Udacity Computer Vision Nanodegree nd891 v1 | 21C6B62F1D1A9E9CCF6A221D6E79CC37D3BA0E53

Udacity Computer Vision Nanodegree nd891 v1

Name	Udacity - Computer Vision Nanodegree nd891 v1.0.0	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	2.9 GB
Total Files	2431
Hash	21C6B62F1D1A9E9CCF6A221D6E79CC37D3BA0E53

/Part 03-Module 01-Lesson 02_Robot Localization/
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.zh-CN.vtt	0.2 KB
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.en.vtt	0.2 KB
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.pt.vtt	0.2 KB
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.pt-PT.vtt	0.2 KB
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.ja.vtt	0.2 KB
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.it.vtt	0.2 KB
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.es-MX.vtt	0.2 KB
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.es-ES.vtt	0.2 KB
26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.zh-CN.vtt	0.3 KB
26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.pt.vtt	0.3 KB
26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.pt-PT.vtt	0.3 KB
30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.zh-CN.vtt	0.3 KB
26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.ja.vtt	0.3 KB
26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.en.vtt	0.3 KB
30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.pt.vtt	0.3 KB
30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.pt-PT.vtt	0.3 KB
30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.en.vtt	0.3 KB
30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.it.vtt	0.3 KB
30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.ja.vtt	0.3 KB
30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.zh-CN.vtt	0.3 KB
30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.es-ES.vtt	0.3 KB
36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.en.vtt	0.3 KB
26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.it.vtt	0.3 KB
30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.en.vtt	0.3 KB
36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.pt.vtt	0.3 KB
30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.ja.vtt	0.3 KB
36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.pt-PT.vtt	0.3 KB
36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.zh-CN.vtt	0.3 KB
30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.it.vtt	0.3 KB
36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.es-ES.vtt	0.3 KB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.en.vtt	0.3 KB
30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.pt.vtt	0.3 KB
30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.pt-PT.vtt	0.4 KB
26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.es-ES.vtt	0.4 KB
36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.it.vtt	0.4 KB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.ja.vtt	0.4 KB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es.vtt	0.4 KB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.it.vtt	0.4 KB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es-ES.vtt	0.4 KB
36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.ja.vtt	0.4 KB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.zh-CN.vtt	0.4 KB
30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.es-ES.vtt	0.4 KB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt.vtt	0.4 KB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt-PT.vtt	0.4 KB
10. 11 Normalize Distribution V1-ZGvmFn_u56o.zh-CN.vtt	0.4 KB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.zh-CN.vtt	0.5 KB
10. 11 Normalize Distribution V1-ZGvmFn_u56o.en.vtt	0.5 KB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.ja.vtt	0.5 KB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.it.vtt	0.5 KB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt.vtt	0.5 KB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.en.vtt	0.5 KB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt-PT.vtt	0.5 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.bn.vtt	0.5 KB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.es.vtt	0.6 KB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.es-ES.vtt	0.6 KB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.ja.vtt	0.6 KB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.zh-CN.vtt	0.6 KB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt.vtt	0.6 KB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt-PT.vtt	0.6 KB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.en.vtt	0.7 KB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.pt.vtt	0.7 KB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.pt-PT.vtt	0.7 KB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.es.vtt	0.7 KB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.es-ES.vtt	0.7 KB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.ja.vtt	0.7 KB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.it.vtt	0.7 KB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.zh-CN.vtt	0.8 KB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.it.vtt	0.8 KB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.en.vtt	0.8 KB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.es.vtt	0.8 KB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.es-ES.vtt	0.8 KB
28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.zh-CN.vtt	0.9 KB
28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.en.vtt	0.9 KB
04. 概率分布入门 1-gqPjMDVFvNg.zh-CN.vtt	0.9 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.zh-CN.vtt	0.9 KB
28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.ja.vtt	1.0 KB
21. 18 Exact Motion V1-mNXm1wjTumY.zh-CN.vtt	1.0 KB
28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.pt.vtt	1.0 KB
28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.pt-PT.vtt	1.0 KB
28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.es-ES.vtt	1.0 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.ja.vtt	1.0 KB
28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.it.vtt	1.0 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.it.vtt	1.0 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.pt.vtt	1.0 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.pt-PT.vtt	1.0 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.en.vtt	1.0 KB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.zh-CN.vtt	1.0 KB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.en.vtt	1.1 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.es.vtt	1.1 KB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.es-ES.vtt	1.1 KB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.ja.vtt	1.1 KB
04. 概率分布入门 1-gqPjMDVFvNg.en.vtt	1.1 KB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.it.vtt	1.1 KB
21. 18 Exact Motion V1-mNXm1wjTumY.en.vtt	1.1 KB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.es.vtt	1.1 KB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.es-ES.vtt	1.1 KB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.pt.vtt	1.1 KB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.pt-PT.vtt	1.1 KB
17. 16 Test Sense Function V1-gytbuOI9-3g.zh-CN.vtt	1.2 KB
29. 24 Limit Distribution Quiz V3-NJvalJwjz18.zh-CN.vtt	1.2 KB
02. Reduzindo a incerteza-zuFMhmKQ--o.zh-CN.vtt	1.3 KB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.ja.vtt	1.3 KB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.zh-CN.vtt	1.3 KB
17. 16 Test Sense Function V1-gytbuOI9-3g.en.vtt	1.4 KB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.it.vtt	1.4 KB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.en.vtt	1.4 KB
03. Usando dados do sensor-vhl-SADfti8.zh-CN.vtt	1.4 KB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.pt.vtt	1.4 KB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.pt-PT.vtt	1.4 KB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.zh-CN.vtt	1.5 KB
35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.zh-CN.vtt	1.5 KB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.es.vtt	1.5 KB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.es-ES.vtt	1.5 KB
02. Reduzindo a incerteza-zuFMhmKQ--o.en.vtt	1.5 KB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.en.vtt	1.5 KB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.it.vtt	1.5 KB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.ja.vtt	1.5 KB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.pt.vtt	1.5 KB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.pt-PT.vtt	1.5 KB
02. Reduzindo a incerteza-zuFMhmKQ--o.pt-BR.vtt	1.5 KB
29. 24 Limit Distribution Quiz V3-NJvalJwjz18.en.vtt	1.6 KB
35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.en.vtt	1.6 KB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.es.vtt	1.6 KB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.es-ES.vtt	1.6 KB
35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.ja.vtt	1.6 KB
35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.pt.vtt	1.6 KB
35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.it.vtt	1.6 KB
35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.pt-PT.vtt	1.6 KB
03. Usando dados do sensor-vhl-SADfti8.en.vtt	1.6 KB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.ja.vtt	1.6 KB
