CourseClub NET UDACITY NLP Foundations Nanodegree | 991655BE3BD741B0D60653636288D456C3F05187

CourseClub NET UDACITY NLP Foundations Nanodegree

Name	[CourseClub.NET] UDACITY - NLP Foundations Nanodegree	DOWNLOAD Copy Link
Total Size	1.1 GB
Total Files	1197
Hash	991655BE3BD741B0D60653636288D456C3F05187

/
Course Index.rar	7.7 KB
[CourseClub.NET].url	0.1 KB
[DesireCourse.Com].url	0.1 KB
/Part 01-Module 01-Lesson 01_Intro to Natural Language Processing/
01. NLP Overview.html	5.4 KB
01. Welcome to NLP-g-AlFF61p0I.en.vtt	1.7 KB
01. Welcome to NLP-g-AlFF61p0I.mp4	5.2 MB
01. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt	1.5 KB
02. Structured Languages-NsmqUIHlk6U.en.vtt	1.8 KB
02. Structured Languages-NsmqUIHlk6U.mp4	5.6 MB
02. Structured Languages-NsmqUIHlk6U.zh-CN.vtt	1.5 KB
02. Structured Languages.html	8.4 KB
03. Grammar-Jw3dA7xmoQ4.en.vtt	0.7 KB
03. Grammar-Jw3dA7xmoQ4.mp4	2.2 MB
03. Grammar-Jw3dA7xmoQ4.zh-CN.vtt	0.6 KB
03. Grammar.html	7.2 KB
04. Unstructured Text-OmwSdaec5vU.en.vtt	1.8 KB
04. Unstructured Text-OmwSdaec5vU.mp4	4.9 MB
04. Unstructured Text-OmwSdaec5vU.zh-CN.vtt	1.6 KB
04. Unstructured Text.html	7.7 KB
05. Counting Words.html	9.0 KB
06. Context Is Everything.html	5.9 KB
06. Context-J-4pfu2w1C0.en.vtt	2.2 KB
06. Context-J-4pfu2w1C0.mp4	4.8 MB
06. Context-J-4pfu2w1C0.zh-CN.vtt	2.0 KB
07. NLP and IBM Watson.html	5.5 KB
07. Natural Language Processing-sQiURKPFXNM.en.vtt	4.5 KB
07. Natural Language Processing-sQiURKPFXNM.mp4	16.2 MB
07. Natural Language Processing-sQiURKPFXNM.zh-CN.vtt	4.1 KB
08. Applications of NLP-33dq-H6U4AI.en.vtt	7.2 KB
08. Applications of NLP-33dq-H6U4AI.mp4	29.3 MB
08. Applications of NLP-33dq-H6U4AI.zh-CN.vtt	6.3 KB
08. Applications of NLP.html	5.4 KB
09. Challenges in NLP.html	5.4 KB
09. NLP H 8-LMvKyA3ZBZE.en.vtt	8.6 KB
09. NLP H 8-LMvKyA3ZBZE.mp4	31.9 MB
09. NLP H 8-LMvKyA3ZBZE.zh-CN.vtt	7.6 KB
10. NLP Services-vTupzLkpxJU.en.vtt	5.1 KB
10. NLP Services-vTupzLkpxJU.mp4	17.3 MB
10. NLP Services-vTupzLkpxJU.zh-CN.vtt	4.5 KB
10. NLP Services.html	7.7 KB
11. Getting Started with Watson-9LTS9JfGNzM.en.vtt	14.3 KB
11. Getting Started with Watson-9LTS9JfGNzM.mp4	22.9 MB
11. Getting Started with Watson-9LTS9JfGNzM.zh-CN.vtt	12.9 KB
11. Getting Started with Watson.html	6.6 KB
12. Deploying a Bluemix Application-YF2SgUXzk9k.en.vtt	1.2 KB
12. Deploying a Bluemix Application-YF2SgUXzk9k.mp4	3.0 MB
12. Deploying a Bluemix Application-YF2SgUXzk9k.zh-CN.vtt	1.1 KB
12. Deploying a Bluemix Application.html	6.0 KB
13. Towards Augmented Intelligence-6y2B8VKoGTw.en.vtt	3.4 KB
13. Towards Augmented Intelligence-6y2B8VKoGTw.mp4	13.0 MB
13. Towards Augmented Intelligence-6y2B8VKoGTw.zh-CN.vtt	3.1 KB
13. Towards Augmented Intelligence.html	5.5 KB
14. [Preview] Project Bookworm.html	11.3 KB
index.html	4.1 KB
/img/
watson-logo.png	194.9 KB
/Part 01-Module 01-Lesson 02_Bookworm/
01. Overview.html	4.9 KB
02. Getting Started.html	4.7 KB
03. Tasks.html	7.5 KB
04. Bookworm (Optional).html	4.4 KB
index.html	3.2 KB
/img/
bookworm-hero2-1200x900.jpeg	482.6 KB
watson-logo.png	194.9 KB
/.../Lesson 01_Intro to Natural Language Processing/
data.json	39.0 KB
/.../Lesson 02_Bookworm/
data.json	9.4 KB
/Part 02-Module 01-Lesson 01_Deep Neural Networks/
01. Introduction-ZWRZvOXiC28.en.vtt	3.6 KB
01. Introduction-ZWRZvOXiC28.mp4	13.4 MB
01. Introduction-ZWRZvOXiC28.zh-CN.vtt	3.2 KB
01. Introduction.html	9.2 KB
02. Classification Problems 1.html	10.5 KB
02. Classsification Example-Dh625piH7Z0.en.vtt	2.8 KB
02. Classsification Example-Dh625piH7Z0.mp4	2.2 MB
02. Classsification Example-Dh625piH7Z0.pt-BR.vtt	2.6 KB
02. Classsification Example-Dh625piH7Z0.zh-CN.vtt	2.4 KB
03. Classification Example-46PywnGa_cQ.en.vtt	1.8 KB
03. Classification Example-46PywnGa_cQ.mp4	1.7 MB
03. Classification Example-46PywnGa_cQ.pt-BR.vtt	1.6 KB
03. Classification Example-46PywnGa_cQ.zh-CN.vtt	1.7 KB
03. Classification Problems 2.html	9.4 KB
04. Linear Boundaries-X-uMlsBi07k.en.vtt	3.9 KB
04. Linear Boundaries-X-uMlsBi07k.mp4	4.0 MB
04. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt	3.8 KB
04. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt	3.4 KB
04. Linear Boundaries.html	10.1 KB
05. 09 Higher Dimensions-eBHunImDmWw.en.vtt	3.0 KB
05. 09 Higher Dimensions-eBHunImDmWw.mp4	2.7 MB
05. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt	2.7 KB
05. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt	2.4 KB
05. Higher Dimensions.html	10.5 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt	6.0 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4	5.4 MB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt	5.7 KB
06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt	5.1 KB
06. Perceptrons.html	10.5 KB
07. Why Neural Networks-zAkzOZntK6Y.en.vtt	1.4 KB
07. Why Neural Networks-zAkzOZntK6Y.mp4	1.0 MB
07. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt	1.3 KB
07. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt	1.2 KB
07. Why Neural Networks.html	9.4 KB
08. AND And OR Perceptrons-45K5N0P9wJk.en.vtt	3.1 KB
08. AND And OR Perceptrons-45K5N0P9wJk.mp4	2.8 MB
08. AND And OR Perceptrons-45K5N0P9wJk.pt-BR.vtt	3.2 KB
08. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt	2.5 KB
08. Perceptrons as Logical Operators.html	20.9 KB
08. XOR Perceptron-TF83GfjYLdw.en.vtt	1.0 KB
08. XOR Perceptron-TF83GfjYLdw.mp4	969.7 KB
08. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt	1.0 KB
08. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt	1.0 KB
09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt	4.2 KB
09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4	3.8 MB
09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt	4.3 KB
09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt	3.6 KB
09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt	0.4 KB
09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4	266.3 KB
09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt	0.4 KB
09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt	0.4 KB
09. Perceptron Algorithm--zhTROHtscQ.en.vtt	2.7 KB
09. Perceptron Algorithm--zhTROHtscQ.mp4	2.0 MB
09. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt	2.5 KB
09. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt	2.4 KB
09. Perceptron Trick.html	13.2 KB
10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt	3.5 KB
10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4	3.0 MB
10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt	3.4 KB
