview-w5QGti1LHzc.zh-CN.vtt	6.2 KB
02. VUI Overview-w5QGti1LHzc.en.vtt	7.0 KB
08. Quiz Phonetics.html	7.7 KB
04. Conversational AI with Alexa-1EU8jusdLZI.zh-CN.vtt	9.4 KB
05. Lab Space Geek.html	9.8 KB
04. Conversational AI with Alexa-1EU8jusdLZI.en.vtt	10.6 KB
10. Language Models-vrrP9fzJGSE.mp4	2.8 MB
07. Phonetics-v3lz8t0ZWnQ.mp4	3.5 MB
11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4	4.0 MB
06. Challenges in ASR-59nKRkvk6As.mp4	6.1 MB
09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4	6.1 MB
01. Welcome-zYDIgmGo4Xc.mp4	8.6 MB
03. VUI Applications-wZLP8cdiA2Y.mp4	12.8 MB
02. VUI Overview-w5QGti1LHzc.mp4	13.5 MB
04. Conversational AI with Alexa-1EU8jusdLZI.mp4	25.3 MB
/Part 07-Module 01-Lesson 03_Speech Recognition/
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24. Outro-xMXF5PQxHnk.zh-CN.vtt	1.1 KB
24. Outro-xMXF5PQxHnk.en.vtt	1.2 KB
20. A New Paradigm-ojI5SVJ7Pas.zh-CN.vtt	1.2 KB
20. A New Paradigm-ojI5SVJ7Pas.en.vtt	1.4 KB
14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.zh-CN.vtt	2.0 KB
14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.en.vtt	2.3 KB
12. Voice Data Lab Introduction-9072Yx9hOXk.zh-CN.vtt	2.3 KB
12. Voice Data Lab Introduction-9072Yx9hOXk.en.vtt	2.4 KB
17. N-Grams-cSP1p9wWhHg.zh-CN.vtt	2.5 KB
09. Phonetics-v3lz8t0ZWnQ.zh-CN.vtt	2.8 KB
17. N-Grams-cSP1p9wWhHg.en.vtt	2.9 KB
15. HMMs in Speech Recognition-9H2wP7g9d1g.zh-CN.vtt	3.0 KB
06. Feature Extraction-qEPu5nQ4IMg.zh-CN.vtt	3.1 KB
09. Phonetics-v3lz8t0ZWnQ.en.vtt	3.2 KB
15. HMMs in Speech Recognition-9H2wP7g9d1g.en.vtt	3.2 KB
03. Signal Analysis-AJKKQJZsb7o.zh-CN.vtt	3.2 KB
21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.zh-CN.vtt	3.3 KB
01. Introduction to Speech Recognition-EcsLCpnGBGs.zh-CN.vtt	3.4 KB
06. Feature Extraction-qEPu5nQ4IMg.en.vtt	3.6 KB
03. Signal Analysis-AJKKQJZsb7o.en.vtt	3.6 KB
01. Introduction to Speech Recognition-EcsLCpnGBGs.en.vtt	3.7 KB
21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.en.vtt	3.7 KB
02. Challenges in ASR-59nKRkvk6As.zh-CN.vtt	4.7 KB
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16. Language Models.html	7.1 KB
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02. Challenges in ASR.html	7.1 KB
06. Feature Extraction with MFCC.html	7.1 KB
01. Intro.html	7.2 KB
15. HMMs in Speech Recognition.html	7.2 KB
12. Voice Data Lab Introduction.html	7.2 KB
21. Deep Neural Networks as Speech Models.html	7.2 KB
14. Acoustic Models and the Trouble with Time.html	7.3 KB
23. References Deep Neural Network ASR.html	8.4 KB
11. Quiz Phonetics.html	9.1 KB
19. References Traditional ASR.html	9.6 KB
04. References Signal Analysis.html	10.3 KB
08. Quiz MFCC.html	10.3 KB
10. References Phonetics.html	11.7 KB
07. References Feature Extraction.html	12.5 KB
22. Connectionist Tempora Classification (CTC).html	14.9 KB
05. Quiz FFT.html	16.8 KB
13. Lab Voice Data.html	24.3 KB
18. Quiz N-Grams.html	35.4 KB
16. Language Models-vrrP9fzJGSE.mp4	2.8 MB
09. Phonetics-v3lz8t0ZWnQ.mp4	3.5 MB
17. N-Grams-cSP1p9wWhHg.mp4	3.5 MB
21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4	4.0 MB
15. HMMs in Speech Recognition-9H2wP7g9d1g.mp4	4.0 MB
20. A New Paradigm-ojI5SVJ7Pas.mp4	4.1 MB
24. Outro-xMXF5PQxHnk.mp4	4.6 MB
02. Challenges in ASR-59nKRkvk6As.mp4	6.1 MB
14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4	6.1 MB
06. Feature Extraction-qEPu5nQ4IMg.mp4	6.8 MB
12. Voice Data Lab Introduction-9072Yx9hOXk.mp4	7.6 MB
03. Signal Analysis-AJKKQJZsb7o.mp4	7.8 MB
01. Introduction to Speech Recognition-EcsLCpnGBGs.mp4	8.8 MB
/Part 05-Module 01-Lesson 04_Text Processing/
14. Summary-zKYEvRd2XmI.zh-CN.vtt	1.0 KB
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01. Text Processing-6LO6I5M18PQ.zh-CN.vtt	1.1 KB
12. Named Entity Recognition-QUQu2nsE7vE.en.vtt	1.1 KB
14. Summary-zKYEvRd2XmI.en.vtt	1.1 KB
01. Text Processing-6LO6I5M18PQ.en.vtt	1.2 KB
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12. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt	1.3 KB
14. Summary-zKYEvRd2XmI.pt-BR.vtt	1.3 KB
10. Stop Word Removal-WAU_Ij0GJbw.zh-CN.vtt	1.4 KB
11. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt	1.5 KB
06. Capturing Text Data-Z4mnMN1ApG4.zh-CN.vtt	1.6 KB
10. Stop Word Removal-WAU_Ij0GJbw.en.vtt	1.6 KB
11. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt	1.7 KB
06. Capturing Text Data-Z4mnMN1ApG4.en.vtt	1.8 KB
10. Stop Word Removal-WAU_Ij0GJbw.pt-BR.vtt	1.8 KB
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09. Tokenization-4Ieotbeh4u8.zh-CN.vtt	2.7 KB
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14. Summary.html	6.0 KB
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09. Tokenization.html	6.4 KB
05. Workspace.html	6.5 KB