35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.es-ES.vtt	1.7 KB
36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.zh-CN.vtt	1.7 KB
38. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt	1.7 KB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.zh-CN.vtt	1.8 KB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.es.vtt	1.8 KB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.es-ES.vtt	1.8 KB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.en.vtt	1.8 KB
05. 03 Localization V1-OB6GZxfvESw.zh-CN.vtt	1.8 KB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.pt.vtt	1.8 KB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.it.vtt	1.8 KB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.pt-PT.vtt	1.8 KB
08. 09 Probability After Sense V1-aWQMJQQmNGw.zh-CN.vtt	1.9 KB
03. Usando dados do sensor-vhl-SADfti8.pt-BR.vtt	1.9 KB
25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.zh-CN.vtt	1.9 KB
02. Reduzindo a incerteza-zuFMhmKQ--o.ar.vtt	1.9 KB
36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.en.vtt	1.9 KB
38. Lesson Overview C++-lR3PH3bL-9U.en.vtt	2.0 KB
05. 03 Localization V1-OB6GZxfvESw.en.vtt	2.0 KB
08. 09 Probability After Sense V1-aWQMJQQmNGw.en.vtt	2.1 KB
03. Usando dados do sensor-vhl-SADfti8.ar.vtt	2.2 KB
25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.en.vtt	2.3 KB
04. 概率分布入门 2-PglBg4eb_5M.zh-CN.vtt	2.4 KB
33. 27 Sense And Move V2-v2dYzm6-YVs.zh-CN.vtt	2.4 KB
04. 概率分布入门 2-PglBg4eb_5M.en.vtt	2.8 KB
33. 27 Sense And Move V2-v2dYzm6-YVs.en.vtt	2.9 KB
06. 05 Total Probability V4-RCEieE2t8U4.zh-CN.vtt	5.4 KB
06. 05 Total Probability V4-RCEieE2t8U4.en.vtt	6.5 KB
index.html	6.7 KB
33. Sense and Move.html	8.7 KB
03. Reducing Uncertainty.html	9.0 KB
05. Localization.html	9.1 KB
23. Notebook Move Function.html	9.3 KB
32. Notebook Multiple Moves.html	9.3 KB
12. Notebook Sense Function.html	9.3 KB
07. Notebook 1D Robot World.html	9.3 KB
34. Notebook Sense and Move Cycle.html	9.3 KB
19. Notebook Multiple Measurements.html	9.3 KB
27. Notebook Inexact Move Function.html	9.3 KB
09. Notebook Probability After Sense.html	9.3 KB
15. Notebook Normalized Sense Function.html	9.3 KB
06. Total Probability.html	9.6 KB
26. Inexact Move Function.html	9.7 KB
35. Answer Sense and Move.html	9.7 KB
31. Move 1000.html	9.7 KB
22. Move Function.html	9.8 KB
28. Answer Inexact Move Function.html	9.8 KB
18. Multiple Measurements.html	9.9 KB
24. Answer Move Function.html	9.9 KB
14. Normalized Sense Function.html	9.9 KB
21. Exact Motion .html	9.9 KB
11. Sense Function.html	10.0 KB
16. Answer Normalized Sense Function.html	10.0 KB
13. Answer Sense Function.html	10.1 KB
25. Inexact Motion.html	10.1 KB
37. Localization Summary.html	10.3 KB
10. Normalize Distribution.html	10.3 KB
36. Sense and Move 2.html	10.3 KB
20. Answer Multiple Measurements.html	10.3 KB
17. Test Sense Function.html	10.4 KB
29. Limit Distribution.html	10.4 KB
38. C++ Elective Implementation.html	10.6 KB
30. Move Twice.html	11.0 KB
08. Probability After Sense.html	12.5 KB
02. Uncertainty and Bayes' Rule.html	13.4 KB
04. Probability Distributions.html	13.7 KB
01. Probability Review.html	16.1 KB
10. 11 Normalize Distribution V1-ZGvmFn_u56o.mp4	535.3 KB
21. 18 Exact Motion V1-mNXm1wjTumY.mp4	725.6 KB
31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.mp4	944.3 KB
29. 24 Limit Distribution Quiz V3-NJvalJwjz18.mp4	1.2 MB
17. 16 Test Sense Function V1-gytbuOI9-3g.mp4	1.6 MB
36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.mp4	2.0 MB
25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.mp4	2.1 MB
30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.mp4	2.1 MB
26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.mp4	2.2 MB
08. 09 Probability After Sense V1-aWQMJQQmNGw.mp4	2.3 MB
14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.mp4	2.5 MB
30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.mp4	2.5 MB
05. 03 Localization V1-OB6GZxfvESw.mp4	2.6 MB
04. 概率分布入门 1-gqPjMDVFvNg.mp4	2.7 MB
33. 27 Sense And Move V2-v2dYzm6-YVs.mp4	3.4 MB
17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.mp4	3.6 MB
18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.mp4	4.3 MB
16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.mp4	4.5 MB
36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.mp4	4.5 MB
02. Reduzindo a incerteza-zuFMhmKQ--o.mp4	4.6 MB
03. Usando dados do sensor-vhl-SADfti8.mp4	5.5 MB
06. 05 Total Probability V4-RCEieE2t8U4.mp4	5.7 MB
20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.mp4	6.5 MB
04. 概率分布入门 2-PglBg4eb_5M.mp4	7.2 MB
13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.mp4	7.8 MB
38. Lesson Overview C++-lR3PH3bL-9U.mp4	7.8 MB
28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.mp4	7.8 MB
22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.mp4	9.1 MB
35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.mp4	10.2 MB
24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.mp4	11.5 MB
11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4	13.5 MB
/Part 03-Module 01-Lesson 06_Matrices and Transformation of State/
03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.zh-CN.vtt	0.3 KB
03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.en.vtt	0.3 KB
03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.zh-CN.vtt	0.4 KB
03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.en.vtt	0.4 KB
02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.zh-CN.vtt	0.6 KB
02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.en.vtt	0.7 KB
31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.zh-CN.vtt	1.4 KB
31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.en.vtt	1.5 KB
02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.zh-CN.vtt	1.8 KB
02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.en.vtt	2.1 KB
08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.zh-CN.vtt	2.4 KB
08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.en.vtt	2.7 KB
01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.zh-CN.vtt	2.9 KB
06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.zh-CN.vtt	3.2 KB
01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.en.vtt	3.5 KB
09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.zh-CN.vtt	3.8 KB
06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.en.vtt	3.9 KB
09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.en.vtt	4.2 KB
04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.zh-CN.vtt	4.9 KB
04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.en.vtt	5.8 KB
index.html	6.2 KB
01. Kalman Filter Land.html	8.1 KB
08. The Kalman Filter Equations.html	8.1 KB
04. More Kalman FIlters.html	8.3 KB
31. What to Take Away from this Lesson.html	8.4 KB
06. Kalman Filter Design.html	8.5 KB
15. Coding Vectors.html	8.5 KB
19. Coding Matrices.html	8.5 KB
26. Coding the Transpose.html	8.6 KB
30. Coding Matrix Inverse.html	8.6 KB
28. Coding Identity Matrix.html	8.6 KB
22. Coding Matrix Addition.html	8.6 KB
16. Coding Vectors (solution).html	8.6 KB
20. Coding Matrices (Solution).html	8.6 KB
24. Coding Matrix Multiplication.html	8.6 KB
17. Guide to Mathematical Notation.html	8.6 KB
10. The Rest of the Lesson.html	8.7 KB
03. Another Prediction.html	8.7 KB
02. Kalman Filter Prediction.html	8.8 KB
07. Let's Look at Where We Are.html	9.0 KB
09. Simplifying the Kalman Filter Equations.html	9.6 KB
05. A Note on Notation.html	9.6 KB
13. What is a vector.html	9.8 KB
12. Kalman Equation Reference.html	10.0 KB
27. The Identity Matrix.html	12.5 KB
14. Vectors in Python.html	13.5 KB
21. Matrix Addition.html	14.0 KB
29. Matrix Inverse.html	14.0 KB
25. Transpose of a Matrix.html	14.6 KB
23. Matrix Multiplication.html	16.3 KB
18. Matrices in Python.html	19.0 KB
11. Representing State with Matrices.html	21.0 KB
03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.mp4	274.1 KB
03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.mp4	280.2 KB
02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.mp4	538.7 KB
02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.mp4	1.7 MB
01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.mp4	3.4 MB
06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.mp4	3.7 MB
31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4	3.9 MB
09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4	4.0 MB
04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.mp4	4.8 MB
08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4	7.9 MB
/Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/
22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.zh-CN.vtt	0.3 KB
22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.en.vtt	0.3 KB
22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.es-ES.vtt	0.3 KB
09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.ja.vtt	0.3 KB
22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja.vtt	0.3 KB
09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.zh-CN.vtt	0.3 KB
09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt	0.4 KB
09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.es-ES.vtt	0.4 KB