10. Perceptron Algorithm.html	16.9 KB
11. Non-Linear Regions-B8UrWnHh1Wc.en.vtt	1.8 KB
11. Non-Linear Regions-B8UrWnHh1Wc.mp4	1.4 MB
11. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt	1.5 KB
11. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt	1.6 KB
11. Non-Linear Regions.html	9.4 KB
12. Error Functions-YfUUunxWIJw.en.vtt	0.8 KB
12. Error Functions-YfUUunxWIJw.mp4	3.7 MB
12. Error Functions-YfUUunxWIJw.pt-BR.vtt	0.8 KB
12. Error Functions-YfUUunxWIJw.zh-CN.vtt	0.7 KB
12. Error Functions.html	9.3 KB
13. Error Functions-jfKShxGAbok.en.vtt	9.7 KB
13. Error Functions-jfKShxGAbok.mp4	7.6 MB
13. Error Functions-jfKShxGAbok.pt-BR.vtt	9.4 KB
13. Error Functions-jfKShxGAbok.zh-CN.vtt	8.6 KB
13. Log-loss Error Function.html	11.0 KB
14. Discrete vs Continuous-rdP-RPDFkl0.en.vtt	0.6 KB
14. Discrete vs Continuous-rdP-RPDFkl0.mp4	2.4 MB
14. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt	0.6 KB
14. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt	0.5 KB
14. Discrete vs Continuous.html	11.6 KB
14. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt	5.8 KB
14. Discrete vs. Continuous-Rm2KxFaPiJg.mp4	5.6 MB
14. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt	5.8 KB
14. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt	4.8 KB
15. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt	5.5 KB
15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4	4.2 MB
15. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt	5.2 KB
15. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt	4.5 KB
15. DL 18 S Softmax-n8S-v_LCTms.en.vtt	2.7 KB
15. DL 18 S Softmax-n8S-v_LCTms.mp4	2.0 MB
15. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt	2.6 KB
15. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt	2.4 KB
15. Quiz - Softmax-NNoezNnAMTY.en.vtt	0.5 KB
15. Quiz - Softmax-NNoezNnAMTY.mp4	1.8 MB
15. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt	0.5 KB
15. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt	0.5 KB
15. Softmax.html	13.6 KB
16. One-Hot Encoding-AePvjhyvsBo.en.vtt	2.3 KB
16. One-Hot Encoding-AePvjhyvsBo.mp4	1.7 MB
16. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt	2.1 KB
16. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt	2.1 KB
16. One-Hot Encoding.html	9.3 KB
17. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt	1.7 KB
17. Maximum Likelihood 1-1yJx-QtlvNI.mp4	6.0 MB
17. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt	1.7 KB
17. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt	1.5 KB
17. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt	4.5 KB
17. Maximum Likelihood 2-6nUUeQ9AeUA.mp4	4.0 MB
17. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt	4.6 KB
17. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt	3.8 KB
17. Maximum Likelihood.html	11.7 KB
18. Maximizing Probabilities.html	11.2 KB
18. Quiz - Cross 1--xxrisIvD0E.en.vtt	0.9 KB
18. Quiz - Cross 1--xxrisIvD0E.mp4	3.2 MB
18. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt	0.9 KB
18. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt	0.8 KB
18. Quiz Cross Entropy-njq6bYrPqSU.en.vtt	2.4 KB
18. Quiz Cross Entropy-njq6bYrPqSU.mp4	2.0 MB
18. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt	2.3 KB
18. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt	2.1 KB
19. Cross Entropy 1-iREoPUrpXvE.en.vtt	4.9 KB
19. Cross Entropy 1-iREoPUrpXvE.mp4	4.4 MB
19. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt	5.1 KB
19. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt	4.2 KB
19. Cross-Entropy 1.html	9.6 KB
20. Cross-Entropy 2.html	11.9 KB
20. CrossEntropy V1-1BnhC6e0TFw.en.vtt	8.2 KB
20. CrossEntropy V1-1BnhC6e0TFw.mp4	6.9 MB
20. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt	8.0 KB
20. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt	6.8 KB
20. Formula For Cross 1-qvr_ego_d6w.en.vtt	0.6 KB
20. Formula For Cross 1-qvr_ego_d6w.mp4	2.2 MB
20. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt	0.7 KB
20. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt	0.5 KB
21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt	4.8 KB
21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4	4.3 MB
21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt	4.7 KB
21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt	4.1 KB
21. Multi-Class Cross Entropy.html	10.5 KB
22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt	1.7 KB
22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4	1.6 MB
22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt	1.5 KB
22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt	1.5 KB
22. Error Function-V5kkHldUlVU.en.vtt	5.0 KB
22. Error Function-V5kkHldUlVU.mp4	5.1 MB
22. Error Function-V5kkHldUlVU.pt-BR.vtt	5.3 KB
22. Error Function-V5kkHldUlVU.zh-CN.vtt	4.2 KB
22. Logistic Regression.html	11.0 KB
23. Gradient Descent-rhVIF-nigrY.en.vtt	3.9 KB
23. Gradient Descent-rhVIF-nigrY.mp4	3.9 MB
23. Gradient Descent-rhVIF-nigrY.pt-BR.vtt	4.1 KB
23. Gradient Descent.html	17.4 KB
24. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt	4.4 KB
24. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4	3.4 MB
24. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt	4.3 KB
24. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt	3.7 KB
24. Perceptron vs Gradient Descent.html	9.7 KB
25. Continuous Perceptrons-07-JJ-aGEfM.en.vtt	1.4 KB
25. Continuous Perceptrons-07-JJ-aGEfM.mp4	1.2 MB
25. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt	1.3 KB
25. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt	1.2 KB
25. Continuous Perceptrons.html	9.4 KB
26. Non-Linear Data-F7ZiE8PQiSc.en.vtt	0.6 KB
26. Non-Linear Data-F7ZiE8PQiSc.mp4	2.2 MB
26. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt	0.6 KB
26. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt	0.6 KB
26. Non-linear Data.html	9.3 KB
27. Non-Linear Models-HWuBKCZsCo8.en.vtt	1.3 KB
27. Non-Linear Models-HWuBKCZsCo8.mp4	1.2 MB
27. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt	1.4 KB
27. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt	1.1 KB
27. Non-Linear Models.html	9.3 KB
28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt	3.1 KB
28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4	3.0 MB
28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt	3.4 KB
28. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt	2.8 KB
28. Combinando modelos-Boy3zHVrWB4.en.vtt	5.4 KB
28. Combinando modelos-Boy3zHVrWB4.mp4	5.0 MB
28. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt	5.4 KB
28. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt	4.7 KB
28. Layers-pg99FkXYK0M.en.vtt	3.5 KB
28. Layers-pg99FkXYK0M.mp4	3.3 MB
28. Layers-pg99FkXYK0M.pt-BR.vtt	3.4 KB
28. Layers-pg99FkXYK0M.zh-CN.vtt	3.1 KB
28. Multiclass Classification-uNTtvxwfox0.en.vtt	2.1 KB
28. Multiclass Classification-uNTtvxwfox0.mp4	2.0 MB
28. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt	2.2 KB
28. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt	1.9 KB
28. Neural Network Architecture.html	14.0 KB
29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt	6.3 KB
29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4	5.6 MB
29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt	6.9 KB
29. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt	5.5 KB
29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt	2.0 KB
29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4	1.8 MB
29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt	2.2 KB
29. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt	1.7 KB
29. Feedforward.html	10.6 KB
30. Backpropagation V2-1SmY3TZTyUk.en.vtt	7.4 KB
30. Backpropagation V2-1SmY3TZTyUk.mp4	6.8 MB
30. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt	7.3 KB
30. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt	6.5 KB
30. Backpropagation.html	13.5 KB
30. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt	3.5 KB
30. Calculating The Gradient 1 -tVuZDbUrzzI.mp4	3.5 MB
30. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt	3.5 KB
30. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt	3.0 KB
30. Chain Rule-YAhIBOnbt54.en.vtt	1.7 KB
30. Chain Rule-YAhIBOnbt54.mp4	1.5 MB
30. Chain Rule-YAhIBOnbt54.pt-BR.vtt	1.8 KB
30. Chain Rule-YAhIBOnbt54.zh-CN.vtt	1.5 KB
30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt	6.3 KB
30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4	6.0 MB
30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt	6.7 KB
30. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt	5.2 KB
31. Keras.html	19.6 KB
32. Mini Project Students Admissions in Keras.html	15.3 KB
33. Lesson Plan Week 2.html	9.2 KB
34. Training Optimization-UiGKhx9pUYc.en.vtt	0.8 KB
34. Training Optimization-UiGKhx9pUYc.mp4	3.1 MB
34. Training Optimization-UiGKhx9pUYc.pt-BR.vtt	0.9 KB
34. Training Optimization-UiGKhx9pUYc.zh-CN.vtt	0.8 KB
34. Training Optimization.html	9.4 KB
35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt	4.8 KB
35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.mp4	4.1 MB
35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt	4.7 KB
35. Batch Vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt	4.2 KB
35. Batch vs Stochastic Gradient Descent.html	10.0 KB
36. Learning Rate Decay.html	9.3 KB
36. Learning Rate-TwJ8aSZoh2U.en.vtt	1.1 KB
36. Learning Rate-TwJ8aSZoh2U.mp4	949.3 KB
36. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt	1.3 KB
36. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt	1.0 KB
37. Testing-EeBZpb-PSac.en.vtt	2.5 KB
37. Testing-EeBZpb-PSac.mp4	2.1 MB
37. Testing-EeBZpb-PSac.pt-BR.vtt	2.4 KB
37. Testing-EeBZpb-PSac.zh-CN.vtt	2.0 KB
37. Testing.html	9.7 KB
38. Overfitting and Underfitting.html	9.4 KB
38. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt	7.7 KB
38. Underfitting And Overfitting-xj4PlXMsN-Y.mp4	6.7 MB
38. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt	8.3 KB
38. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt	6.7 KB
39. Early Stopping.html	9.4 KB
39. Model Complexity Graph-NnS0FJyVcDQ.en.vtt	5.4 KB
39. Model Complexity Graph-NnS0FJyVcDQ.mp4	5.1 MB
39. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt	5.7 KB
39. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt	4.8 KB
40. DL 53 Q Regularization-KxROxcRsHL8.en.vtt	1.2 KB
40. DL 53 Q Regularization-KxROxcRsHL8.mp4	1.1 MB
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42. Dropout.html	9.9 KB
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43. Vanishing Gradient.html	9.4 KB
44. Other Activation Functions-kA-1vUt6cvQ.en.vtt	2.7 KB
44. Other Activation Functions-kA-1vUt6cvQ.mp4	2.4 MB
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44. Other Activation Functions.html	10.2 KB
45. Local Minima-gF_sW_nY-xw.en.vtt	1.2 KB
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46. Random Restart-idyBBCzXiqg.en.vtt	0.5 KB
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47. Momentum-r-rYz_PEWC8.en.vtt	2.6 KB
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47. Momentum.html	9.3 KB
48. Optimizers in Keras.html	10.1 KB
49. Error Functions Around the World-34AAcTECu2A.en.vtt	1.2 KB
49. Error Functions Around the World-34AAcTECu2A.mp4	1.8 MB
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49. Error Functions Around the World.html	9.5 KB
50. Keras Lab-a50un22BsLI.en.vtt	0.6 KB
50. Keras Lab-a50un22BsLI.mp4	2.3 MB
50. Keras Lab-a50un22BsLI.pt-BR.vtt	0.6 KB
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50. Mini Project Intro.html	9.3 KB
51. Mini Project IMDB Data in Keras.html	13.2 KB
52. Outro-HZt6bf73bOo.en.vtt	0.8 KB
52. Outro-HZt6bf73bOo.mp4	3.2 MB
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index.html	7.0 KB
/img/
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/Part 02-Module 02-Lesson 01_Convolutional Neural Networks/
007. When do MLPs (not) work well .html	7.5 KB
008. Mini Project Training an MLP on MNIST.html	10.5 KB
01. Introducing Alexis-38ExGpdyvJI.en.vtt	0.7 KB
01. Introducing Alexis-38ExGpdyvJI.mp4	2.2 MB
01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt	0.6 KB
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01. Introducing Alexis.html	7.3 KB
02. Applications of CNNs-HrYNL_1SV2Y.en.vtt	5.5 KB
02. Applications of CNNs-HrYNL_1SV2Y.mp4	18.6 MB
02. Applications of CNNs-HrYNL_1SV2Y.pt-BR.vtt	5.8 KB
02. Applications of CNNs-HrYNL_1SV2Y.zh-CN.vtt	4.8 KB
02. Applications of CNNs.html	12.6 KB
03. How Computers Interpret Images-V4f6p6uRhu8.en.vtt	5.7 KB
03. How Computers Interpret Images-V4f6p6uRhu8.mp4	6.5 MB
03. How Computers Interpret Images-V4f6p6uRhu8.pt-BR.vtt	6.1 KB
03. How Computers Interpret Images-V4f6p6uRhu8.zh-CN.vtt	5.0 KB
03. How Computers Interpret Images.html	8.6 KB
04. MLPs For Image Classification-TIFStebu530.en.vtt	3.9 KB
04. MLPs For Image Classification-TIFStebu530.mp4	4.6 MB
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05. Categorical Cross-Entropy-3sDYifgjFck.en.vtt	4.9 KB