07. Cleaning.html	6.5 KB
06. Capturing Text Data.html	6.6 KB
11. Part-of-Speech Tagging.html	6.7 KB
02. Coding Exercises.html	6.8 KB
08. Normalization.html	6.8 KB
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07. Cleaning-qawXp9DPV6I.pt-BR.vtt	9.3 KB
04. Workspaces Best Practices.html	10.5 KB
03. Introduction to GPU Workspaces.html	16.8 KB
14. Summary-zKYEvRd2XmI.mp4	1.0 MB
12. Named Entity Recognition-QUQu2nsE7vE.mp4	1.2 MB
01. Text Processing-6LO6I5M18PQ.mp4	1.9 MB
10. Stop Word Removal-WAU_Ij0GJbw.mp4	2.1 MB
11. Part-of-Speech Tagging-WFEu8bXI5OA.mp4	2.3 MB
06. Capturing Text Data-Z4mnMN1ApG4.mp4	2.5 MB
08. Normalization-eOV2UUY8vtM.mp4	3.3 MB
09. Tokenization-4Ieotbeh4u8.mp4	3.4 MB
13. Stemming And Lemmatization-7Gjf81u5hmw.mp4	5.2 MB
07. Cleaning-qawXp9DPV6I.mp4	20.5 MB
/Part 02-Module 01-Lesson 01_Building an NLP Pipeline/
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06. Modeling-P4w_2rkxBvE.zh-CN.vtt	1.1 KB
09. Named Entity Recognition-QUQu2nsE7vE.en.vtt	1.1 KB
01. Natural Language Processing-UQBxJzoCp-I.en.vtt	1.2 KB
12. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt	1.2 KB
09. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt	1.3 KB
13. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt	1.3 KB
06. Modeling-P4w_2rkxBvE.en.vtt	1.3 KB
01. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt	1.3 KB
12. One-Hot Encoding-a0j1CDXFYZI.en.vtt	1.4 KB
06. Modeling-P4w_2rkxBvE.pt-BR.vtt	1.5 KB
08. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt	1.5 KB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt	1.6 KB
13. Word Embeddings-4mM_S9L2_JQ.en.vtt	1.6 KB
12. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt	1.6 KB
08. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt	1.7 KB
13. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt	1.7 KB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt	1.8 KB
14. T-SNE-xxcK8oZ6_WE.zh-CN.vtt	1.9 KB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt	1.9 KB
08. Part-of-Speech Tagging-WFEu8bXI5OA.pt-BR.vtt	2.0 KB
11. TF-IDF-XZBiBIRcACE.zh-CN.vtt	2.1 KB
14. T-SNE-xxcK8oZ6_WE.en.vtt	2.2 KB
03. Text Processing-pqheVyctkNQ.zh-CN.vtt	2.4 KB
11. TF-IDF-XZBiBIRcACE.en.vtt	2.4 KB
14. T-SNE-xxcK8oZ6_WE.pt-BR.vtt	2.5 KB
03. Text Processing-pqheVyctkNQ.en.vtt	2.7 KB
03. Text Processing-pqheVyctkNQ.pt-BR.vtt	3.0 KB
05. Feature Extraction-UgENzCmfFWE.zh-CN.vtt	3.4 KB
05. Feature Extraction-UgENzCmfFWE.en.vtt	3.9 KB
10. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt	4.2 KB
05. Feature Extraction-UgENzCmfFWE.pt-BR.vtt	4.3 KB
index.html	4.5 KB
10. Bag Of Words-A7M1z8yLl0w.en.vtt	4.8 KB
10. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt	5.2 KB
11. TF-IDF.html	5.9 KB
14. t-SNE.html	6.0 KB
06. Modeling.html	6.0 KB
10. Bag of Words.html	6.0 KB
13. Word Embeddings.html	6.0 KB
12. One-Hot Encoding.html	6.0 KB
09. Named Entity Recognition.html	6.1 KB
01. NLP and Pipelines.html	6.1 KB
02. How NLP Pipelines Work.html	6.1 KB
03. Text Processing.html	6.3 KB
05. Feature Extraction.html	6.3 KB
08. Part-of-Speech Tagging.html	6.6 KB
07. Quiz Split Sentences.html	9.0 KB
04. Counting Words.html	9.6 KB
12. One-Hot Encoding-a0j1CDXFYZI.mp4	1.1 MB
09. Named Entity Recognition-QUQu2nsE7vE.mp4	1.2 MB
06. Modeling-P4w_2rkxBvE.mp4	1.2 MB
13. Word Embeddings-4mM_S9L2_JQ.mp4	1.3 MB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4	1.3 MB
11. TF-IDF-XZBiBIRcACE.mp4	2.2 MB
08. Part-of-Speech Tagging-WFEu8bXI5OA.mp4	2.3 MB
03. Text Processing-pqheVyctkNQ.mp4	3.1 MB
01. Natural Language Processing-UQBxJzoCp-I.mp4	3.6 MB
05. Feature Extraction-UgENzCmfFWE.mp4	3.6 MB
10. Bag Of Words-A7M1z8yLl0w.mp4	4.2 MB
14. T-SNE-xxcK8oZ6_WE.mp4	5.8 MB
/img/
linear-equation.gif	1.3 KB
mnist-012.png	20.7 KB
weights-0-1-2.png	25.2 KB
session.png	31.6 KB
relu-network.png	31.8 KB
softmax-input-output.png	53.7 KB
notmnist.png	55.5 KB
cross-entropy-diagram.png	64.2 KB
dropout-node.jpeg	64.2 KB
tensorflow.png	87.3 KB
meme.png	214.1 KB
multi-layer.png	219.5 KB
layers.png	293.0 KB
/img/
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eqn-jointprob-words-in-sentence.png	1.4 KB
eqn-markov-assumption-ngrams.png	1.5 KB
eqn-addone-bigram-smoothing.png	1.7 KB
ctcfunction.png	1.9 KB
phonetics.png	3.4 KB
sv-controls.png	10.9 KB
fft.png	18.6 KB
mfcc.png	26.0 KB
fourier-analysis.png	30.6 KB
mel-scale.png	34.2 KB
raw-audio.png	37.5 KB
normalized-mfcc.png	48.7 KB
sum-of-components.png	90.4 KB
ngrams.png	123.3 KB
ngrams-numbers.png	132.3 KB
sv-sentences.png	154.3 KB
helloworld-signal.png	224.3 KB
hmm.png	466.0 KB
source-filter-model.png	529.5 KB
helloworld-spectrogram.png	586.3 KB
sound.png	606.2 KB
spectrogram.png	1.0 MB
hmmstates.png	1.6 MB