15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.zh-CN.vtt	0.5 KB
11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.zh-CN.vtt	0.5 KB
11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt	0.6 KB
15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.en.vtt	0.7 KB
13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.zh-CN.vtt	0.7 KB
20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja.vtt	0.7 KB
20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.zh-CN.vtt	0.7 KB
20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.en.vtt	0.8 KB
09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.zh-CN.vtt	0.8 KB
13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.en.vtt	0.8 KB
20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.es-ES.vtt	0.8 KB
09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.en.vtt	0.8 KB
12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.zh-CN.vtt	0.9 KB
09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.es-ES.vtt	0.9 KB
17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.zh-CN.vtt	0.9 KB
09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.ja.vtt	0.9 KB
12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.en.vtt	1.0 KB
17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.en.vtt	1.0 KB
17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.es-ES.vtt	1.0 KB
01. 矩阵介绍-Ugx3mldc0lE.zh-CN.vtt	1.0 KB
01. 矩阵介绍-Ugx3mldc0lE.en.vtt	1.1 KB
17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ja.vtt	1.1 KB
10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.zh-CN.vtt	1.4 KB
17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ru.vtt	1.5 KB
10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.en.vtt	1.7 KB
02. Introduction-XZL934YQ-FQ.zh-CN.vtt	1.8 KB
23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.zh-CN.vtt	1.9 KB
02. Introduction-XZL934YQ-FQ.en.vtt	1.9 KB
02. Introduction-XZL934YQ-FQ.pt.vtt	2.0 KB
23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja.vtt	2.0 KB
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02. Introduction-XZL934YQ-FQ.es.vtt	2.1 KB
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23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.en.vtt	2.1 KB
02. Introduction-XZL934YQ-FQ.ja.vtt	2.2 KB
14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.zh-CN.vtt	2.2 KB
23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.es-ES.vtt	2.2 KB
14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.en.vtt	2.5 KB
05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.zh-CN.vtt	2.6 KB
26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.zh-CN.vtt	2.8 KB
03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.zh-CN.vtt	2.9 KB
18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.zh-CN.vtt	3.1 KB
05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.en.vtt	3.2 KB
26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.en.vtt	3.3 KB
23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ru.vtt	3.3 KB
02. Introduction-XZL934YQ-FQ.ru.vtt	3.4 KB
03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.en.vtt	3.4 KB
18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.en.vtt	3.7 KB
25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja.vtt	5.0 KB
25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.zh-CN.vtt	5.4 KB
25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.en.vtt	5.9 KB
index.html	5.9 KB
25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.es-ES.vtt	6.3 KB
26. Kalman Prediction.html	7.7 KB
11. Answer Shifting the Mean.html	7.8 KB
13. Answer Predicting the Peak.html	7.8 KB
19. Answer Gaussian Motion.html	7.8 KB
15. Answer Parameter Update.html	7.9 KB
20. Predict Function.html	8.1 KB
22. Answer Predict Function.html	8.2 KB
25. Answer 1D Kalman Filter.html	8.2 KB
24. Notebook 1D Kalman Filter.html	8.2 KB
21. Notebook Predict Function.html	8.2 KB
16. Notebook New Mean and Variance.html	8.2 KB
27. Next Motion Models and State.html	8.2 KB
06. Answer Gaussian Intro.html	8.2 KB
23. Kalman Filter Code.html	8.3 KB
02. Introduction.html	8.3 KB
17. Solution New Mean and Variance.html	8.4 KB
04. Answer Tracking Intro.html	8.4 KB
08. Answer Variance and Preferred Gaussian.html	8.5 KB
01. Kalman Filters and Linear Algebra.html	8.8 KB
03. Tracking Intro.html	9.1 KB
12. Quiz Predicting the Peak.html	9.2 KB
10. Quiz Shifting the Mean.html	9.2 KB
05. Gaussian Intro.html	9.4 KB
14. Quiz Parameter Update.html	9.5 KB
18. Quiz Gaussian Motion.html	9.5 KB
09. Gaussian Function and Maximum.html	9.5 KB
07. Quiz Variance and Preferred Gaussian.html	10.5 KB
11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.mp4	462.1 KB
15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.mp4	588.4 KB
13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.mp4	693.7 KB
12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.mp4	786.5 KB
20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4	1.3 MB
22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4	1.4 MB
09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4	1.6 MB
10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.mp4	1.9 MB
14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.mp4	2.2 MB
26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4	2.7 MB
05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.mp4	2.8 MB
18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4	3.2 MB
01. 矩阵介绍-Ugx3mldc0lE.mp4	4.4 MB
03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.mp4	5.0 MB
17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4	6.6 MB
09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4	8.7 MB
02. Introduction-XZL934YQ-FQ.mp4	11.2 MB
23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4	13.9 MB
25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4	35.4 MB
/Part 09-Module 01-Lesson 05_Python and C++ Speed/
01. Introduction-JklGKdn3_go.en.vtt	0.4 KB
01. Introduction-JklGKdn3_go.zh-CN.vtt	0.4 KB
index.html	3.9 KB
01. Introduction.html	5.0 KB
02. Executing the Move Function.html	5.8 KB
05. Comparing Speeds.html	7.0 KB
03. Moving in Python.html	8.9 KB
04. Moving in C++.html	12.4 KB
01. Introduction-JklGKdn3_go.mp4	1.3 MB
/Part 05-Module 01-Lesson 02_Training Neural Networks/
10. Random Restart-idyBBCzXiqg.zh-CN.vtt	0.4 KB
10. Random Restart-idyBBCzXiqg.en.vtt	0.5 KB
10. Random Restart-idyBBCzXiqg.pt-BR.vtt	0.5 KB
02. Training Optimization-UiGKhx9pUYc.en.vtt	0.8 KB
02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt	0.8 KB
02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt	0.9 KB
14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt	1.0 KB
09. Local Minima-gF_sW_nY-xw.zh-CN.vtt	1.0 KB
06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt	1.0 KB
09. Local Minima-gF_sW_nY-xw.pt-BR.vtt	1.1 KB
16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt	1.1 KB
16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt	1.1 KB
14. Learning Rate-TwJ8aSZoh2U.en.vtt	1.1 KB
09. Local Minima-gF_sW_nY-xw.en.vtt	1.2 KB
06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt	1.2 KB
06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt	1.2 KB
16. Error Functions Around the World-34AAcTECu2A.en.vtt	1.2 KB
11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt	1.3 KB
14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt	1.3 KB
11. Vanishing Gradient-W_JJm_5syFw.en.vtt	1.5 KB
11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt	1.6 KB
03. Testing-EeBZpb-PSac.zh-CN.vtt	2.0 KB
15. Momentum-r-rYz_PEWC8.zh-CN.vtt	2.3 KB
12. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt	2.4 KB
03. Testing-EeBZpb-PSac.pt-BR.vtt	2.4 KB
03. Testing-EeBZpb-PSac.en.vtt	2.5 KB
15. Momentum-r-rYz_PEWC8.en.vtt	2.6 KB
12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt	2.6 KB
12. Other Activation Functions-kA-1vUt6cvQ.en.vtt	2.7 KB
15. Momentum-r-rYz_PEWC8.pt-BR.vtt	2.8 KB
08. Dropout-Ty6K6YiGdBs.zh-CN.vtt	4.2 KB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt	4.2 KB
index.html	4.7 KB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt	4.7 KB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt	4.8 KB
05. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt	4.8 KB
08. Dropout-Ty6K6YiGdBs.pt-BR.vtt	4.8 KB
08. Dropout-Ty6K6YiGdBs.en.vtt	4.8 KB
05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt	5.4 KB
05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt	5.7 KB
03. Testing.html	6.2 KB
08. Dropout.html	6.2 KB
15. Momentum.html	6.2 KB
09. Local Minima.html	6.3 KB
10. Random Restart.html	6.3 KB
07. Regularization 2.html	6.3 KB
14. Learning Rate Decay.html	6.3 KB
11. Vanishing Gradient.html	6.3 KB
01. Instructor.html	6.3 KB
05. Early Stopping.html	6.3 KB
02. Training Optimization.html	6.3 KB
04. Overfitting and Underfitting.html	6.4 KB
16. Error Functions Around the World.html	6.4 KB
13. Batch vs Stochastic Gradient Descent.html	6.4 KB
12. Other Activation Functions.html	6.7 KB
04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt	6.7 KB
07. Regularization-ndYnUrx8xvs.zh-CN.vtt	7.1 KB
06. Regularization.html	7.4 KB
04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt	7.7 KB
07. Regularization-ndYnUrx8xvs.en.vtt	8.3 KB