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06. Model Validation in Keras-002jNXSM6CU.en.vtt	5.6 KB
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06. Model Validation in Keras.html	7.8 KB
07. When do MLPs (not) work well .html	7.5 KB
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08. Mini Project Training an MLP on MNIST.html	10.5 KB
09. Local Connectivity-z9wiDg0w-Dc.en.vtt	9.2 KB
09. Local Connectivity-z9wiDg0w-Dc.mp4	13.7 MB
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09. Local Connectivity.html	7.1 KB
10. Convolutional Layers (Part 1).html	7.1 KB
10. Convolutional Layers-h5R_JvdUrUI.en.vtt	7.4 KB
10. Convolutional Layers-h5R_JvdUrUI.mp4	8.4 MB
10. Convolutional Layers-h5R_JvdUrUI.pt-BR.vtt	7.7 KB
10. Convolutional Layers-h5R_JvdUrUI.zh-CN.vtt	6.2 KB
11. Convolutional Layers (Part 2).html	7.9 KB
11. Convolutional Layers-RnM1D-XI--8.en.vtt	10.2 KB
11. Convolutional Layers-RnM1D-XI--8.mp4	20.8 MB
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12. Stride and Padding-0r9o8hprDXQ.en.vtt	4.5 KB
12. Stride and Padding-0r9o8hprDXQ.mp4	8.4 MB
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12. Stride and Padding.html	7.1 KB
13. Convolutional Layers in Keras.html	11.6 KB
14. Quiz Dimensionality.html	15.9 KB
15. Pooling Layers-OkkIZNs7Cyc.en.vtt	5.5 KB
15. Pooling Layers-OkkIZNs7Cyc.mp4	6.1 MB
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16. Max Pooling Layers in Keras.html	10.3 KB
17. CNNs For Image Classification-l9vg_1YUlzg.en.vtt	11.6 KB
17. CNNs For Image Classification-l9vg_1YUlzg.mp4	19.0 MB
17. CNNs For Image Classification-l9vg_1YUlzg.pt-BR.vtt	12.5 KB
17. CNNs For Image Classification-l9vg_1YUlzg.zh-CN.vtt	10.0 KB
17. CNNs for Image Classification.html	10.2 KB
18. CNNs in Keras Practical Example-faFvmGDwXX0.en.vtt	5.5 KB
18. CNNs in Keras Practical Example-faFvmGDwXX0.mp4	9.1 MB
18. CNNs in Keras Practical Example-faFvmGDwXX0.pt-BR.vtt	6.3 KB
18. CNNs in Keras Practical Example-faFvmGDwXX0.zh-CN.vtt	4.9 KB
18. CNNs in Keras Practical Example.html	8.9 KB
19. Mini Project CNNs in Keras.html	7.9 KB
20. Image Augmentation in Keras-odStujZq3GY.en.vtt	8.4 KB
20. Image Augmentation in Keras-odStujZq3GY.mp4	10.8 MB
20. Image Augmentation in Keras-odStujZq3GY.pt-BR.vtt	8.7 KB
20. Image Augmentation in Keras-odStujZq3GY.zh-CN.vtt	7.2 KB
20. Image Augmentation in Keras.html	9.0 KB
21. Mini Project Image Augmentation in Keras.html	8.0 KB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.en.vtt	4.0 KB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.mp4	8.5 MB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.pt-BR.vtt	4.4 KB
22. Groundbreaking CNN Architectures-ddrB-mhMfkY.zh-CN.vtt	3.6 KB
22. Groundbreaking CNN Architectures.html	8.4 KB
23. Visualizing CNNs (Part 1).html	9.4 KB
23. Visualizing CNNs-mnqS_EhEZVg.en.vtt	4.0 KB
23. Visualizing CNNs-mnqS_EhEZVg.mp4	9.6 MB
23. Visualizing CNNs-mnqS_EhEZVg.pt-BR.vtt	3.9 KB
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24. Visualizing CNNs (Part 2).html	14.0 KB
25. Transfer Learning-LHG5FltaR6I.en.vtt	6.1 KB
25. Transfer Learning-LHG5FltaR6I.mp4	14.0 MB
25. Transfer Learning-LHG5FltaR6I.pt-BR.vtt	6.7 KB
25. Transfer Learning-LHG5FltaR6I.zh-CN.vtt	5.5 KB
25. Transfer Learning.html	18.4 KB
26. Transfer Learning in Keras-HsIAznMM1LA.en.vtt	6.3 KB
26. Transfer Learning in Keras-HsIAznMM1LA.mp4	13.6 MB
26. Transfer Learning in Keras-HsIAznMM1LA.pt-BR.vtt	6.9 KB
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26. Transfer Learning in Keras.html	8.6 KB
index.html	5.4 KB
/img/
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conv-dims.png	29.2 KB
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screen-shot-2016-11-24-at-12.09.02-pm.png	3.2 MB
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/Part 02-Module 03-Lesson 01_Intro to TensorFlow/
01. Intro.html	7.7 KB
02. Installing TensorFlow.html	8.2 KB
03. Hello, Tensor World!.html	8.3 KB
04. Quiz TensorFlow Linear Function.html	21.5 KB
05. Quiz TensorFlow Softmax.html	8.5 KB
06. Quiz TensorFlow Cross Entropy.html	8.9 KB
07. Quiz Mini-batch.html	25.4 KB
08. Epochs.html	12.9 KB
09. Lab TensorFlow Neural Network.html	10.5 KB
10. Two-layer Neural Network.html	7.5 KB
11. Quiz TensorFlow ReLUs.html	9.2 KB
12. Deep Neural Network in TensorFlow.html	11.4 KB
13. Save and Restore TensorFlow Models.html	14.6 KB
14. Finetuning.html	9.9 KB
15. Quiz TensorFlow Dropout.html	13.5 KB
index.html	4.2 KB
/img/
cross-entropy-diagram.png	64.2 KB
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dropout-node.jpeg	64.2 KB
layers.png	293.0 KB
linear-equation.gif	1.3 KB
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/media/
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/Part 02-Module 04-Lesson 01_Recurrent Neural Networks/
01. Introducing Jeremy-U7RmFpVevis.en.vtt	0.9 KB
01. Introducing Jeremy-U7RmFpVevis.mp4	2.6 MB
01. Introducing Jeremy-U7RmFpVevis.zh-CN.vtt	0.8 KB
01. Introducing Jeremy.html	8.6 KB
02. Section 1 Introduction-_zo6RiwmDCk.en.vtt	2.2 KB
02. Section 1 Introduction-_zo6RiwmDCk.mp4	4.9 MB
02. Section 1 Introduction-_zo6RiwmDCk.zh-CN.vtt	1.8 KB
02. Section 1 Motivation for RNNs.html	8.4 KB
03. Motivation for RNNs.html	9.4 KB
03. Motivation for RNNs-vPhD02WxMk8.en.vtt	6.3 KB
03. Motivation for RNNs-vPhD02WxMk8.mp4	6.0 MB
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04. Vanilla learning and structured input-oAt0eYD5_Tc.en.vtt	6.8 KB
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04. Vanilla supervised learners and structured input.html	8.5 KB
05. Section 2 Introduction-behe53793wo.en.vtt	0.6 KB
05. Section 2 Introduction-behe53793wo.mp4	1.4 MB
05. Section 2 Introduction-behe53793wo.zh-CN.vtt	0.5 KB
05. Section 2 Motivating and Modelling Recursive Sequences.html	8.5 KB
06. How do we model an ordered sequence-LYcB8iV2bGE.en.vtt	5.7 KB
06. How do we model an ordered sequence-LYcB8iV2bGE.mp4	6.2 MB
06. How do we model an ordered sequence-LYcB8iV2bGE.zh-CN.vtt	5.1 KB
06. Motivating and modeling recursive sequences.html	8.5 KB
07. Simple recursive examples-F4-CBqMsd_Y.en.vtt	8.3 KB
07. Simple recursive examples-F4-CBqMsd_Y.mp4	7.9 MB
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07. Simple recursive examples.html	8.6 KB
08. Recursive or not Part 1.html	9.6 KB
09. Recursive or not Part 2.html	9.8 KB
10. Recursive or not Part 3.html	9.6 KB
11. Graphical model representations of recursive sequences-OS9yQCTzCkg.en.vtt	8.6 KB