rnndist.png	2.1 MB
two-speechsignals-aligned.png	2.4 MB
/Part 08-Module 01-Lesson 01_Recurrent Neural Networks/
01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.zh-CN.vtt	1.4 KB
09. Regra da cadeia-YAhIBOnbt54.zh-CN.vtt	1.5 KB
01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.en.vtt	1.5 KB
01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.pt-BR.vtt	1.7 KB
09. Regra da cadeia-YAhIBOnbt54.en.vtt	1.7 KB
09. Regra da cadeia-YAhIBOnbt54.pt-BR.vtt	1.8 KB
08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.zh-CN.vtt	2.2 KB
14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.zh-CN.vtt	2.3 KB
08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt	2.6 KB
14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt	2.6 KB
04. 03 RNN Applications V3 Final-6JbTNARuKII.zh-CN.vtt	2.6 KB
08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.pt-BR.vtt	2.8 KB
04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt	2.8 KB
14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.pt-BR.vtt	2.8 KB
19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.zh-CN.vtt	2.9 KB
04. 03 RNN Applications V3 Final-6JbTNARuKII.pt-BR.vtt	3.1 KB
19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt	3.4 KB
03. 02 RNN History V4 Final-HbxAnYUfRnc.zh-CN.vtt	3.4 KB
17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.zh-CN.vtt	3.6 KB
19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.pt-BR.vtt	3.8 KB
03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt	3.8 KB
18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.zh-CN.vtt	3.8 KB
09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.zh-CN.vtt	3.8 KB
17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt	4.1 KB
05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.zh-CN.vtt	4.1 KB
02. 01 RNN Intro V6 Final-AIQEqg6F38A.zh-CN.vtt	4.2 KB
03. 02 RNN History V4 Final-HbxAnYUfRnc.pt-BR.vtt	4.2 KB
17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.pt-BR.vtt	4.4 KB
09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt	4.5 KB
18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt	4.5 KB
02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt	4.6 KB
06. 06 FeedForward A V7 Final-4rCfnWbx8-0.zh-CN.vtt	4.6 KB
05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt	4.6 KB
09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.pt-BR.vtt	4.7 KB
13. 16 RNN B V4 Final-wsif3p5t7CI.zh-CN.vtt	4.7 KB
16. 18 RNN Example V5 Final-MDLk3fhpTx0.zh-CN.vtt	4.7 KB
05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.pt-BR.vtt	4.8 KB
18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.pt-BR.vtt	4.8 KB
02. 01 RNN Intro V6 Final-AIQEqg6F38A.pt-BR.vtt	4.9 KB
24. RNN Summary-nXP0oGGRrO8.zh-CN.vtt	5.0 KB
05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.zh-CN.vtt	5.1 KB
16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt	5.2 KB
12. 14 RNN A V4 Final-ofbnDxGSUcg.zh-CN.vtt	5.2 KB
06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt	5.3 KB
13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt	5.4 KB
25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.zh-CN.vtt	5.4 KB
16. 18 RNN Example V5 Final-MDLk3fhpTx0.pt-BR.vtt	5.6 KB
index.html	5.6 KB
24. RNN Summary-nXP0oGGRrO8.en.vtt	5.7 KB
05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt	5.8 KB
12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt	5.8 KB
06. 06 FeedForward A V7 Final-4rCfnWbx8-0.pt-BR.vtt	5.8 KB
25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt	5.9 KB
12. 14 RNN A V4 Final-ofbnDxGSUcg.pt-BR.vtt	5.9 KB
13. 16 RNN B V4 Final-wsif3p5t7CI.pt-BR.vtt	6.1 KB
05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.pt-BR.vtt	6.2 KB
24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt	6.3 KB
25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.pt-BR.vtt	6.8 KB
06. 07 FeedForward B V3-kTYbTVh1d0k.zh-CN.vtt	6.9 KB
10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.zh-CN.vtt	7.0 KB
08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.zh-CN.vtt	7.4 KB
01. Introducing Ortal .html	7.6 KB
14. RNN- Unfolded Model.html	7.7 KB
26. Wrap Up.html	7.7 KB
06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt	7.7 KB
16. RNN- Example.html	8.0 KB
06. 07 FeedForward B V3-kTYbTVh1d0k.pt-BR.vtt	8.0 KB
02. RNN Introduction.html	8.2 KB
10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt	8.5 KB
08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.pt-BR.vtt	8.6 KB
08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt	8.7 KB
21. BPTT Quiz 2.html	8.9 KB
15. Unfolded Model Quiz.html	9.0 KB
04. RNN Applications.html	9.1 KB
10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.pt-BR.vtt	9.2 KB
20. BPTT Quiz 1.html	9.3 KB
12. RNN (part a).html	9.7 KB