04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt	8.3 KB
07. Regularization-ndYnUrx8xvs.pt-BR.vtt	9.0 KB
10. Random Restart-idyBBCzXiqg.mp4	404.5 KB
09. Local Minima-gF_sW_nY-xw.mp4	839.5 KB
14. Learning Rate-TwJ8aSZoh2U.mp4	949.3 KB
06. DL 53 Q Regularization-KxROxcRsHL8.mp4	1.1 MB
11. Vanishing Gradient-W_JJm_5syFw.mp4	1.4 MB
16. Error Functions Around the World-34AAcTECu2A.mp4	1.8 MB
03. Testing-EeBZpb-PSac.mp4	2.1 MB
15. Momentum-r-rYz_PEWC8.mp4	2.2 MB
12. Other Activation Functions-kA-1vUt6cvQ.mp4	2.4 MB
02. Training Optimization-UiGKhx9pUYc.mp4	3.1 MB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4	4.1 MB
08. Dropout-Ty6K6YiGdBs.mp4	4.4 MB
05. Model Complexity Graph-NnS0FJyVcDQ.mp4	5.1 MB
04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4	6.7 MB
07. Regularization-ndYnUrx8xvs.mp4	7.9 MB
/Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/
13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.pt-BR.vtt	0.4 KB
16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt	0.5 KB
07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt	0.5 KB
16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt	0.5 KB
28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt	0.5 KB
07. 07 Quiz Data Challenges V1-F8yc7BlV93c.pt-BR.vtt	0.5 KB
13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.zh-CN.vtt	0.5 KB
13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt	0.5 KB
16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt	0.5 KB
28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt	0.5 KB
07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt	0.5 KB
28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt	0.5 KB
20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt	0.6 KB
19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt	0.7 KB
19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt	0.7 KB
08. Solution Data Challenges-1z3o4niQuNg.pt-BR.vtt	0.7 KB
10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.zh-CN.vtt	0.7 KB
10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.pt-BR.vtt	0.8 KB
14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt	0.8 KB
14. Solution Sensitivty And Specificity-GBZjyeMjKxc.pt-BR.vtt	0.8 KB
19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt	0.8 KB
08. Solution Data Challenges-1z3o4niQuNg.zh-CN.vtt	0.8 KB
01. Introduction-ZCpXvVdIdnY.zh-CN.vtt	0.8 KB
20. Solution ROC Curve-sdUUf6RRmXI.zh-CN.vtt	0.8 KB
14. Solution Sensitivty And Specificity-GBZjyeMjKxc.en.vtt	0.9 KB
10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt	0.9 KB
01. Introduction-ZCpXvVdIdnY.pt-BR.vtt	0.9 KB
08. Solution Data Challenges-1z3o4niQuNg.en.vtt	0.9 KB
01. Introduction-ZCpXvVdIdnY.en.vtt	0.9 KB
06. 06 Image Challenge V3-Efnoj1KNPHw.zh-CN.vtt	0.9 KB
06. 06 Image Challenge V3-Efnoj1KNPHw.pt-BR.vtt	0.9 KB
20. Solution ROC Curve-sdUUf6RRmXI.en.vtt	0.9 KB
11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.zh-CN.vtt	1.0 KB
09. Training The Neural Network-HwiI-UXUx-M.pt-BR.vtt	1.0 KB
09. Training The Neural Network-HwiI-UXUx-M.zh-CN.vtt	1.0 KB
03. Survival Rate-QPlp3NeGuSk.zh-CN.vtt	1.0 KB
11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.pt-BR.vtt	1.0 KB
06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt	1.1 KB
03. Survival Rate-QPlp3NeGuSk.pt-BR.vtt	1.1 KB
09. Training The Neural Network-HwiI-UXUx-M.en.vtt	1.1 KB
11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.en.vtt	1.2 KB
04. Medical Classification-RCOSP60dV7U.zh-CN.vtt	1.2 KB
04. Medical Classification-RCOSP60dV7U.pt-BR.vtt	1.2 KB
03. Survival Rate-QPlp3NeGuSk.en.vtt	1.2 KB
17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.zh-CN.vtt	1.3 KB
17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.pt-BR.vtt	1.4 KB
04. Medical Classification-RCOSP60dV7U.en.vtt	1.4 KB
25. Confusion Matrix-3rpN-YYlfes.zh-CN.vtt	1.4 KB
17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt	1.5 KB
22. Visualization-aGIGB4Ta3_A.zh-CN.vtt	1.5 KB
25. Confusion Matrix-3rpN-YYlfes.pt-BR.vtt	1.6 KB
05. The Data-2RLbbV7MQNA.zh-CN.vtt	1.7 KB
25. Confusion Matrix-3rpN-YYlfes.en.vtt	1.7 KB
02. 02 Skin Cancer V4-70jGZeiTNgk.zh-CN.vtt	1.7 KB
05. The Data-2RLbbV7MQNA.pt-BR.vtt	1.8 KB
23. What Is The Neural Network Looking At-qN-rvoxPbBw.pt-BR.vtt	1.8 KB
02. 02 Skin Cancer V4-70jGZeiTNgk.pt-BR.vtt	1.8 KB
22. Visualization-aGIGB4Ta3_A.pt-BR.vtt	1.8 KB
22. Visualization-aGIGB4Ta3_A.en.vtt	1.9 KB
02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt	1.9 KB
23. What Is The Neural Network Looking At-qN-rvoxPbBw.zh-CN.vtt	1.9 KB
05. The Data-2RLbbV7MQNA.en.vtt	2.0 KB
23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt	2.2 KB
12. Validating The Training-Oxm9ofvov3I.pt-BR.vtt	2.3 KB
12. Validating The Training-Oxm9ofvov3I.zh-CN.vtt	2.4 KB
21. ROC Curve-fWwe_JlpnlQ.zh-CN.vtt	2.6 KB
21. ROC Curve-fWwe_JlpnlQ.pt-BR.vtt	2.7 KB
12. Validating The Training-Oxm9ofvov3I.en.vtt	2.7 KB
21. ROC Curve-fWwe_JlpnlQ.en.vtt	3.1 KB
26. Conclusion-WhpE_8sTt-0.zh-CN.vtt	3.3 KB
26. Conclusion-WhpE_8sTt-0.pt-BR.vtt	3.4 KB
26. Conclusion-WhpE_8sTt-0.en.vtt	3.7 KB
24. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt	4.9 KB
24. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt	5.1 KB
24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt	5.6 KB
24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt	5.8 KB
index.html	6.1 KB
18. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt	7.5 KB
05. The data.html	7.9 KB
01. Intro.html	8.0 KB
26. Conclusion.html	8.0 KB
22. Visualization.html	8.0 KB
25. Confusion Matrix.html	8.0 KB
21. Comparing our Results with Doctors.html	8.0 KB
20. Solution ROC Curve.html	8.0 KB
03. Survival Probability of Skin Cancer.html	8.0 KB
04. Medical Classification.html	8.0 KB
12. Validating the Training.html	8.0 KB
08. Solution Data Challenges.html	8.1 KB
28. Mini Project Introduction.html	8.1 KB
09. Training the Neural Network.html	8.1 KB
23. What is the network looking at.html	8.1 KB
14. Solution Sensitivity and Specificity.html	8.1 KB
11. Solution Random vs Pre-initialized Weight.html	8.2 KB
18. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt	8.3 KB
06. Image Challenges.html	8.5 KB
18. ROC Curve-2Iw5TiGzJI4.en.vtt	8.9 KB
16. Quiz Diagnosing Cancer.html	9.0 KB
10. Quiz Random vs Pre-initialized Weights.html	9.2 KB
27. Useful Resources.html	9.2 KB
19. Quiz ROC Curve.html	9.2 KB
07. Quiz Data Challenges.html	9.3 KB
13. Quiz Sensitivity and Specificity.html	9.7 KB
02. Skin Cancer.html	10.1 KB
17. Solution Diagnosing Cancer.html	10.6 KB
15. More on Sensitivity and Specificity.html	11.1 KB
18. Refresh on ROC Curves.html	11.3 KB
24. Refresh on Confusion Matrices.html	15.7 KB
29. Mini Project Dermatologist AI.html	20.0 KB
18. Images-1GdiN5Wc8LA.mp4	404.9 KB
07. 07 Quiz Data Challenges V1-F8yc7BlV93c.mp4	883.2 KB
13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.mp4	909.9 KB
19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp4	1.2 MB
20. Solution ROC Curve-sdUUf6RRmXI.mp4	1.2 MB
16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4	1.2 MB
28. Mini Project Introduction-Rgf3YVFWl-M.mp4	1.2 MB
09. Training The Neural Network-HwiI-UXUx-M.mp4	1.3 MB
06. 06 Image Challenge V3-Efnoj1KNPHw.mp4	1.5 MB
08. Solution Data Challenges-1z3o4niQuNg.mp4	1.6 MB
03. Survival Rate-QPlp3NeGuSk.mp4	1.6 MB
01. Introduction-ZCpXvVdIdnY.mp4	1.6 MB
14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp4	1.7 MB
10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.mp4	1.7 MB
04. Medical Classification-RCOSP60dV7U.mp4	2.3 MB
17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp4	2.4 MB
22. Visualization-aGIGB4Ta3_A.mp4	2.5 MB
21. ROC Curve-fWwe_JlpnlQ.mp4	2.8 MB
11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.mp4	3.0 MB
05. The Data-2RLbbV7MQNA.mp4	3.0 MB
25. Confusion Matrix-3rpN-YYlfes.mp4	3.2 MB
23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4	3.6 MB
02. 02 Skin Cancer V4-70jGZeiTNgk.mp4	5.0 MB
24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4	5.3 MB
12. Validating The Training-Oxm9ofvov3I.mp4	5.8 MB
18. ROC Curve-2Iw5TiGzJI4.mp4	7.0 MB
26. Conclusion-WhpE_8sTt-0.mp4	8.6 MB
/Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/
07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.zh-CN.vtt	0.5 KB
07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.en.vtt	0.6 KB
10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.zh-CN.vtt	0.7 KB
10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.en.vtt	0.7 KB
05. 05 Implementing Constraints Solution V1-uLmGavXEN64.zh-CN.vtt	0.8 KB
06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.zh-CN.vtt	0.8 KB
06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.en.vtt	0.9 KB
05. 05 Implementing Constraints Solution V1-uLmGavXEN64.en.vtt	1.0 KB
09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.zh-CN.vtt	1.0 KB
08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.zh-CN.vtt	1.0 KB
09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.en.vtt	1.2 KB
08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.en.vtt	1.2 KB
17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.zh-CN.vtt	1.3 KB
11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.zh-CN.vtt	1.5 KB