11. Graphical model representations of recursive sequences-OS9yQCTzCkg.mp4	8.0 MB
11. Graphical model representations of recursive sequences-OS9yQCTzCkg.zh-CN.vtt	7.8 KB
11. Ways of thinking about recursivity.html	8.6 KB
12. A simple model for my savings account balance-JQ2Nzzxx5oQ.en.vtt	9.8 KB
12. A simple model for my savings account balance-JQ2Nzzxx5oQ.mp4	9.4 MB
12. A simple model for my savings account balance-JQ2Nzzxx5oQ.zh-CN.vtt	8.9 KB
12. Driving a recursive sequence.html	8.5 KB
13. Section summary.html	8.4 KB
13. Summarizing recursivity-l1H8dfGW2A4.en.vtt	1.4 KB
13. Summarizing recursivity-l1H8dfGW2A4.mp4	1.8 MB
13. Summarizing recursivity-l1H8dfGW2A4.zh-CN.vtt	1.3 KB
14. Section 3 Injecting recursivity into a learner (the lazy wa.html	8.5 KB
14. Section 3 Introduction-VyE6NcPbX9Q.en.vtt	0.6 KB
14. Section 3 Introduction-VyE6NcPbX9Q.mp4	1.6 MB
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15. AIND RNN 3 0-jXdIx18dIa0.en.vtt	3.3 KB
15. AIND RNN 3 0-jXdIx18dIa0.mp4	3.0 MB
15. AIND RNN 3 0-jXdIx18dIa0.zh-CN.vtt	3.0 KB
15. Injecting Recursivity into a Learner (the lazy way).html	8.4 KB
16. A first example.html	8.4 KB
16. AIND RNN 3 1 1-NMZ4fU2CuHg.en.vtt	3.8 KB
16. AIND RNN 3 1 1-NMZ4fU2CuHg.mp4	3.9 MB
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17. 3 1 2 Introducing A Parameterized Formula-I72EOcAroFk.en.vtt	3.7 KB
17. 3 1 2 Introducing A Parameterized Formula-I72EOcAroFk.mp4	4.1 MB
17. 3 1 2 Introducing A Parameterized Formula-I72EOcAroFk.zh-CN.vtt	3.5 KB
17. Setting up the example.html	8.5 KB
18. AIND RNN 3 1 3-R1T3JXi_jKY.en.vtt	3.2 KB
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18. Windowing the example sequence.html	8.4 KB
19. AIND RNN 3 1 4-XYljYztPvUs.en.vtt	3.4 KB
19. AIND RNN 3 1 4-XYljYztPvUs.mp4	3.5 MB
19. AIND RNN 3 1 4-XYljYztPvUs.zh-CN.vtt	3.1 KB
19. Using Keras for fitting.html	8.4 KB
20. AIND RNN 3 1 5-6LgdU4avFSk.en.vtt	2.7 KB
20. AIND RNN 3 1 5-6LgdU4avFSk.mp4	2.7 MB
20. AIND RNN 3 1 5-6LgdU4avFSk.zh-CN.vtt	2.4 KB
20. Using a regressor as a generative model.html	8.6 KB
21. 3 2 0 Example 2-2qYjlOV4Vi0.en.vtt	1.1 KB
21. 3 2 0 Example 2-2qYjlOV4Vi0.mp4	1.2 MB
21. 3 2 0 Example 2-2qYjlOV4Vi0.zh-CN.vtt	1.0 KB
21. A second example.html	8.4 KB
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22. AIND RNN 3 2 1-ZFWOCob2gZ8.mp4	3.0 MB
22. AIND RNN 3 2 1-ZFWOCob2gZ8.zh-CN.vtt	2.5 KB
22. Setting up the second example.html	8.4 KB
23. AIND RNN 3 2 2-R4ACff0v7Vk.en.vtt	3.9 KB
23. AIND RNN 3 2 2-R4ACff0v7Vk.mp4	3.9 MB
23. AIND RNN 3 2 2-R4ACff0v7Vk.zh-CN.vtt	3.6 KB
23. Wrapping up the second example.html	8.4 KB
24. 3 3 Twists On Example 2 (1)-Xf1oAaTd42w.en.vtt	6.0 KB
24. 3 3 Twists On Example 2 (1)-Xf1oAaTd42w.mp4	5.6 MB
24. 3 3 Twists On Example 2 (1)-Xf1oAaTd42w.zh-CN.vtt	5.5 KB
24. Interesting twists on the second example.html	8.5 KB
25. 3 4 Example 4-UfOUisfQPZc.en.vtt	5.7 KB
25. 3 4 Example 4-UfOUisfQPZc.mp4	4.7 MB
25. 3 4 Example 4-UfOUisfQPZc.zh-CN.vtt	5.1 KB
25. Real time series example.html	8.4 KB
26. 3 5 Summary-imv4cLtF38o.en.vtt	2.0 KB
26. 3 5 Summary-imv4cLtF38o.mp4	1.8 MB
26. 3 5 Summary-imv4cLtF38o.zh-CN.vtt	1.8 KB
26. Section summary.html	8.3 KB
27. Introduction to Section 4-xx4PxKWVmHo.en.vtt	0.9 KB
27. Introduction to Section 4-xx4PxKWVmHo.mp4	2.1 MB
27. Introduction to Section 4-xx4PxKWVmHo.zh-CN.vtt	0.8 KB
27. Section 4 Injecting Recursivity into Learners the Smart Way.html	8.5 KB
28. Coding up a crazy recursive sequence.html	9.3 KB
29. Flaws with the FNN approach-sUXrzpAkF9A.en.vtt	8.9 KB
29. Flaws with the FNN approach-sUXrzpAkF9A.mp4	7.5 MB
29. Flaws with the FNN approach-sUXrzpAkF9A.zh-CN.vtt	8.1 KB
29. Flaws with the FNN approach.html	8.4 KB
30. RNN fundamental derivations.html	8.4 KB
30. RNNs 4 2 Basic RNN Derivation-Y3-YuSbhbQM.en.vtt	11.3 KB
30. RNNs 4 2 Basic RNN Derivation-Y3-YuSbhbQM.mp4	9.1 MB
30. RNNs 4 2 Basic RNN Derivation-Y3-YuSbhbQM.zh-CN.vtt	10.1 KB
31. Formulating a Least Squares loss.html	8.5 KB
31. RNNs 4 3 Formulating A Least Squares Loss-F5PVwVrEVHY.en.vtt	3.6 KB
31. RNNs 4 3 Formulating A Least Squares Loss-F5PVwVrEVHY.mp4	3.6 MB
31. RNNs 4 3 Formulating A Least Squares Loss-F5PVwVrEVHY.zh-CN.vtt	3.4 KB
32. RNNs 4 4 RNN Properties- Memory-0B8O2eNv2DY.en.vtt	5.2 KB
32. RNNs 4 4 RNN Properties- Memory-0B8O2eNv2DY.mp4	4.6 MB
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32. RNNs and memory.html	8.4 KB
33. RNNs 4 5 RNN Properties- Graphical Models-LON9wniFUiE.en.vtt	2.6 KB
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33. RNNs and graphical models.html	8.5 KB
34. RNN Technical Issues.html	8.9 KB
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34. Technical Issues-6Bpu_XydW2k.mp4	2.0 MB
34. Technical Issues-6Bpu_XydW2k.zh-CN.vtt	2.0 KB
35. Section & Course Summary-gYCL4RBvzRM.en.vtt	3.8 KB
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35. Section & Course Summary-gYCL4RBvzRM.zh-CN.vtt	3.4 KB
35. Section and course summary .html	8.4 KB
36. Outro-LurBj_gmFwk.en.vtt	1.1 KB
36. Outro-LurBj_gmFwk.mp4	2.5 MB
36. Outro-LurBj_gmFwk.zh-CN.vtt	1.1 KB
36. Outro.html	8.3 KB
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/img/
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/Part 02-Module 04-Lesson 02_Long Short-Term Memory Networks (LSTM)/
01. Intro to LSTM.html	6.0 KB
02. RNN Vs LSTM-70MgF-IwAr8.en.vtt	4.8 KB
02. RNN Vs LSTM-70MgF-IwAr8.mp4	3.8 MB
02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt	4.3 KB
02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt	4.3 KB
02. RNN vs LSTM.html	5.2 KB
03. Basics of LSTM.html	5.2 KB
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03. LSTM Basics-gjb68a4XsqE.mp4	4.2 MB
03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt	5.2 KB
03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt	4.7 KB
04. Architecture of LSTM.html	5.2 KB
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04. LSTM Architecture-ycwthhdx8ws.mp4	1.1 MB
04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt	1.5 KB
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05. Learn Gate-aVHVI7ovbHY.en.vtt	2.7 KB
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05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt	2.7 KB
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05. The Learn Gate.html	5.8 KB
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06. The Forget Gate.html	5.7 KB
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07. The Remember Gate.html	5.6 KB