25. From RNN to LSTM.html	10.1 KB
07. Feedforward Quiz.html	10.6 KB
03. RNN History.html	10.9 KB
05. Feedforward Neural Network-Reminder.html	11.3 KB
11. Backpropagation Quiz.html	11.7 KB
08. Backpropagation- Theory.html	12.1 KB
22. BPTT Quiz 3.html	12.5 KB
13. RNN (part b).html	12.8 KB
17. Backpropagation Through Time (part a).html	13.1 KB
24. RNN Summary.html	13.9 KB
23. Some more math.html	13.9 KB
19. Backpropagation Through Time (part c).html	14.4 KB
09. Backpropagation - Example (part a).html	15.1 KB
06. The Feedforward Process.html	15.1 KB
18. Backpropagation Through Time (part b).html	18.0 KB
10. Backpropagation- Example (part b).html	19.3 KB
09. Regra da cadeia-YAhIBOnbt54.mp4	1.5 MB
24. RNN Summary-nXP0oGGRrO8.mp4	7.6 MB
12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4	10.9 MB
14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4	11.0 MB
01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4	11.2 MB
08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4	13.4 MB
09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4	15.5 MB
19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4	18.1 MB
04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4	18.1 MB
06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4	18.6 MB
18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4	19.0 MB
05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4	20.6 MB
02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4	21.9 MB
13. 16 RNN B V4 Final-wsif3p5t7CI.mp4	22.1 MB
17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4	22.6 MB
16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4	23.2 MB
03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4	25.4 MB
05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4	27.0 MB
06. 07 FeedForward B V3-kTYbTVh1d0k.mp4	27.9 MB
08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4	36.5 MB
25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4	37.9 MB
10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4	38.9 MB
/Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/
04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt	1.4 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt	1.5 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt	1.8 KB
04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt	2.0 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt	2.0 KB
04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt	2.0 KB
04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt	2.0 KB
04. Elevator Pitch-0QtgTG49E9I.en.vtt	2.1 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt	2.2 KB
04. Elevator Pitch-0QtgTG49E9I.ar.vtt	2.3 KB
01. Why Network-exjEm9Paszk.pt-BR.vtt	3.3 KB
01. Why Network-exjEm9Paszk.es-MX.vtt	3.3 KB
01. Why Network-exjEm9Paszk.zh-CN.vtt	3.4 KB
01. Why Network-exjEm9Paszk.en.vtt	3.5 KB
03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt	3.5 KB
03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt	3.6 KB
03. Elevator Pitch-S-nAHPrkQrQ.en.vtt	3.6 KB
03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt	3.6 KB
02. Meet Chris-0ccflD9x5WU.zh-CN.vtt	4.5 KB
02. Meet Chris-0ccflD9x5WU.pt-BR.vtt	4.6 KB
02. Meet Chris-0ccflD9x5WU.es-MX.vtt	4.6 KB
index.html	4.9 KB
02. Meet Chris-0ccflD9x5WU.en.vtt	5.0 KB
03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt	5.3 KB
01. Why Network-exjEm9Paszk.ar.vtt	5.3 KB
02. Meet Chris-0ccflD9x5WU.ar.vtt	6.5 KB
03. Why Use an Elevator Pitch.html	6.7 KB
Project Description - Improve Your LinkedIn Profile.html	7.3 KB
12. Up Next.html	7.6 KB
04. Create Your Elevator Pitch.html	7.7 KB
11. Boost Your Visibility.html	8.0 KB
02. Use Your Story to Stand Out.html	8.1 KB
10. Reaching Out on LinkedIn.html	8.8 KB
06. Create Your Profile With SEO In Mind.html	8.9 KB
08. Work Experiences Accomplishments.html	9.2 KB
05. Use Your Elevator Pitch on LinkedIn.html	9.2 KB
09. Build and Strengthen Your Network.html	10.1 KB
01. Get Opportunities with LinkedIn.html	10.7 KB
07. Profile Essentials.html	10.8 KB
Project Rubric - Improve Your LinkedIn Profile.html	16.1 KB
04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4	9.4 MB
04. Elevator Pitch-0QtgTG49E9I.mp4	10.5 MB
01. Why Network-exjEm9Paszk.mp4	18.2 MB
03. Elevator Pitch-S-nAHPrkQrQ.mp4	21.6 MB
02. Meet Chris-0ccflD9x5WU.mp4	34.1 MB
/Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/
03. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt	1.5 KB
03. Welcome to NLP-g-AlFF61p0I.en.vtt	1.7 KB
04. Context-J-4pfu2w1C0.zh-CN.vtt	2.0 KB
04. Context-J-4pfu2w1C0.en.vtt	2.2 KB
06. Towards Augmented Intelligence-6y2B8VKoGTw.zh-CN.vtt	3.1 KB
06. Towards Augmented Intelligence-6y2B8VKoGTw.en.vtt	3.4 KB
index.html	4.0 KB