17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.en.vtt	1.6 KB
11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.en.vtt	1.8 KB
04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.zh-CN.vtt	2.4 KB
04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.en.vtt	2.8 KB
01. 02 SLAM V1-UVkkDPJshgM.zh-CN.vtt	2.9 KB
12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.zh-CN.vtt	2.9 KB
18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.zh-CN.vtt	3.0 KB
01. 02 SLAM V1-UVkkDPJshgM.en.vtt	3.1 KB
19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.zh-CN.vtt	3.4 KB
18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.en.vtt	3.6 KB
12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.en.vtt	3.6 KB
19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.en.vtt	4.1 KB
21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.zh-CN.vtt	4.1 KB
21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.en.vtt	4.9 KB
02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.zh-CN.vtt	5.0 KB
index.html	5.4 KB
02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.en.vtt	5.8 KB
12. Quiz Omega and Xi.html	7.0 KB
07. Answer Adding Landmarks.html	7.0 KB
09. Answer Matrix Modification.html	7.0 KB
11. Answer Untouched Fields.html	7.1 KB
19. Confident Measurements.html	7.1 KB
18. Answer Introducing Noise.html	7.1 KB
05. Answer Implementing Constraints.html	7.1 KB
15. Answer Landmark Position.html	7.3 KB
14. Quiz Landmark Position.html	7.5 KB
13. Notebook Omega and Xi .html	7.5 KB
20. Notebook Confident Measurements.html	7.5 KB
21. SLAM Summary.html	7.5 KB
16. Notebook Including Sensor Measurements.html	7.5 KB
10. Quiz Untouched Fields.html	7.8 KB
08. Quiz Matrix Modification.html	7.8 KB
03. Answer Graph SLAM.html	8.0 KB
02. Quiz Graph SLAM.html	8.0 KB
01. Introduction to SLAM.html	8.4 KB
06. Quiz Adding Landmarks.html	8.7 KB
17. Quiz Introducing Noise.html	8.8 KB
04. Quiz Implementing Constraints.html	11.5 KB
10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.mp4	554.0 KB
07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.mp4	624.3 KB
06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.mp4	812.7 KB
05. 05 Implementing Constraints Solution V1-uLmGavXEN64.mp4	907.0 KB
09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.mp4	1.0 MB
08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.mp4	1.1 MB
17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.mp4	1.3 MB
11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.mp4	1.6 MB
04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.mp4	2.6 MB
19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.mp4	3.2 MB
18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.mp4	3.4 MB
01. 02 SLAM V1-UVkkDPJshgM.mp4	4.4 MB
12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.mp4	5.0 MB
02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4	5.8 MB
21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4	14.3 MB
/Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/
01. Project Overview-uaWZNKGTtgM.zh-CN.vtt	0.5 KB
01. Project Overview-uaWZNKGTtgM.en.vtt	0.5 KB
index.html	3.8 KB
03. Testing on Your Own.html	5.0 KB
01. Project Overview.html	5.3 KB
02. Notebook - Two Dimensional Histogram Filter.html	5.5 KB
01. Project Overview-uaWZNKGTtgM.mp4	2.3 MB
/Part 09-Module 01-Lesson 01_C++ Getting Started/
17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt	0.5 KB
22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt	0.6 KB
17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt	0.6 KB
22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt	0.6 KB
02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt	1.3 KB
10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt	1.4 KB
15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt	1.4 KB
10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt	1.4 KB
17. Function Signatures 2-Sx4AWTmXl2U.zh-CN.vtt	1.4 KB
01. Introduction-ahoiVrq4qAk.zh-CN.vtt	1.5 KB
02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt	1.5 KB
15. Two Functions Same Name-0ZF649G58l4.en.vtt	1.6 KB
17. Function Signatures 2-Sx4AWTmXl2U.en.vtt	1.6 KB
01. Introduction-ahoiVrq4qAk.en.vtt	1.6 KB
02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt	1.7 KB
02. Lesson Overview C++-lR3PH3bL-9U.en.vtt	2.0 KB
04. Why C++-_t4ZvwfnuCA.zh-CN.vtt	2.5 KB
16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt	2.5 KB
06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt	2.6 KB
16. Function Signatures 1-T6kQ_4w98IQ.en.vtt	2.7 KB
15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt	2.7 KB
04. Why C++-_t4ZvwfnuCA.en.vtt	2.7 KB
06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt	2.8 KB
15. Two Functions Same Name-9SgmzOfBmRU.en.vtt	2.9 KB
index.html	5.2 KB
04. Why C++.html	6.8 KB
01. Introduction.html	6.8 KB
10. Doubles are Bigger.html	6.9 KB
22. Forge on!.html	6.9 KB
06. Static vs Dynamic Typing.html	6.9 KB
17. Function Signatures 2.html	7.8 KB
03. Elecia White.html	8.0 KB
16. Function Signatures 1.html	8.2 KB
14. Multiple Outputs.html	8.3 KB
02. Lesson Overview.html	9.2 KB
15. Two Functions Same Name.html	9.4 KB
12. C++ Functions.html	10.3 KB
08. Basic Data Types.html	10.5 KB
07. C++ - A Statically Typed Language.html	11.3 KB
09. Floating versus Double [demonstration].html	11.9 KB
19. While and For Loops.html	12.4 KB
05. Python and C++ Comparison.html	12.9 KB
21. Libraries.html	12.9 KB
13. Anatomy of a Function.html	13.2 KB
20. Switch Statement.html	13.7 KB
11. Common Errors and Error Messages.html	14.8 KB
18. If and Boolean Logic.html	17.8 KB
22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4	1.7 MB
17. Function Signatures 3 V1-U3QAFb3AS1M.mp4	2.3 MB
10. Doubles Are Bigger-uhwTWgmM2iY.mp4	5.4 MB
02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4	6.1 MB
01. Introduction-ahoiVrq4qAk.mp4	6.3 MB
15. Two Functions Same Name-0ZF649G58l4.mp4	6.4 MB
02. Lesson Overview C++-lR3PH3bL-9U.mp4	7.8 MB
17. Function Signatures 2-Sx4AWTmXl2U.mp4	8.5 MB
06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4	11.0 MB
16. Function Signatures 1-T6kQ_4w98IQ.mp4	12.2 MB
04. Why C++-_t4ZvwfnuCA.mp4	12.6 MB
15. Two Functions Same Name-9SgmzOfBmRU.mp4	13.8 MB
/Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/
08. Remember Gate-0qlm86HaXuU.zh-CN.vtt	0.6 KB
08. Remember Gate-0qlm86HaXuU.pt-BR.vtt	0.7 KB
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07. Forget Gate-iWxpfxLUPSU.zh-CN.vtt	1.1 KB
07. Forget Gate-iWxpfxLUPSU.en.vtt	1.3 KB
07. 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
09. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt	1.5 KB
09. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt	1.8 KB
09. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt	1.8 KB
14. Sequence Batching-pdSr5F-9qE0.zh-CN.vtt	2.0 KB
16. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt	2.1 KB
10. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt	2.2 KB
14. Sequence Batching-pdSr5F-9qE0.en.vtt	2.2 KB
16. Other Architectures-MsxFDuYlTuQ.en.vtt	2.4 KB
10. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt	2.4 KB
10. Putting It All Together-IF8FlKW-Zo0.en.vtt	2.5 KB
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13. Character-Wise RNN-m_S2hs6-j5w.zh-CN.vtt	3.1 KB
13. Character-Wise RNN-m_S2hs6-j5w.en.vtt	3.5 KB
02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt	4.3 KB
02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt	4.3 KB
03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt	4.7 KB
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02. RNN Vs LSTM-70MgF-IwAr8.en.vtt	4.8 KB
03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt	5.2 KB
03. LSTM Basics-gjb68a4XsqE.en.vtt	5.3 KB
02. RNN vs LSTM.html	6.4 KB
03. Basics of LSTM.html	6.4 KB
04. Architecture of LSTM.html	6.4 KB
10. Putting it All Together.html	6.4 KB
08. The Remember Gate.html	6.8 KB
13. Character-Level RNN.html	6.8 KB
16. Other architectures.html	6.8 KB
15. Notebook Character-Level LSTM.html	6.8 KB
14. Sequence Batching.html	6.9 KB
12. Notebook LSTM for Part of Speech Tagging.html	6.9 KB
05. Notebook LSTM Structure and Hidden State, PyTorch.html	6.9 KB
07. The Forget Gate.html	6.9 KB
06. The Learn Gate.html	7.0 KB
09. The Use Gate.html	7.0 KB
01. Intro to LSTM.html	7.2 KB
11. Quiz.html	8.2 KB
08. Remember Gate-0qlm86HaXuU.mp4	693.2 KB
07. Forget Gate-iWxpfxLUPSU.mp4	1.1 MB
04. LSTM Architecture-ycwthhdx8ws.mp4	1.1 MB
09. LSTM 7 Use Gate-5Ifolm1jTdY.mp4	1.6 MB
10. Putting It All Together-IF8FlKW-Zo0.mp4	1.7 MB
16. Other Architectures-MsxFDuYlTuQ.mp4	1.8 MB
06. Learn Gate-aVHVI7ovbHY.mp4	2.3 MB
14. Sequence Batching-pdSr5F-9qE0.mp4	2.4 MB
13. Character-Wise RNN-m_S2hs6-j5w.mp4	3.0 MB
02. RNN Vs LSTM-70MgF-IwAr8.mp4	3.8 MB
03. LSTM Basics-gjb68a4XsqE.mp4	4.2 MB
/Part 07-Module 01-Lesson 01_Sentiment Analysis/
01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt	0.7 KB
01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt	0.7 KB
01. Introducing Andrew Trask-ltO71Bm8b3M.pt-BR.vtt	1.3 KB
23. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt	2.2 KB
23. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt	2.5 KB