08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt	1.8 KB
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08. The Use Gate.html	5.8 KB
09. Putting It All Together-IF8FlKW-Zo0.en.vtt	2.5 KB
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09. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt	2.4 KB
09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt	2.2 KB
09. Putting it All Together.html	5.3 KB
10. Quiz.html	7.0 KB
11. Other Architectures-MsxFDuYlTuQ.en.vtt	2.4 KB
11. Other Architectures-MsxFDuYlTuQ.mp4	1.8 MB
11. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt	2.5 KB
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11. Other architectures.html	5.6 KB
12. Outro LSTM.html	5.2 KB
index.html	3.8 KB
/img/
meme.png	214.1 KB
screen-shot-2017-11-16-at-4.26.22-pm.png	42.2 KB
screen-shot-2017-11-16-at-4.27.58-pm.png	28.4 KB
screen-shot-2017-11-16-at-4.31.41-pm.png	46.0 KB
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/Part 02-Module 04-Lesson 03_Implementing RNNs and LSTMs/
01. Intro.html	5.7 KB
02. IntroToRNNs Render-64HSG6HAfEI.en-US.vtt	4.6 KB
02. IntroToRNNs Render-64HSG6HAfEI.mp4	4.2 MB
02. IntroToRNNs Render-64HSG6HAfEI.pt.vtt	4.5 KB
02. IntroToRNNs Render-64HSG6HAfEI.zh-CN.vtt	4.0 KB
02. Review of RNNs.html	5.9 KB
03. LSTMs-RYbSHogZetc.en.vtt	7.2 KB
03. LSTMs-RYbSHogZetc.mp4	7.2 MB
03. LSTMs-RYbSHogZetc.pt.vtt	7.6 KB
03. LSTMs-RYbSHogZetc.zh-CN.vtt	6.6 KB
03. Review of LSTMs.html	5.6 KB
04. Character-Wise RNN-dXl3eWCGLdU.en.vtt	3.4 KB
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04. Character-wise RNNs.html	5.7 KB
05. Sequence Batching.html	5.7 KB
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05. Sequence-Batching-Z4OiyU0Cldg.mp4	2.4 MB
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06. Character-wise RNN Notebook.html	6.0 KB
07. Implementing a Character-wise RNN-KPCMn_jg2oY.en.vtt	10.2 KB
07. Implementing a Character-wise RNN-KPCMn_jg2oY.mp4	14.3 MB
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07. Implementing a Character-wise RNN-KPCMn_jg2oY.zh-CN.vtt	8.9 KB
07. Implementing a Character-wise RNN.html	5.8 KB
08. Batching Data Solution-o3nBxHJLQcc.en.vtt	4.4 KB
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08. Batching Data Solution.html	5.7 KB
09. LSTM Cell-ajC-5uWB8S4.en.vtt	6.2 KB
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09. LSTM Cell-ajC-5uWB8S4.pt-BR.vtt	6.4 KB
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09. LSTM Cell.html	5.6 KB
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10. LSTM Cell Solution-X4uA0dq_4jA.mp4	3.7 MB
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11. RNN Output-RkanDkcrTxs.en.vtt	5.9 KB
11. RNN Output-RkanDkcrTxs.mp4	9.4 MB
11. RNN Output-RkanDkcrTxs.pt-BR.vtt	5.8 KB
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11. RNN Output.html	5.6 KB
12. Network Loss-itu-uNK4brc.en.vtt	3.2 KB
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12. Network Loss-itu-uNK4brc.pt-BR.vtt	3.2 KB
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12. Network Loss.html	5.7 KB
13. Output And Loss Solutions-CT8hcU7FmGc.en.vtt	3.5 KB
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13. Output And Loss Solutions-CT8hcU7FmGc.pt-BR.vtt	3.3 KB
13. Output And Loss Solutions-CT8hcU7FmGc.zh-CN.vtt	3.1 KB
13. Output and Loss Solutions.html	5.7 KB
14. Build The Network-RVNjDlWTBQU.en.vtt	4.2 KB
14. Build The Network-RVNjDlWTBQU.mp4	7.4 MB
14. Build The Network-RVNjDlWTBQU.pt-BR.vtt	4.1 KB
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14. Build the Network.html	5.7 KB
15. Build The Network And Results-hu8iMMqajmQ.en.vtt	8.0 KB
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15. Build the Network Solution.html	5.8 KB
16. RNN Resources.html	5.9 KB
index.html	4.2 KB
/img/
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/Part 02-Module 04-Lesson 04_Hyperparameters/
01. Introducing Jay.html	5.3 KB
02. Introduction-erwnzFD7AeE.en.vtt	2.4 KB
02. Introduction-erwnzFD7AeE.mp4	2.3 MB
02. Introduction-erwnzFD7AeE.pt-BR.vtt	2.2 KB
02. Introduction-erwnzFD7AeE.zh-CN.vtt	2.1 KB
02. Introduction.html	5.1 KB
03. Learning Rate-HLMjeDez7ps.en.vtt	12.0 KB
03. Learning Rate-HLMjeDez7ps.mp4	10.1 MB
03. Learning Rate-HLMjeDez7ps.pt-BR.vtt	10.5 KB
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03. Learning Rate.html	5.7 KB
04. Learning Rate.html	7.2 KB
05. Minibatch Size-GrrO1NFxaW8.en.vtt	5.5 KB
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06. Number Of Iterations-TTdHpSb4DV8.en.vtt	1.7 KB
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06. Number of Training Iterations Epochs.html	7.9 KB
07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt	3.3 KB
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08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt	4.0 KB
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08. RNN Hyperparameters.html	11.5 KB
09. RNN Hyperparameters.html	6.3 KB
10. Sources & References.html	6.1 KB
index.html	3.7 KB
/img/
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/Part 02-Module 04-Lesson 05_Sentiment Prediction with RNN/
01. Intro.html	6.2 KB
02. Sentiment Prediction-uGN3rZJRiMY.en.vtt	8.9 KB
02. Sentiment Prediction-uGN3rZJRiMY.mp4	11.8 MB
02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt	7.5 KB
02. Sentiment Prediction-uGN3rZJRiMY.zh-CN.vtt	8.2 KB
02. Sentiment RNN.html	4.8 KB
03. Data Preprocessing-h4-LwZU9_k8.en.vtt	5.5 KB
03. Data Preprocessing-h4-LwZU9_k8.mp4	7.2 MB
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03. Data Preprocessing.html	4.8 KB
04. Creating Testing Sets-BRBbrNLz1ho.en.vtt	2.1 KB
04. Creating Testing Sets-BRBbrNLz1ho.mp4	2.2 MB
04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt	1.8 KB
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04. Creating Testing Sets.html	5.1 KB
05. Building The RNN 1-XTD6slf64fM.en.vtt	14.2 KB
05. Building The RNN 1-XTD6slf64fM.mp4	20.0 MB
05. Building The RNN 1-XTD6slf64fM.pt-BR.vtt	12.6 KB
05. Building The RNN 1-XTD6slf64fM.zh-CN.vtt	12.4 KB
05. Building the RNN.html	5.0 KB
06. Training The Network-nknJ3Xu3ld0.en.vtt	6.5 KB
06. Training The Network-nknJ3Xu3ld0.mp4	8.8 MB
06. Training The Network-nknJ3Xu3ld0.pt-BR.vtt	5.8 KB
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06. Training the Network.html	4.8 KB
07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt	18.1 KB