05. Natural Language Processing-sQiURKPFXNM.zh-CN.vtt	4.1 KB
05. Natural Language Processing-sQiURKPFXNM.en.vtt	4.5 KB
03. NLP Overview.html	5.2 KB
05. NLP and IBM Watson.html	5.2 KB
06. Towards Augmented Intelligence.html	5.3 KB
02. School of AI Team.html	5.6 KB
04. Context Is Everything.html	5.7 KB
01. Program Syllabus.html	6.7 KB
04. Context-J-4pfu2w1C0.mp4	4.8 MB
03. Welcome to NLP-g-AlFF61p0I.mp4	5.2 MB
06. Towards Augmented Intelligence-6y2B8VKoGTw.mp4	13.0 MB
05. Natural Language Processing-sQiURKPFXNM.mp4	16.2 MB
/Part 06-Module 01-Lesson 03_Sentiment Analysis/
01. Intro-MXeF39TDdZY.zh-CN.vtt	1.6 KB
01. Intro-MXeF39TDdZY.en.vtt	1.8 KB
02. Sentiment Analysis 1-5aIgZ3llgSo.zh-CN.vtt	3.7 KB
02. Sentiment Analysis 1-5aIgZ3llgSo.en.vtt	4.2 KB
index.html	4.4 KB
01. Intro.html	5.6 KB
02. Sentiment Analysis with a Regular Classifier.html	5.8 KB
09. Outro.html	6.3 KB
06. Notebook Sentiment Analysis with an RNN.html	6.3 KB
07. [SOLUTION] Sentiment Analysis with an RNN.html	6.3 KB
04. [SOLUTION] Sentiment Analysis with a regular clas.html	6.3 KB
03. Notebook Sentiment Analysis with a regular classifier.html	6.3 KB
08. Optional Material.html	6.5 KB
05. Sentiment Analysis with RNN.html	7.6 KB
05. Sentiment Analysis RNN GIF-GZWyEHOdZ0w.mp4	426.6 KB
01. Intro-MXeF39TDdZY.mp4	1.3 MB
02. Sentiment Analysis 1-5aIgZ3llgSo.mp4	3.1 MB
/Part 06-Module 01-Lesson 05_Deep Learning Attention/
03. 03 Attention Overview Encoding V2-IctAnMaVUKc.zh-CN.vtt	1.7 KB
03. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt	1.9 KB
03. 03 Attention Overview Encoding V2-IctAnMaVUKc.pt-BR.vtt	2.0 KB
06. 05 Attention Encoder V2-sphe9LDT4rA.zh-CN.vtt	2.5 KB
04. 04 Attention Overview Decoding V2-DJxiPd585GY.zh-CN.vtt	2.8 KB
06. 05 Attention Encoder V2-sphe9LDT4rA.en.vtt	2.8 KB
06. 05 Attention Encoder V2-sphe9LDT4rA.pt-BR.vtt	3.0 KB
07. 06 Attention Decoder V1-5mMz6nN9_Ss.zh-CN.vtt	3.1 KB
04. 04 Attention Overview Decoding V2-DJxiPd585GY.en.vtt	3.3 KB
04. 04 Attention Overview Decoding V2-DJxiPd585GY.pt-BR.vtt	3.4 KB
02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.zh-CN.vtt	3.4 KB
07. 06 Attention Decoder V1-5mMz6nN9_Ss.en.vtt	3.4 KB
07. 06 Attention Decoder V1-5mMz6nN9_Ss.pt-BR.vtt	3.7 KB
02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.en.vtt	3.9 KB
11. 09 Additive Attention V2-93VfVWZ-IvY.zh-CN.vtt	4.1 KB
02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.pt-BR.vtt	4.4 KB
11. 09 Additive Attention V2-93VfVWZ-IvY.pt-BR.vtt	4.6 KB
11. 09 Additive Attention V2-93VfVWZ-IvY.en.vtt	4.7 KB
15. 11 Other Attention Methods V2-VmsR9FVpQiM.zh-CN.vtt	5.2 KB
index.html	5.3 KB
09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.zh-CN.vtt	5.5 KB
01. 01 Introduction To Attention V2-NCn97L5WbCY.zh-CN.vtt	5.5 KB
16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.zh-CN.vtt	5.6 KB
13. 10 Computer Vision Applications V3-bhWwc4BYTYc.zh-CN.vtt	5.8 KB
15. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt	6.0 KB
01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt	6.3 KB
15. 11 Other Attention Methods V2-VmsR9FVpQiM.pt-BR.vtt	6.4 KB
09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt	6.5 KB
16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.pt-BR.vtt	6.5 KB
10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.zh-CN.vtt	6.5 KB
16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt	6.6 KB
13. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt	6.6 KB
09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.pt-BR.vtt	6.9 KB
13. 10 Computer Vision Applications V3-bhWwc4BYTYc.pt-BR.vtt	6.9 KB
06. Attention Encoder.html	7.0 KB
07. Attention Decoder.html	7.0 KB
11. Additive Attention.html	7.0 KB
01. 01 Introduction To Attention V2-NCn97L5WbCY.pt-BR.vtt	7.0 KB
10. Multiplicative Attention.html	7.0 KB
01. Introduction to Attention.html	7.0 KB
02. Sequence to Sequence Recap.html	7.0 KB
03. Encoding -- Attention Overview.html	7.0 KB
04. Decoding -- Attention Overview.html	7.0 KB
16. The Transformer and Self-Attention.html	7.1 KB
19. Outro.html	7.2 KB
15. Other Attention Methods.html	7.4 KB
17. Notebook Attention Basics.html	7.4 KB
18. [SOLUTION] Attention Basics.html	7.4 KB
09. Bahdanau and Luong Attention.html	7.4 KB
10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.en.vtt	7.8 KB
13. Computer Vision Applications.html	8.2 KB
14. NLP Application Google Neural Machine Translation.html	8.2 KB
12. Additive and Multiplicative Attention.html	8.4 KB
10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.pt-BR.vtt	8.5 KB
08. Attention Encoder Decoder.html	9.3 KB
05. Attention Overview.html	9.4 KB
03. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4	1.8 MB
06. 05 Attention Encoder V2-sphe9LDT4rA.mp4	2.5 MB
07. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4	3.3 MB
04. 04 Attention Overview Decoding V2-DJxiPd585GY.mp4	3.4 MB
02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4	3.9 MB
11. 09 Additive Attention V2-93VfVWZ-IvY.mp4	4.4 MB
15. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4	6.1 MB
16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4	6.4 MB
13. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4	6.9 MB
09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4	7.0 MB
10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4	8.4 MB
01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4	12.6 MB
/Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/
04. Creating Testing Sets-BRBbrNLz1ho.zh-CN.vtt	1.7 KB
04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt	1.8 KB
04. Creating Testing Sets-BRBbrNLz1ho.en.vtt	2.1 KB
index.html	4.0 KB
03. Data Preprocessing-h4-LwZU9_k8.zh-CN.vtt	4.6 KB
03. Data Preprocessing-h4-LwZU9_k8.pt-BR.vtt	4.7 KB
07. Solutions.html	5.3 KB
02. Sentiment RNN.html	5.4 KB
03. Data Preprocessing.html	5.4 KB
06. Training the Network.html	5.4 KB
03. Data Preprocessing-h4-LwZU9_k8.en.vtt	5.5 KB
06. Training The Network-nknJ3Xu3ld0.zh-CN.vtt	5.6 KB
05. Building the RNN.html	5.6 KB
04. Creating Testing Sets.html	5.7 KB
06. Training The Network-nknJ3Xu3ld0.pt-BR.vtt	5.8 KB
01. Intro.html	6.5 KB
06. Training The Network-nknJ3Xu3ld0.en.vtt	6.5 KB
02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt	7.5 KB
02. Sentiment Prediction-uGN3rZJRiMY.zh-CN.vtt	8.2 KB
02. Sentiment Prediction-uGN3rZJRiMY.en.vtt	8.9 KB
05. Building The RNN 1-XTD6slf64fM.zh-CN.vtt	12.4 KB
05. Building The RNN 1-XTD6slf64fM.pt-BR.vtt	12.6 KB
05. Building The RNN 1-XTD6slf64fM.en.vtt	14.2 KB
07. Sentiment RNN 2-V9YGGjmoHS0.zh-CN.vtt	15.1 KB
07. Sentiment RNN 2-V9YGGjmoHS0.pt-BR.vtt	16.1 KB
07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt	18.1 KB
04. Creating Testing Sets-BRBbrNLz1ho.mp4	2.2 MB
03. Data Preprocessing-h4-LwZU9_k8.mp4	7.2 MB
06. Training The Network-nknJ3Xu3ld0.mp4	8.8 MB
02. Sentiment Prediction-uGN3rZJRiMY.mp4	11.8 MB
05. Building The RNN 1-XTD6slf64fM.mp4	20.0 MB
07. Sentiment RNN 2-V9YGGjmoHS0.mp4	24.2 MB
/Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/
22. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt	2.2 KB
22. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt	2.5 KB
22. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt	2.8 KB
10. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt	2.9 KB
10. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt	3.0 KB
10. Building a Neural Network-aM2k7RTjjJI.en.vtt	3.4 KB
01. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt	3.8 KB
09. Mini Project 2 Solution-45ihpPaeO8E.pt-BR.vtt	4.0 KB
07. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt	4.3 KB
07. Transforming Text into Numbers-7rHBU5cbePE.zh-CN.vtt	4.4 KB
09. Mini Project 2 Solution-45ihpPaeO8E.zh-CN.vtt	4.7 KB
01. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt	5.1 KB
07. Transforming Text into Numbers-7rHBU5cbePE.en.vtt	5.2 KB
09. Mini Project 2 Solution-45ihpPaeO8E.en.vtt	5.2 KB
index.html	5.3 KB
01. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt	5.6 KB
22. Conclusion.html	7.1 KB
04. Framing the Problem.html	7.1 KB
18. Further Noise Reduction.html	7.1 KB
10. Building a Neural Network.html	7.1 KB
13. Understanding Neural Noise.html	7.1 KB
07. Transforming Text into Numbers.html	7.2 KB
15. Understanding Inefficiencies in our Network.html	7.2 KB
06. Mini Project 1 Solution.html	7.4 KB
17. Mini Project 5 Solution.html	7.4 KB
12. Mini Project 3 Solution.html	7.4 KB
09. Mini Project 2 Solution.html	7.4 KB
01. Meet Andrew.html	7.4 KB
03. The Notebooks.html	7.5 KB
21. Analysis What's Going on in the Weights.html	7.5 KB
20. Mini Project 6 Solution.html	7.5 KB
05. Mini Project 1.html	7.7 KB
14. Mini Project 4.html	7.7 KB
06. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt	7.8 KB
15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt	8.0 KB
04. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt	8.0 KB
17. Mini Project 5 Solution-Hv86B_jjWTI.zh-CN.vtt	8.4 KB
15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt	8.4 KB
17. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt	8.5 KB
04. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt	8.5 KB
16. Mini Project 5.html	8.5 KB
11. Mini Project 3.html	8.6 KB
19. Mini Project 6.html	8.7 KB
04. Framing the Problem-IsTOnkAKaJw.en.vtt	9.0 KB
06. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt	9.0 KB
06. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt	9.1 KB
02. Materials.html	9.3 KB
15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt	9.5 KB