23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt	2.8 KB
11. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt	2.9 KB
11. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt	3.0 KB
11. Building a Neural Network-aM2k7RTjjJI.en.vtt	3.4 KB
02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt	3.8 KB
10. Mini Project 2 Solution-45ihpPaeO8E.pt-BR.vtt	4.0 KB
08. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt	4.3 KB
08. Transforming Text into Numbers-7rHBU5cbePE.zh-CN.vtt	4.4 KB
10. Mini Project 2 Solution-45ihpPaeO8E.zh-CN.vtt	4.7 KB
02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt	5.1 KB
08. Transforming Text into Numbers-7rHBU5cbePE.en.vtt	5.2 KB
10. Mini Project 2 Solution-45ihpPaeO8E.en.vtt	5.2 KB
index.html	5.4 KB
02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt	5.6 KB
23. Conclusion.html	7.2 KB
05. Framing the Problem.html	7.2 KB
19. Further Noise Reduction.html	7.2 KB
01. Introducing Andrew Trask.html	7.2 KB
11. Building a Neural Network.html	7.2 KB
14. Understanding Neural Noise.html	7.2 KB
08. Transforming Text into Numbers.html	7.2 KB
16. Understanding Inefficiencies in our Network.html	7.3 KB
07. Mini Project 1 Solution.html	7.5 KB
10. Mini Project 2 Solution.html	7.5 KB
13. Mini Project 3 Solution.html	7.5 KB
18. Mini Project 5 Solution.html	7.5 KB
02. Meet Andrew.html	7.5 KB
04. The Notebooks.html	7.6 KB
22. Analysis What's Going on in the Weights.html	7.6 KB
21. Mini Project 6 Solution.html	7.6 KB
06. Mini Project 1.html	7.7 KB
07. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt	7.8 KB
15. Mini Project 4.html	7.8 KB
16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt	8.0 KB
05. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt	8.0 KB
18. Mini Project 5 Solution-Hv86B_jjWTI.zh-CN.vtt	8.4 KB
16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt	8.4 KB
18. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt	8.5 KB
05. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt	8.5 KB
17. Mini Project 5.html	8.6 KB
12. Mini Project 3.html	8.7 KB
20. Mini Project 6.html	8.8 KB
05. Framing the Problem-IsTOnkAKaJw.en.vtt	9.0 KB
07. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt	9.0 KB
07. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt	9.1 KB
03. Materials.html	9.4 KB
16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt	9.5 KB
09. Mini Project 2.html	9.7 KB
18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt	9.8 KB
19. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt	10.2 KB
19. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt	10.4 KB
19. Further Noise Reduction-Kl3hWxizKVg.en.vtt	11.2 KB
22. Analysis What's Going on in the Weights-UHsT35pbpcE.zh-CN.vtt	12.4 KB
21. Mini Project 6 Solution-ji0famK7gOQ.zh-CN.vtt	12.4 KB
21. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt	12.5 KB
22. Analysis What's Going on in the Weights-UHsT35pbpcE.pt-BR.vtt	12.9 KB
14. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt	13.8 KB
22. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt	14.0 KB
14. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt	14.0 KB
21. Mini Project 6 Solution-ji0famK7gOQ.en.vtt	14.3 KB
14. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt	16.0 KB
13. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt	16.2 KB
13. Mini Project 3 Solution-imnxzCev4SI.zh-CN.vtt	16.2 KB
13. Mini Project 3 Solution-imnxzCev4SI.en.vtt	18.9 KB
01. Introducing Andrew Trask-ltO71Bm8b3M.mp4	4.3 MB
08. Transforming Text into Numbers-7rHBU5cbePE.mp4	7.0 MB
10. Mini Project 2 Solution-45ihpPaeO8E.mp4	9.7 MB
11. Building a Neural Network-aM2k7RTjjJI.mp4	10.7 MB
23. Andrew Trask - Outro-nIF0GLOQglQ.mp4	12.4 MB
05. Framing the Problem-IsTOnkAKaJw.mp4	18.5 MB
16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4	21.7 MB
19. Further Noise Reduction-Kl3hWxizKVg.mp4	23.4 MB
02. Andrew Trask - Intro-da1I0mea1jQ.mp4	24.9 MB
07. Mini Project 1 Solution-l4r5l0HvHRI.mp4	26.0 MB
18. Mini Project 5 Solution-Hv86B_jjWTI.mp4	30.3 MB
22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4	35.3 MB
21. Mini Project 6 Solution-ji0famK7gOQ.mp4	41.0 MB
14. Understanding Neural Noise-ubqhh4Iv7O4.mp4	52.7 MB
13. Mini Project 3 Solution-imnxzCev4SI.mp4	57.2 MB
/Part 01-Module 01-Lesson 01_Welcome to Computer Vision/
10. Moving Forward V4-E35QVmp1f2k.zh-CN.vtt	0.7 KB
10. Moving Forward V4-E35QVmp1f2k.en.vtt	0.7 KB
01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.zh-CN.vtt	1.8 KB
01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.en.vtt	2.0 KB
03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.zh-CN.vtt	2.1 KB
02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.zh-CN.vtt	2.1 KB
02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.en.vtt	2.3 KB
03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.en.vtt	2.3 KB
06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.zh-CN.vtt	3.5 KB
06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.en.vtt	3.9 KB
index.html	4.4 KB
05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.zh-CN.vtt	5.7 KB
03. Course Outline.html	5.7 KB
10. Moving Forward!.html	6.2 KB
05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.en.vtt	6.2 KB
06. Learning in the Classroom.html	6.5 KB
05. Partnership with Industry.html	7.1 KB
01. Welcome to the Computer Vision Nanodegree Program.html	7.2 KB
09. Community Guidelines.html	8.2 KB
04. Projects and Topics.html	9.0 KB
02. Computer Vision in Industry.html	9.0 KB
08. Udacity Support.html	9.7 KB
07. Deadline Policy.html	17.9 KB
10. Moving Forward V4-E35QVmp1f2k.mp4	1.3 MB
01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.mp4	4.2 MB
02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.mp4	4.4 MB
06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.mp4	4.5 MB
03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.mp4	4.8 MB
05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4	25.4 MB
/Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/
15. Outro-vyNI5hdMigs.zh-CN.vtt	0.7 KB
09. Semantic Segmentation-_L5gJnZrw48.zh-CN.vtt	0.8 KB
15. Outro-vyNI5hdMigs.en.vtt	0.8 KB
11. Scene Understanding-aMQREc-mP50.zh-CN.vtt	0.8 KB
05. Transposed Convolutions-K6mlLX8ZZDs.zh-CN.vtt	0.9 KB
11. Scene Understanding-aMQREc-mP50.en.vtt	0.9 KB
09. Semantic Segmentation-_L5gJnZrw48.en.vtt	0.9 KB
05. Transposed Convolutions-K6mlLX8ZZDs.en.vtt	0.9 KB
01. Intro-1sm1EbfilXI.zh-CN.vtt	1.0 KB
01. Intro-1sm1EbfilXI.en.vtt	1.1 KB
08. Bounding Boxes-uPv4d0Xl8hc.zh-CN.vtt	1.2 KB
04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.zh-CN.vtt	1.3 KB
03. Fully Convolutional Networks-_Lh2ozg5yTs.zh-CN.vtt	1.3 KB
08. Bounding Boxes-uPv4d0Xl8hc.en.vtt	1.3 KB
06. Skip Connections-JUYLA5PWzo0.zh-CN.vtt	1.4 KB
04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.en.vtt	1.4 KB
03. Fully Convolutional Networks-_Lh2ozg5yTs.en.vtt	1.5 KB
06. Skip Connections-JUYLA5PWzo0.en.vtt	1.6 KB
07. FCNs In The Wild-q9wTd53-hsw.zh-CN.vtt	1.6 KB
07. FCNs In The Wild-q9wTd53-hsw.en.vtt	1.8 KB
12. IoU---9BTjOsO6U.zh-CN.vtt	1.8 KB
02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.zh-CN.vtt	1.9 KB
12. IoU---9BTjOsO6U.en.vtt	2.1 KB
02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.en.vtt	2.2 KB
index.html	4.8 KB
12. IoU.html	6.1 KB
01. Intro.html	6.1 KB
15. Outro.html	6.1 KB
08. Bounding Boxes.html	6.2 KB
06. Skip Connections.html	6.2 KB
07. FCNs In The Wild.html	6.2 KB
11. Scene Understanding.html	6.2 KB
09. Semantic Segmentation.html	6.2 KB
03. Fully Convolutional Networks.html	6.2 KB
04. Fully Connected to 1x1 Convolution.html	6.3 KB
02. Why Fully Convolutional Networks (FCNs) .html	6.3 KB
13. IOU Example.html	6.8 KB
05. Transposed Convolutions.html	9.0 KB
14. FCN-8 Architecture.html	9.9 KB
10. Semantic Segmentation and FCN's.html	10.7 KB
05. Transposed Convolutions-K6mlLX8ZZDs.mp4	891.4 KB
04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.mp4	1.2 MB
08. Bounding Boxes-uPv4d0Xl8hc.mp4	1.3 MB
07. FCNs In The Wild-q9wTd53-hsw.mp4	1.5 MB
06. Skip Connections-JUYLA5PWzo0.mp4	1.8 MB
09. Semantic Segmentation-_L5gJnZrw48.mp4	1.8 MB
11. Scene Understanding-aMQREc-mP50.mp4	2.6 MB
02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4	2.7 MB
03. Fully Convolutional Networks-_Lh2ozg5yTs.mp4	3.1 MB
15. Outro-vyNI5hdMigs.mp4	3.4 MB
12. IoU---9BTjOsO6U.mp4	3.5 MB
01. Intro-1sm1EbfilXI.mp4	4.7 MB
/Part 09-Module 02-Lesson 02_C++ Optimization Practice/
19. Nd113 C L2 01 V1-h_P7ceb5ido.zh-CN.vtt	0.7 KB
19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt	0.8 KB
16. Nd113 Story 1 V1-lIe2zso8A-w.zh-CN.vtt	3.9 KB
16. Nd113 Story 1 V1-lIe2zso8A-w.en.vtt	3.9 KB
index.html	5.0 KB
19. Speed Challenge.html	6.6 KB
16. Sebastian's Synchronization Story.html	6.6 KB
09. Exercise For Loops.html	7.1 KB
15. Exercise References.html	7.1 KB
07. Exercise If Statements.html	7.1 KB
13. Exercise Vector Storage.html	7.1 KB
18. Exercise Static Keyword.html	7.1 KB
05. Exercise Remove Dead Code.html	7.1 KB
11. Exercise Intermediate Variables.html	7.2 KB
08. For Loops.html	8.0 KB
10. Intermediate Variables.html	8.5 KB
12. Vector Storage.html	8.6 KB
17. Static Keyword.html	9.6 KB
06. If Statements.html	9.6 KB