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07. Sentiment RNN 2-V9YGGjmoHS0.pt-BR.vtt	16.1 KB
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07. Solutions.html	4.7 KB
index.html	3.4 KB
/img/
mat-headshot.png	184.3 KB
/.../Lesson 01_Deep Neural Networks/
data.json	163.6 KB
/.../Lesson 01_Convolutional Neural Networks/
data.json	100.8 KB
/.../Lesson 01_Intro to TensorFlow/
data.json	118.2 KB
/.../Lesson 01_Recurrent Neural Networks/
data.json	44.8 KB
/.../Lesson 02_Long Short-Term Memory Networks (LSTM)/
data.json	22.4 KB
/.../Lesson 03_Implementing RNNs and LSTMs/
data.json	18.2 KB
/.../Lesson 04_Hyperparameters/
data.json	27.4 KB
/.../Lesson 05_Sentiment Prediction with RNN/
data.json	10.6 KB
/Part 03-Module 01-Lesson 01_Natural Language Processing/
01. NLP and Pipelines.html	4.5 KB
01. Natural Language Processing-UQBxJzoCp-I.en.vtt	1.2 KB
01. Natural Language Processing-UQBxJzoCp-I.mp4	3.6 MB
01. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt	1.1 KB
02. How NLP Pipelines Work.html	4.5 KB
02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt	1.8 KB
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03. Text Processing-pqheVyctkNQ.en.vtt	2.7 KB
03. Text Processing-pqheVyctkNQ.mp4	3.1 MB
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04. Feature Extraction-UgENzCmfFWE.en.vtt	3.9 KB
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05. Modeling-P4w_2rkxBvE.en.vtt	1.3 KB
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05. Modeling.html	4.4 KB
index.html	3.3 KB
/Part 03-Module 01-Lesson 02_Text Processing/
01. Text Processing-6LO6I5M18PQ.en.vtt	1.2 KB
01. Text Processing-6LO6I5M18PQ.mp4	1.9 MB
01. Text Processing-6LO6I5M18PQ.zh-CN.vtt	1.1 KB
01. Text Processing.html	5.2 KB
02. Coding Exercises.html	5.6 KB
03. Capturing Text Data-Z4mnMN1ApG4.en.vtt	1.8 KB
03. Capturing Text Data-Z4mnMN1ApG4.mp4	2.5 MB
03. Capturing Text Data-Z4mnMN1ApG4.zh-CN.vtt	1.6 KB
03. Capturing Text Data.html	5.9 KB
04. Quiz Read Text Files.html	7.4 KB
05. Cleaning-qawXp9DPV6I.en.vtt	8.5 KB
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08. Quiz Split Sentences.html	8.3 KB
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10. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt	1.7 KB
10. Part-of-Speech Tagging-WFEu8bXI5OA.mp4	2.3 MB
10. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt	1.5 KB
10. Part-of-Speech Tagging.html	5.8 KB
11. Named Entity Recognition-QUQu2nsE7vE.en.vtt	1.1 KB
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13. Summary-zKYEvRd2XmI.en.vtt	1.1 KB
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/.../Lesson 01_Natural Language Processing/
data.json	6.0 KB
/.../Lesson 02_Text Processing/
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/Part 04-Module 01-Lesson 01_Feature Extraction/
01. Feature Extraction-Bd6TJB8eVLQ.en.vtt	1.1 KB
01. Feature Extraction-Bd6TJB8eVLQ.mp4	2.4 MB
01. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt	1.0 KB
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02. Bag Of Words-A7M1z8yLl0w.en.vtt	4.8 KB
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03. TF-IDF-XZBiBIRcACE.en.vtt	2.4 KB
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04. One-Hot Encoding-a0j1CDXFYZI.en.vtt	1.4 KB
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05. Word Embeddings-4mM_S9L2_JQ.en.vtt	1.6 KB
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06. Word2Vec-7jjappzGRe0.en.vtt	3.5 KB
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06. Word2Vec.html	4.7 KB
07. GloVe-KK3PMIiIn8o.en.vtt	4.3 KB
07. GloVe-KK3PMIiIn8o.mp4	4.0 MB
07. GloVe-KK3PMIiIn8o.zh-CN.vtt	3.7 KB
07. GloVe.html	4.7 KB
08. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt	5.2 KB
08. Embeddings For Deep Learning-gj8u1KG0H2w.mp4	4.9 MB
08. Embeddings For Deep Learning-gj8u1KG0H2w.zh-CN.vtt	4.8 KB
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09. T-SNE-xxcK8oZ6_WE.en.vtt	2.2 KB
09. T-SNE-xxcK8oZ6_WE.mp4	5.8 MB
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index.html	3.5 KB
/.../Lesson 01_Feature Extraction/
data.json	9.6 KB
/Part 05-Module 01-Lesson 01_Modeling/
01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.en.vtt	1.2 KB
01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.mp4	3.0 MB
01. AIND NLP L2 HS 04 Modeling V2-RGrGi-eKhOQ.zh-CN.vtt	1.1 KB
01. Modeling.html	4.7 KB
02. Language Model.html	177.5 KB
03. Sentiment Analysis.html	8.4 KB
04. Topic Modeling.html	17.7 KB
05. Search and Ranking.html	6.3 KB
06. Machine Translation.html	20.1 KB
07. NLP Resources.html	5.6 KB
08. NLP Summary-B9ul8fsQYOA.en.vtt	0.7 KB
08. NLP Summary-B9ul8fsQYOA.mp4	1.5 MB
08. NLP Summary-B9ul8fsQYOA.zh-CN.vtt	0.6 KB
08. Summary.html	4.7 KB
index.html	3.5 KB
/img/
2d-simplex.svg	9.0 KB
nlp-m1-l4-language-model.002.png	104.6 KB
nlp-m1-l4-language-model.005.png	122.5 KB
nlp-m1-l4-language-model.006.png	152.0 KB
nlp-m1-l4-language-model.007.png	118.1 KB
nlp-m1-l4-machine-translation.002.png	178.3 KB
nlp-m1-l4-machine-translation.003.png	108.0 KB
nlp-m1-l4-machine-translation.004.png	127.3 KB
nlp-m1-l4-machine-translation.005.png	123.7 KB
nlp-m1-l4-machine-translation.006.png	64.0 KB
nlp-m1-l4-machine-translation.007.png	139.6 KB
nlp-m1-l4-machine-translation.008.png	146.0 KB
nlp-m1-l4-machine-translation.009.png	77.9 KB
nlp-m1-l4-search-and-ranking.002.png	219.2 KB
nlp-m1-l4-search-and-ranking.003.png	101.9 KB
nlp-m1-l4-sentiment-analysis.002.png	95.6 KB
nlp-m1-l4-sentiment-analysis.003.png	60.8 KB
nlp-m1-l4-sentiment-analysis.004-cropped.png	71.6 KB
nlp-m1-l4-topic-modeling.002.png	111.1 KB
nlp-m1-l4-topic-modeling.003.png	224.1 KB
nlp-m1-l4-topic-modeling.004.png	212.4 KB
nlp-m1-l4-topic-modeling.005.png	156.9 KB
nlp-m1-l4-topic-modeling.006.png	153.0 KB
nlp-m1-l4-topic-modeling.008.png	140.8 KB
/Part 05-Module 02-Lesson 01_Machine Translation/
01. Overview.html	5.2 KB
02. Introduction to GPU Workspaces.html	15.3 KB
03. NLP Machine Translation Workspace.html	5.1 KB
Project Description - Machine Translation.html	8.2 KB
Project Rubric - Machine Translation.html	8.4 KB
index.html	3.4 KB
/img/
jupyter-logo.png	5.9 KB
workspaces-gpu.png	149.0 KB
workspaces-jupyter.png	85.5 KB
workspaces-menu.png	96.2 KB
workspaces-new.png	87.3 KB
workspaces-notebook.png	146.3 KB
workspaces-submit.png	149.7 KB
workspaces-terminal.png	48.0 KB
/.../Lesson 01_Modeling/
data.json	220.3 KB
/.../Lesson 01_Machine Translation/
data.json	23.9 KB
rubric.json	7.8 KB