08. Mini Project 2.html	9.6 KB
17. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt	9.8 KB
18. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt	10.2 KB
18. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt	10.4 KB
18. Further Noise Reduction-Kl3hWxizKVg.en.vtt	11.2 KB
21. Analysis What's Going on in the Weights-UHsT35pbpcE.zh-CN.vtt	12.4 KB
20. Mini Project 6 Solution-ji0famK7gOQ.zh-CN.vtt	12.4 KB
20. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt	12.5 KB
21. Analysis What's Going on in the Weights-UHsT35pbpcE.pt-BR.vtt	12.9 KB
13. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt	13.8 KB
21. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt	14.0 KB
13. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt	14.0 KB
20. Mini Project 6 Solution-ji0famK7gOQ.en.vtt	14.3 KB
13. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt	16.0 KB
12. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt	16.2 KB
12. Mini Project 3 Solution-imnxzCev4SI.zh-CN.vtt	16.2 KB
12. Mini Project 3 Solution-imnxzCev4SI.en.vtt	18.9 KB
07. Transforming Text into Numbers-7rHBU5cbePE.mp4	7.0 MB
09. Mini Project 2 Solution-45ihpPaeO8E.mp4	9.7 MB
10. Building a Neural Network-aM2k7RTjjJI.mp4	10.7 MB
22. Andrew Trask - Outro-nIF0GLOQglQ.mp4	12.4 MB
04. Framing the Problem-IsTOnkAKaJw.mp4	18.5 MB
15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4	21.7 MB
18. Further Noise Reduction-Kl3hWxizKVg.mp4	23.4 MB
01. Andrew Trask - Intro-da1I0mea1jQ.mp4	24.9 MB
06. Mini Project 1 Solution-l4r5l0HvHRI.mp4	26.0 MB
17. Mini Project 5 Solution-Hv86B_jjWTI.mp4	30.3 MB
21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4	35.3 MB
20. Mini Project 6 Solution-ji0famK7gOQ.mp4	41.0 MB
13. Understanding Neural Noise-ubqhh4Iv7O4.mp4	52.7 MB
12. Mini Project 3 Solution-imnxzCev4SI.mp4	57.2 MB
/Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/
08. Negative Sampling-gW17AHBKbHY.zh-CN.vtt	2.2 KB
08. Negative Sampling-gW17AHBKbHY.pt-BR.vtt	2.4 KB
06. Batches Solution-DdfR0RjSC-Q.zh-CN.vtt	2.5 KB
06. Batches Solution-DdfR0RjSC-Q.pt-BR.vtt	2.6 KB
08. Negative Sampling-gW17AHBKbHY.en.vtt	2.6 KB
06. Batches Solution-DdfR0RjSC-Q.en.vtt	2.7 KB
09. Building The Network Solution-pkBAhQ2Ki-8.zh-CN.vtt	3.4 KB
05. Making Batches-jx7qwdw-94k.zh-CN.vtt	3.9 KB
10. Training Results-uISA5ns47s8.zh-CN.vtt	3.9 KB
09. Building The Network Solution-pkBAhQ2Ki-8.pt-BR.vtt	4.1 KB
09. Building The Network Solution-pkBAhQ2Ki-8.en.vtt	4.2 KB
07. Building The Network-fhSb5c6UX6M.zh-CN.vtt	4.2 KB
index.html	4.3 KB
10. Training Results-uISA5ns47s8.en.vtt	4.5 KB
10. Training Results-uISA5ns47s8.pt-BR.vtt	4.5 KB
05. Making Batches-jx7qwdw-94k.en.vtt	4.6 KB
05. Making Batches-jx7qwdw-94k.pt-BR.vtt	4.6 KB
07. Building The Network-fhSb5c6UX6M.pt-BR.vtt	5.0 KB
04. Subsampling Solution-MAUM_mV_lj8.zh-CN.vtt	5.2 KB
07. Building The Network-fhSb5c6UX6M.en.vtt	5.3 KB
05. Making Batches.html	5.7 KB
10. Training Results.html	5.7 KB
06. Batches Solution.html	5.7 KB
08. Negative Sampling.html	5.7 KB
07. Building the Network.html	5.8 KB
04. Subsampling Solution.html	5.8 KB
03. Implementing Word2Vec.html	5.8 KB
09. Building the Network Solution.html	5.8 KB
01. Additional NLP Lessons.html	6.0 KB
04. Subsampling Solution-MAUM_mV_lj8.en.vtt	6.1 KB
04. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt	6.4 KB
02. Embeddings Intro.html	7.3 KB
03. Implementing Word2Vec-7M431_f9HgE.zh-CN.vtt	14.6 KB
03. Implementing Word2Vec-7M431_f9HgE.en.vtt	17.3 KB
03. Implementing Word2Vec-7M431_f9HgE.pt-BR.vtt	17.6 KB
06. Batches Solution-DdfR0RjSC-Q.mp4	4.1 MB
08. Negative Sampling-gW17AHBKbHY.mp4	4.4 MB
09. Building The Network Solution-pkBAhQ2Ki-8.mp4	7.7 MB
05. Making Batches-jx7qwdw-94k.mp4	8.1 MB
07. Building The Network-fhSb5c6UX6M.mp4	8.5 MB
04. Subsampling Solution-MAUM_mV_lj8.mp4	10.1 MB
10. Training Results-uISA5ns47s8.mp4	10.3 MB
03. Implementing Word2Vec-7M431_f9HgE.mp4	24.5 MB
/Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/
01. Welcome-zYDIgmGo4Xc.zh-CN.vtt	2.3 KB
01. Welcome-zYDIgmGo4Xc.en.vtt	2.6 KB
03. VUI Applications-wZLP8cdiA2Y.zh-CN.vtt	3.6 KB
index.html	3.8 KB
03. VUI Applications-wZLP8cdiA2Y.en.vtt	4.1 KB
02. VUI Overview.html	4.9 KB
01. Welcome to Voice User Interfaces!.html	4.9 KB
03. VUI Applications.html	4.9 KB
02. VUI Overview-w5QGti1LHzc.zh-CN.vtt	6.2 KB
02. VUI Overview-w5QGti1LHzc.en.vtt	7.0 KB
01. Welcome-zYDIgmGo4Xc.mp4	8.6 MB
03. VUI Applications-wZLP8cdiA2Y.mp4	12.8 MB
02. VUI Overview-w5QGti1LHzc.mp4	13.5 MB
/Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/
01. Intro NLP-6myHs4e71Ys.zh-CN.vtt	2.3 KB
01. Intro NLP-6myHs4e71Ys.en.vtt	2.5 KB
index.html	3.9 KB
01. Welcome to the Natural Language Processing Nanodegree.html	5.1 KB