14. References.html	10.2 KB
01. Introduction.html	10.8 KB
04. Dead Code.html	10.8 KB
02. Software Development and Optimization.html	12.9 KB
03. Optimization Techniques.html	13.3 KB
19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4	2.4 MB
16. Nd113 Story 1 V1-lIe2zso8A-w.mp4	13.4 MB
/Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/
24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.zh-CN.vtt	0.8 KB
24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.en.vtt	0.9 KB
28. Conclusion-gMbDqd4ItiU.zh-CN.vtt	1.1 KB
18. Rate Gyros-TmnecSf80b0.zh-CN.vtt	1.1 KB
28. Conclusion-gMbDqd4ItiU.en.vtt	1.2 KB
18. Rate Gyros-TmnecSf80b0.en.vtt	1.3 KB
20. Working with Real Data-WvEcWtAz-OQ.zh-CN.vtt	1.4 KB
20. Working with Real Data-WvEcWtAz-OQ.en.vtt	1.5 KB
05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.zh-CN.vtt	1.8 KB
01. 惯性导航-vWgG0d2HOVE.zh-CN.vtt	1.9 KB
25. Solving Trig Problems Part1-qI4i845d7Qg.zh-CN.vtt	2.0 KB
11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.zh-CN.vtt	2.1 KB
05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.en.vtt	2.1 KB
01. 惯性导航-vWgG0d2HOVE.en.vtt	2.1 KB
14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.zh-CN.vtt	2.2 KB
25. Solving Trig Problems Part1-qI4i845d7Qg.en.vtt	2.4 KB
13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.zh-CN.vtt	2.5 KB
11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.en.vtt	2.5 KB
14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.en.vtt	2.7 KB
13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.en.vtt	2.9 KB
14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.zh-CN.vtt	3.0 KB
15. Approximating The Integral-9C05AHzI_I8.zh-CN.vtt	3.2 KB
14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.en.vtt	3.7 KB
15. Approximating The Integral-9C05AHzI_I8.en.vtt	3.9 KB
04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.zh-CN.vtt	4.4 KB
04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.en.vtt	5.0 KB
index.html	6.3 KB
25. Solving Trig Problems.html	8.2 KB
15. Approximating the Integral.html	8.2 KB
24. Trigonometry and Vehicle Motion.html	8.2 KB
28. Conclusion.html	8.3 KB
20. Working with Real Data.html	8.4 KB
18. Rate Gyros.html	8.5 KB
23. Summary and Back to Trigonometry.html	8.5 KB
02. Inertial Navigation Sensors.html	8.6 KB
21. Accumulating Errors.html	8.7 KB
26. Keeping Track of x and y.html	8.7 KB
07. Speed from Position Data.html	8.7 KB
03. Plotting Position vs. Time.html	8.7 KB
09. Implement an Accelerometer.html	8.7 KB
19. Integrating Rate Gyro Data.html	8.7 KB
12. Plotting Elevator Acceleration.html	8.7 KB
17. Integrating Accelerometer Data.html	8.7 KB
30. Lab - Reconstructing Trajectories.html	8.7 KB
16. Approximating Integrals with Code.html	8.7 KB
27. Keeping Track of x and y (solution).html	8.7 KB
01. Introduction to Odometry.html	8.9 KB
22. Sensor Strengths and Weaknesses.html	9.2 KB
11. Acceleration Basics.html	9.5 KB
06. How Odometers Work.html	9.7 KB
08. Position, Velocity, and Acceleration.html	9.9 KB
05. A Typical Calculus Problem.html	10.4 KB
13. Reasoning About Two Peaks.html	11.5 KB
29. Project Overview.html	11.7 KB
10. Differentiation Recap.html	12.1 KB
04. Interpreting Position vs. Time Graphs.html	12.1 KB
14. The Integral Area Under a Curve.html	14.9 KB
24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4	2.2 MB
13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.mp4	3.4 MB
11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4	3.9 MB
05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4	4.7 MB
14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4	5.6 MB
14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4	6.0 MB
28. Conclusion-gMbDqd4ItiU.mp4	6.0 MB
25. Solving Trig Problems Part1-qI4i845d7Qg.mp4	6.3 MB
18. Rate Gyros-TmnecSf80b0.mp4	7.2 MB
04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4	7.3 MB
20. Working with Real Data-WvEcWtAz-OQ.mp4	8.0 MB
15. Approximating The Integral-9C05AHzI_I8.mp4	9.0 MB
01. 惯性导航-vWgG0d2HOVE.mp4	13.5 MB
/Part 02-Module 01-Lesson 02_YOLO/
09. 07 Too Many Boxes V2-nYDWsFdFnQ8.zh-CN.vtt	0.8 KB
09. 07 Too Many Boxes V2-nYDWsFdFnQ8.en.vtt	0.8 KB
10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.zh-CN.vtt	1.3 KB
10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.en.vtt	1.5 KB
01. 01 Introduction V3-uyefSrHZesY.zh-CN.vtt	2.0 KB
06. 05 Training On A Grid V2-uhefpakvXh8.zh-CN.vtt	2.0 KB
06. 05 Training On A Grid V2-uhefpakvXh8.en.vtt	2.2 KB
01. 01 Introduction V3-uyefSrHZesY.en.vtt	2.3 KB
02. 02 YOLO Output V2-MyOuuwk0qC4.zh-CN.vtt	2.4 KB
14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.zh-CN.vtt	2.5 KB
12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.zh-CN.vtt	2.6 KB
02. 02 YOLO Output V2-MyOuuwk0qC4.en.vtt	2.7 KB
14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.en.vtt	2.8 KB
12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.en.vtt	3.1 KB
05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.zh-CN.vtt	3.1 KB
07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.zh-CN.vtt	3.3 KB
05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.en.vtt	3.5 KB
07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.en.vtt	3.7 KB
13. 10 Anchor Boxes V3-IzILYgVb76g.zh-CN.vtt	4.2 KB
03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.zh-CN.vtt	4.6 KB
index.html	4.7 KB
13. 10 Anchor Boxes V3-IzILYgVb76g.en.vtt	4.8 KB
03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.en.vtt	5.1 KB
02. YOLO Output.html	6.2 KB
09. Too Many Boxes.html	6.2 KB
01. Introduction to YOLO.html	6.2 KB
06. Training on a Grid.html	6.2 KB
10. Intersection over Union (IoU).html	6.3 KB
05. Using a Grid.html	6.3 KB
03. Sliding Windows, Revisited.html	6.3 KB
07. Generating Bounding Boxes.html	6.4 KB
13. Anchor Boxes.html	6.7 KB
14. YOLO Algorithm.html	6.7 KB
15. Notebook YOLO Implementation.html	6.8 KB
12. Non-Maximal Suppression.html	7.1 KB
08. Quiz Generating Boxes and Detecting Objects.html	8.0 KB
11. Quiz IoU and Overlap Limits.html	9.6 KB
04. CNN Sliding Windows .html	12.1 KB
09. 07 Too Many Boxes V2-nYDWsFdFnQ8.mp4	2.0 MB
06. 05 Training On A Grid V2-uhefpakvXh8.mp4	3.0 MB
10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.mp4	4.1 MB
05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.mp4	5.1 MB
01. 01 Introduction V3-uyefSrHZesY.mp4	6.3 MB
02. 02 YOLO Output V2-MyOuuwk0qC4.mp4	6.4 MB
14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4	6.8 MB
07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.mp4	6.9 MB
12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.mp4	6.9 MB
03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4	9.9 MB
13. 10 Anchor Boxes V3-IzILYgVb76g.mp4	12.7 MB
/Part 03-Module 01-Lesson 05_Representing State and Motion/
08. Lesson Outline-jh7wLGXrm3E.zh-CN.vtt	0.8 KB
24. Working With Matrices-nruxu8pr6i8.zh-CN.vtt	0.9 KB
08. Lesson Outline-jh7wLGXrm3E.en.vtt	0.9 KB
24. Working With Matrices-nruxu8pr6i8.en.vtt	1.0 KB
02. Intro To State-zfilXYrW4Gk.zh-CN.vtt	1.3 KB
07. Quantifying State-9zMbwSqTZAc.zh-CN.vtt	1.4 KB
19. State Vector-st26ov_TVwM.zh-CN.vtt	1.4 KB
02. Intro To State-zfilXYrW4Gk.en.vtt	1.5 KB
07. Quantifying State-9zMbwSqTZAc.en.vtt	1.5 KB
19. State Vector-st26ov_TVwM.en.vtt	1.5 KB
05. A Different Model-Mh0g-SMpMI4.zh-CN.vtt	1.6 KB
05. A Different Model-Mh0g-SMpMI4.en.vtt	1.8 KB
03. Motion Models-qSdbn_PVQnk.zh-CN.vtt	2.2 KB
03. Motion Models-qSdbn_PVQnk.en.vtt	2.6 KB
01. Localization Steps-4SiMoSTf4rQ.zh-CN.vtt	2.8 KB
09. Always Moving-EQBQlHvxAQA.zh-CN.vtt	2.8 KB
01. Localization Steps-4SiMoSTf4rQ.en.vtt	3.0 KB
09. Always Moving-EQBQlHvxAQA.en.vtt	3.3 KB
20. State Transformation Matrix-DRRuQMYo800.zh-CN.vtt	3.7 KB
20. State Transformation Matrix-DRRuQMYo800.en.vtt	4.1 KB
10. Car Object-SnfhGZ76h7Y.zh-CN.vtt	4.6 KB
14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.zh-CN.vtt	4.8 KB
10. Car Object-SnfhGZ76h7Y.en.vtt	4.8 KB
index.html	5.4 KB
14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.en.vtt	5.5 KB
14. Adding Color.html	7.1 KB
23. Modify Predict State.html	7.6 KB
15. Instantiate Multiple Cars.html	7.6 KB
18. Overloading Color Addition.html	7.6 KB
11. Interacting with a Car Object.html	7.6 KB
12. Look at the Class Code.html	7.8 KB
24. Working with Matrices.html	7.9 KB
16. Color Class.html	7.9 KB
08. Lesson Outline.html	8.1 KB
19. State Vector.html	8.3 KB
13. Turn Right.html	8.3 KB
04. Quiz Predicting State.html	8.6 KB
10. Car Object.html	9.5 KB
03. Motion Models.html	9.9 KB
22. 1D State Vector and More Multiplication.html	9.9 KB
02. Intro to State.html	10.0 KB
17. Overloading Functions.html	10.0 KB
09. Always Moving.html	10.5 KB
20. State Transformation Matrix.html	10.6 KB
01. Localization Steps.html	11.3 KB
07. Quantifying State.html	11.5 KB
21. Matrix Multiplication.html	12.5 KB
05. A Different Model.html	13.1 KB
06. Kinematics.html	13.6 KB
02. Intro To State-zfilXYrW4Gk.mp4	1.2 MB
05. A Different Model-Mh0g-SMpMI4.mp4	1.6 MB
03. Motion Models-qSdbn_PVQnk.mp4	2.2 MB
08. Lesson Outline-jh7wLGXrm3E.mp4	3.0 MB
20. State Transformation Matrix-DRRuQMYo800.mp4	3.4 MB
24. Working With Matrices-nruxu8pr6i8.mp4	3.4 MB
09. Always Moving-EQBQlHvxAQA.mp4	3.8 MB