/Part 06-Module 01-Lesson 01_Embeddings and Word2Vec/
01. Additional NLP Lessons.html	5.3 KB
02. Embeddings Intro.html	6.6 KB
03. Implementing Word2Vec-7M431_f9HgE.en.vtt	17.3 KB
03. Implementing Word2Vec-7M431_f9HgE.mp4	24.5 MB
03. Implementing Word2Vec-7M431_f9HgE.pt-BR.vtt	17.6 KB
03. Implementing Word2Vec-7M431_f9HgE.zh-CN.vtt	14.6 KB
03. Implementing Word2Vec.html	5.2 KB
04. Subsampling Solution-MAUM_mV_lj8.en.vtt	6.1 KB
04. Subsampling Solution-MAUM_mV_lj8.mp4	10.1 MB
04. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt	6.4 KB
04. Subsampling Solution-MAUM_mV_lj8.zh-CN.vtt	5.2 KB
04. Subsampling Solution.html	5.1 KB
05. Making Batches-jx7qwdw-94k.en.vtt	4.6 KB
05. Making Batches-jx7qwdw-94k.mp4	8.1 MB
05. Making Batches-jx7qwdw-94k.pt-BR.vtt	4.6 KB
05. Making Batches-jx7qwdw-94k.zh-CN.vtt	3.9 KB
05. Making Batches.html	5.1 KB
06. Batches Solution-DdfR0RjSC-Q.en.vtt	2.7 KB
06. Batches Solution-DdfR0RjSC-Q.mp4	4.1 MB
06. Batches Solution-DdfR0RjSC-Q.pt-BR.vtt	2.6 KB
06. Batches Solution-DdfR0RjSC-Q.zh-CN.vtt	2.5 KB
06. Batches Solution.html	5.1 KB
07. Building The Network-fhSb5c6UX6M.en.vtt	5.3 KB
07. Building The Network-fhSb5c6UX6M.mp4	8.5 MB
07. Building The Network-fhSb5c6UX6M.pt-BR.vtt	5.1 KB
07. Building The Network-fhSb5c6UX6M.zh-CN.vtt	4.2 KB
07. Building the Network.html	5.1 KB
08. Negative Sampling-gW17AHBKbHY.en.vtt	2.6 KB
08. Negative Sampling-gW17AHBKbHY.mp4	4.4 MB
08. Negative Sampling-gW17AHBKbHY.pt-BR.vtt	2.4 KB
08. Negative Sampling-gW17AHBKbHY.zh-CN.vtt	2.2 KB
08. Negative Sampling.html	5.1 KB
09. Building The Network Solution-pkBAhQ2Ki-8.en.vtt	4.2 KB
09. Building The Network Solution-pkBAhQ2Ki-8.mp4	7.7 MB
09. Building The Network Solution-pkBAhQ2Ki-8.pt-BR.vtt	4.1 KB
09. Building The Network Solution-pkBAhQ2Ki-8.zh-CN.vtt	3.4 KB
09. Building the Network Solution.html	5.2 KB
10. Training Results-uISA5ns47s8.en.vtt	4.5 KB
10. Training Results-uISA5ns47s8.mp4	10.3 MB
10. Training Results-uISA5ns47s8.pt-BR.vtt	4.5 KB
10. Training Results-uISA5ns47s8.zh-CN.vtt	3.9 KB
10. Training Results.html	5.1 KB
index.html	3.7 KB
/img/
arpan-c-circle.png	316.5 KB
linear-relationships.png	115.0 KB
mat-headshot.png	184.3 KB
/Part 06-Module 01-Lesson 02_Sequence to Sequence/
01. Introducing Jay Alammar.html	5.9 KB
02. Jay Introduction.html	5.1 KB
02. Jay's Introduction-HPOzAlXhuxQ.en.vtt	5.9 KB
02. Jay's Introduction-HPOzAlXhuxQ.mp4	6.1 MB
02. Jay's Introduction-HPOzAlXhuxQ.pt-BR.vtt	5.7 KB
02. Jay's Introduction-HPOzAlXhuxQ.zh-CN.vtt	5.3 KB
03. Applications seq2seq-tDJBDwriJYQ.en.vtt	2.7 KB
03. Applications seq2seq-tDJBDwriJYQ.mp4	2.6 MB
03. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt	2.6 KB
03. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt	2.5 KB
03. Applications.html	5.1 KB
04. Architecture encoder decoder-dkHdEAJnV_w.en.vtt	5.6 KB
04. Architecture encoder decoder-dkHdEAJnV_w.mp4	4.7 MB
04. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt	5.0 KB
04. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt	4.9 KB
04. Architectures.html	5.2 KB
05. Architecture in More Depth-rdAo4MqLbEk.en.vtt	5.3 KB
05. Architecture in More Depth-rdAo4MqLbEk.mp4	5.6 MB
05. Architecture in More Depth-rdAo4MqLbEk.pt-BR.vtt	5.1 KB
05. Architecture in More Depth-rdAo4MqLbEk.zh-CN.vtt	4.7 KB
05. Architectures in More Depth.html	5.2 KB
06. Preprocessing-ktQW6p9pOS4.en.vtt	7.4 KB
06. Preprocessing-ktQW6p9pOS4.mp4	9.3 MB
06. Preprocessing-ktQW6p9pOS4.pt-BR.vtt	7.0 KB
06. Preprocessing-ktQW6p9pOS4.zh-CN.vtt	6.6 KB
06. Preprocessing.html	5.7 KB
07. Sequence to sequence in TensorFlow.html	8.1 KB
08. Inputs.html	15.6 KB
09. Further Reading.html	5.6 KB
10. Sequence to Sequence in TensorFlow.html	5.3 KB
index.html	3.7 KB
/img/
arpan-c-circle.png	316.5 KB
sequence-to-sequence-embedding-encoder-decoder.png	22.5 KB
sequence-to-sequence-high-level-encoder-decoder.png	11.8 KB
sequence-to-sequence-unrolled-encoder-decoder.png	23.0 KB
/.../Lesson 01_Embeddings and Word2Vec/
data.json	14.3 KB
/.../Lesson 02_Sequence to Sequence/
data.json	27.2 KB
/assets/css/
bootstrap.min.css	140.9 KB
jquery.mCustomScrollbar.min.css	42.8 KB
katex.min.css	22.1 KB
plyr.css	24.2 KB
styles.css	3.9 KB
/assets/css/fonts/
KaTeX_AMS-Regular.ttf	71.4 KB
KaTeX_AMS-Regular.woff	40.2 KB
KaTeX_AMS-Regular.woff2	33.2 KB
KaTeX_Caligraphic-Bold.ttf	19.6 KB
KaTeX_Caligraphic-Bold.woff	12.1 KB
KaTeX_Caligraphic-Bold.woff2	10.6 KB
KaTeX_Caligraphic-Regular.ttf	19.0 KB
KaTeX_Caligraphic-Regular.woff	11.9 KB
KaTeX_Caligraphic-Regular.woff2	10.4 KB
KaTeX_Fraktur-Bold.ttf	36.0 KB
KaTeX_Fraktur-Bold.woff	23.4 KB
KaTeX_Fraktur-Bold.woff2	20.5 KB
KaTeX_Fraktur-Regular.ttf	34.7 KB
KaTeX_Fraktur-Regular.woff	22.8 KB
KaTeX_Fraktur-Regular.woff2	19.9 KB
KaTeX_Main-Bold.ttf	61.7 KB
KaTeX_Main-Bold.woff	36.8 KB
KaTeX_Main-Bold.woff2	30.6 KB
KaTeX_Main-BoldItalic.ttf	44.8 KB
KaTeX_Main-BoldItalic.woff	26.2 KB
KaTeX_Main-BoldItalic.woff2	22.2 KB
KaTeX_Main-Italic.ttf	48.0 KB
KaTeX_Main-Italic.woff	27.2 KB
KaTeX_Main-Italic.woff2	23.1 KB
KaTeX_Main-Regular.ttf	70.1 KB
KaTeX_Main-Regular.woff	39.4 KB
KaTeX_Main-Regular.woff2	32.9 KB
KaTeX_Math-BoldItalic.ttf	39.7 KB
KaTeX_Math-BoldItalic.woff	23.2 KB
KaTeX_Math-BoldItalic.woff2	20.0 KB
KaTeX_Math-Italic.ttf	41.4 KB
KaTeX_Math-Italic.woff	23.8 KB
KaTeX_Math-Italic.woff2	20.4 KB
KaTeX_SansSerif-Bold.ttf	34.0 KB
KaTeX_SansSerif-Bold.woff	19.2 KB
KaTeX_SansSerif-Bold.woff2	16.0 KB
KaTeX_SansSerif-Italic.ttf	31.3 KB
KaTeX_SansSerif-Italic.woff	18.1 KB
KaTeX_SansSerif-Italic.woff2	15.2 KB
KaTeX_SansSerif-Regular.ttf	30.2 KB
KaTeX_SansSerif-Regular.woff	16.8 KB
KaTeX_SansSerif-Regular.woff2	14.0 KB
KaTeX_Script-Regular.ttf	24.9 KB
KaTeX_Script-Regular.woff	13.9 KB
KaTeX_Script-Regular.woff2	12.3 KB
KaTeX_Size1-Regular.ttf	13.2 KB
KaTeX_Size1-Regular.woff	7.0 KB
KaTeX_Size1-Regular.woff2	5.8 KB
KaTeX_Size2-Regular.ttf	12.4 KB
KaTeX_Size2-Regular.woff	6.7 KB
KaTeX_Size2-Regular.woff2	5.6 KB
KaTeX_Size3-Regular.ttf	8.4 KB
KaTeX_Size3-Regular.woff	4.8 KB
KaTeX_Size3-Regular.woff2	3.9 KB
KaTeX_Size4-Regular.ttf	11.3 KB
KaTeX_Size4-Regular.woff	6.5 KB
KaTeX_Size4-Regular.woff2	5.2 KB
KaTeX_Typewriter-Regular.ttf	36.3 KB
KaTeX_Typewriter-Regular.woff	20.9 KB
KaTeX_Typewriter-Regular.woff2	17.5 KB
/assets/img/
udacimak.png	472.1 KB
/assets/js/
bootstrap.min.js	51.0 KB
jquery-3.3.1.min.js	86.9 KB
jquery.mCustomScrollbar.concat.min.js	45.5 KB
katex.min.js	236.8 KB
plyr.polyfilled.min.js	129.2 KB
Total files 1197