04. Lesson Plan - Week 1.html	6.7 KB
03. Community Guidelines.html	7.6 KB
02. Deadline Policy.html	16.5 KB
01. Intro NLP-6myHs4e71Ys.mp4	6.4 MB
/Part 06-Module 01-Lesson 04_Sequence to Sequence/
04. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt	2.5 KB
04. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt	2.6 KB
04. Applications seq2seq-tDJBDwriJYQ.en.vtt	2.7 KB
index.html	4.0 KB
06. Architecture in More Depth-rdAo4MqLbEk.zh-CN.vtt	4.7 KB
05. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt	4.9 KB
05. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt	5.0 KB
06. Architecture in More Depth-rdAo4MqLbEk.pt-BR.vtt	5.1 KB
03. Jay's Introduction-HPOzAlXhuxQ.zh-CN.vtt	5.3 KB
06. Architecture in More Depth-rdAo4MqLbEk.en.vtt	5.3 KB
04. Applications.html	5.4 KB
03. Jay Introduction.html	5.4 KB
05. Architectures.html	5.4 KB
06. Architectures in More Depth.html	5.4 KB
07. Outro.html	5.5 KB
05. Architecture encoder decoder-dkHdEAJnV_w.en.vtt	5.6 KB
03. Jay's Introduction-HPOzAlXhuxQ.pt-BR.vtt	5.7 KB
03. Jay's Introduction-HPOzAlXhuxQ.en.vtt	5.9 KB
01. Introducing Jay Alammar.html	5.9 KB
02. Previous Material.html	6.0 KB
04. Applications seq2seq-tDJBDwriJYQ.mp4	2.6 MB
05. Architecture encoder decoder-dkHdEAJnV_w.mp4	4.7 MB
06. Architecture in More Depth-rdAo4MqLbEk.mp4	5.6 MB
03. Jay's Introduction-HPOzAlXhuxQ.mp4	6.1 MB
/Part 05-Module 01-Lesson 02_Udacity Support/
index.html	3.6 KB
01. Udacity Support.html	7.6 KB
/Part 04-Module 01-Lesson 01_What's Next/
index.html	3.6 KB
01. Ready to Level Up with NLP.html	5.4 KB
/Part 05-Module 02-Lesson 01_Jobs in NLP/
02. Career Services-cuKecPpZ7PM.en.vtt	3.7 KB
index.html	3.8 KB
02. Career Services-cuKecPpZ7PM.pt-BR.vtt	3.9 KB
03. Access Your Career Portal.html	6.2 KB
02. Meet the Careers Team.html	6.8 KB
04. Your Udacity Professional Profile.html	7.1 KB
01. Jobs in NLP.html	13.1 KB
02. Career Services-cuKecPpZ7PM.mp4	10.6 MB
/Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/
index.html	3.8 KB
01. Overview.html	6.8 KB
03. Tasks.html	8.5 KB
04. Deploying Your Skill.html	9.6 KB
02. Getting Started.html	11.3 KB
/Part 05-Module 01-Lesson 08_(Optional) IBM Watson Bookworm Lab/
index.html	3.8 KB
02. Getting Started.html	5.3 KB
04. Workspace Bookworm.html	5.5 KB
01. Overview.html	5.5 KB
03. Tasks.html	8.1 KB
/Part 13-Module 01-Lesson 01_Project Part of Speech Tagging/
index.html	3.8 KB
Project Description - Part of Speech Tagging.html	6.9 KB
01. Introduction.html	8.5 KB
Project Rubric - Part of Speech Tagging.html	9.3 KB
/assets/css/
styles.css	3.9 KB
katex.min.css	22.1 KB
plyr.css	24.2 KB
jquery.mCustomScrollbar.min.css	42.8 KB
bootstrap.min.css	140.9 KB
/assets/css/fonts/
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KaTeX_Main-Italic.ttf	48.0 KB
KaTeX_Main-Bold.ttf	61.7 KB
KaTeX_Main-Regular.ttf	70.1 KB
KaTeX_AMS-Regular.ttf	71.4 KB
/img/
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/Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/
index.html	3.9 KB
02. Create an AWS Account.html	5.9 KB
03. Get Access to GPU Instances.html	7.1 KB
01. Overview.html	7.4 KB
05. Remotely Connecting to Your Instance.html	9.0 KB
04. Launch Your Instance.html	9.3 KB
/Part 06-Module 01-Lesson 06_RNN Keras Lab/
index.html	4.0 KB
03. Deciphering Code with character-level RNNs.html	5.8 KB
04. [SOLUTION] Deciphering code with character-level RNNs.html	5.8 KB
05. Congratulations!.html	5.8 KB
01. Intro.html	5.9 KB
02. Machine Translation.html	20.8 KB
/Part 05-Module 01-Lesson 07_Project Part of Speech Tagging/
index.html	4.0 KB
01. Lesson Plan - Week 3.html	5.4 KB
03. Workspace Part of Speech Tagging.html	5.8 KB
Project Description - Part of Speech Tagging.html	7.2 KB
02. Introduction.html	8.7 KB
Project Rubric - Part of Speech Tagging.html	9.5 KB
/Part 06-Module 01-Lesson 08_Project Machine Translation/
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03. NLP Machine Translation Workspace.html	5.9 KB
04. Project Machine Translation.html	6.0 KB
Project Rubric - Project Machine Translation.html	9.2 KB
Project Description - Project Machine Translation.html	9.2 KB
02. Workspaces Best Practices.html	9.9 KB
01. Introduction to GPU Workspaces.html	16.2 KB
/Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/
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05. VUI Speech Recognizer Workspace.html	6.0 KB
01. Overview.html	6.0 KB
Project Description - Project DNN Speech Recognizer.html	6.3 KB
04. Tasks.html	6.5 KB
03. Workspaces Best Practices.html	9.9 KB
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02. Introduction to GPU Workspaces.html	16.2 KB
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