01. Localization Steps-4SiMoSTf4rQ.mp4	4.3 MB
07. Quantifying State-9zMbwSqTZAc.mp4	5.3 MB
10. Car Object-SnfhGZ76h7Y.mp4	5.4 MB
19. State Vector-st26ov_TVwM.mp4	5.4 MB
14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4	6.4 MB
/Part 02-Module 01-Lesson 07_Image Captioning/
11. 09 On To The Project V2-MsxNRaYTNSk.zh-CN.vtt	0.9 KB
11. 09 On To The Project V2-MsxNRaYTNSk.en.vtt	1.1 KB
02. 02 Leveraging Neural Networks V3-thClOUTiNxY.zh-CN.vtt	1.3 KB
06. 05 The Glue V5-u2ZdcUDnHm0.zh-CN.vtt	1.3 KB
10. 08 Video Captioning V1-I_m9JyKTfbQ.zh-CN.vtt	1.4 KB
02. 02 Leveraging Neural Networks V3-thClOUTiNxY.en.vtt	1.5 KB
06. 05 The Glue V5-u2ZdcUDnHm0.en.vtt	1.5 KB
10. 08 Video Captioning V1-I_m9JyKTfbQ.en.vtt	1.5 KB
03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.zh-CN.vtt	1.8 KB
05. 04 CNNRNN Model V3-n7kdMiX1Xz8.zh-CN.vtt	2.0 KB
03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.en.vtt	2.1 KB
01. 01 L Introduction V3-dobNslC2y-o.zh-CN.vtt	2.2 KB
05. 04 CNNRNN Model V3-n7kdMiX1Xz8.en.vtt	2.2 KB
01. 01 L Introduction V3-dobNslC2y-o.en.vtt	2.5 KB
08. Tokenization-4Ieotbeh4u8.zh-CN.vtt	2.7 KB
07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.zh-CN.vtt	2.8 KB
08. Tokenization-4Ieotbeh4u8.en.vtt	3.0 KB
07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.en.vtt	3.0 KB
08. Tokenization-4Ieotbeh4u8.pt-BR.vtt	3.4 KB
09. 07 RNN Training V4-P-tHxD7kRmA.zh-CN.vtt	3.7 KB
09. 07 RNN Training V4-P-tHxD7kRmA.en.vtt	4.2 KB
index.html	4.4 KB
05. CNN-RNN Model.html	5.7 KB
06. The Glue, Feature Vector.html	5.7 KB
10. Video Captioning.html	5.8 KB
07. Tokenizing Captions.html	5.8 KB
01. Introduction to Image Captioning.html	5.8 KB
02. Leveraging Neural Networks.html	5.8 KB
03. Captions and the COCO Dataset.html	5.8 KB
11. On to the Project!.html	6.2 KB
09. RNN Training.html	6.8 KB
08. Tokenizing Words.html	7.3 KB
04. Visualize the Dataset.html	8.5 KB
02. 02 Leveraging Neural Networks V3-thClOUTiNxY.mp4	2.7 MB
10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4	2.7 MB
08. Tokenization-4Ieotbeh4u8.mp4	3.4 MB
11. 09 On To The Project V2-MsxNRaYTNSk.mp4	4.1 MB
05. 04 CNNRNN Model V3-n7kdMiX1Xz8.mp4	4.6 MB
03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.mp4	5.9 MB
01. 01 L Introduction V3-dobNslC2y-o.mp4	6.2 MB
06. 05 The Glue V5-u2ZdcUDnHm0.mp4	6.3 MB
09. 07 RNN Training V4-P-tHxD7kRmA.mp4	7.9 MB
07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.mp4	10.4 MB
/Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/
01. Introduction-4xHI5LFX-cQ.zh-CN.vtt	1.0 KB
01. Introduction-4xHI5LFX-cQ.en.vtt	1.0 KB
03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt	2.0 KB
03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt	2.2 KB
index.html	5.2 KB
03. Why use Object Oriented Programming.html	6.9 KB
12. Implement a Class.html	7.1 KB
20. Running your Program Locally.html	7.3 KB
01. Introduction.html	7.8 KB
08. Other Facets of C++ Classes.html	7.8 KB
05. Explanation of the Main.cpp File.html	9.8 KB
13. Class Variables.html	10.7 KB
07. Review Anatomy of a Class.html	11.5 KB
18. Use an Inclusion Guard.html	12.5 KB
04. Using a Class in C++ [Demo].html	12.7 KB
10. Header Files.html	13.0 KB
16. Set and Get Functions.html	13.8 KB
06. Practice Using a Class.html	13.8 KB
02. Python vs. C++.html	14.2 KB
09. Private and Public.html	14.9 KB
15. Constructor Functions.html	16.1 KB
19. Instantiate an Object.html	16.5 KB
14. Class Function Declarations.html	17.5 KB
17. Matrix Functions.html	17.7 KB
11. Inclusion Guards.html	23.4 KB
01. Introduction-4xHI5LFX-cQ.mp4	4.5 MB
03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4	11.2 MB
/Part 03-Module 01-Lesson 01_Introduction to Motion/
02. Localization V1 (1)-QkVyEMTUkAw.zh-CN.vtt	1.1 KB
02. Localization V1 (1)-QkVyEMTUkAw.en.vtt	1.2 KB
03. Motion -A-QJf04LBb0.zh-CN.vtt	1.5 KB
01. Object Tracking V4 (1)-ciEo6PyMTeM.zh-CN.vtt	1.6 KB
03. Motion -A-QJf04LBb0.en.vtt	1.6 KB
04. Optical Flow-TOS8UJwCtTg.zh-CN.vtt	1.6 KB
01. Object Tracking V4 (1)-ciEo6PyMTeM.en.vtt	1.7 KB
04. Optical Flow-TOS8UJwCtTg.en.vtt	1.8 KB
08. 04 Tracking Features V2-uFf6IZ5MxgU.zh-CN.vtt	2.0 KB
08. 04 Tracking Features V2-uFf6IZ5MxgU.en.vtt	2.3 KB
05. 01 Motion Vector V2-I3f3IEUI2tg.zh-CN.vtt	2.4 KB
06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.zh-CN.vtt	2.6 KB
05. 01 Motion Vector V2-I3f3IEUI2tg.en.vtt	2.8 KB
06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.en.vtt	2.9 KB
index.html	4.1 KB
03. Motion.html	5.3 KB
04. Optical Flow.html	5.4 KB
02. Localization Intro.html	5.4 KB
01. Object Tracking.html	5.4 KB
07. Notebook Optical Flow and Motion Vectors.html	6.0 KB
06. Brightness Constancy Assumption.html	6.5 KB
08. Tracking Features.html	6.7 KB
05. Motion Vector.html	8.2 KB
04. Optical Flow-TOS8UJwCtTg.mp4	2.2 MB
02. Localization V1 (1)-QkVyEMTUkAw.mp4	2.7 MB
05. 01 Motion Vector V2-I3f3IEUI2tg.mp4	3.8 MB
08. 04 Tracking Features V2-uFf6IZ5MxgU.mp4	3.9 MB
06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.mp4	4.3 MB
03. Motion -A-QJf04LBb0.mp4	5.3 MB
01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4	6.4 MB
/Part 09-Module 02-Lesson 01_C++ Intro to Optimization/
01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt	1.2 KB
01. Course Introduction-Lwc5oYApdUM.en.vtt	1.3 KB
12. C Opt 05 L V3-rTtZVyWxYG8.zh-CN.vtt	2.2 KB
12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt	2.4 KB
02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt	3.0 KB
02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt	3.4 KB
10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.zh-CN.vtt	3.6 KB
10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt	4.1 KB
index.html	4.4 KB
03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.zh-CN.vtt	4.8 KB
03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt	5.6 KB
12. Outro.html	5.8 KB
01. Course Introduction.html	5.8 KB
02. Empathize with the Computer.html	5.8 KB
07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.zh-CN.vtt	5.9 KB
08. Demo Binary.html	6.3 KB
05. Demo Machine Code.html	6.3 KB
09. Demo Binary Floats.html	6.3 KB
11. Demo Stack vs Heap.html	6.3 KB
07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.en.vtt	6.5 KB
06. Assembly Language.html	7.2 KB
04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.zh-CN.vtt	9.4 KB
03. Intro to Computer Hardware.html	10.5 KB
04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.en.vtt	10.6 KB
07. Binary.html	11.9 KB
04. Embedded Terminal Explanation.html	13.5 KB
10. Memory and the CPU.html	14.6 KB
01. Course Introduction-Lwc5oYApdUM.mp4	3.4 MB
10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4	3.8 MB
03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4	4.5 MB
12. C Opt 05 L V3-rTtZVyWxYG8.mp4	4.7 MB
07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4	5.6 MB
02. C Opt 01 L V2-Kdx1_BI5ddc.mp4	8.1 MB
04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4	27.8 MB
/Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/
02. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt	1.2 KB
02. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt	1.3 KB
02. Why Neural Networks-zAkzOZntK6Y.en.vtt	1.4 KB
05. Chain Rule-YAhIBOnbt54.zh-CN.vtt	1.5 KB
05. Chain Rule-YAhIBOnbt54.en.vtt	1.7 KB
04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt	1.7 KB
05. Chain Rule-YAhIBOnbt54.pt-BR.vtt	1.8 KB
03. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt	1.9 KB
04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt	2.0 KB
03. Multiclass Classification-uNTtvxwfox0.en.vtt	2.1 KB
03. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt	2.2 KB
04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt	2.2 KB
03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt	2.8 KB
05. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt	3.0 KB
03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt	3.1 KB
03. Layers-pg99FkXYK0M.zh-CN.vtt	3.1 KB
03. Layers-pg99FkXYK0M.pt-BR.vtt	3.4 KB
03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt	3.4 KB
03. Layers-pg99FkXYK0M.en.vtt	3.5 KB
05. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt	3.5 KB
05. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt	3.5 KB
index.html	3.9 KB
03. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt	4.7 KB
05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt	5.2 KB
02. Why Neural Networks.html	5.2 KB
01. Instructor.html	5.3 KB
03. Combinando modelos-Boy3zHVrWB4.en.vtt	5.4 KB
03. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt	5.4 KB
04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt	5.5 KB
05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt	6.3 KB
04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt	6.3 KB
04. Feedforward.html	6.5 KB
05. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt	6.5 KB
05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt	6.7 KB
04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt	6.9 KB
05. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt	7.3 KB
05. Backpropagation V2-1SmY3TZTyUk.en.vtt	7.4 KB
05. Backpropagation.html	9.4 KB
03. Neural Network Architecture.html	10.0 KB
02. Why Neural Networks-zAkzOZntK6Y.mp4	1.0 MB
05. Chain Rule-YAhIBOnbt54.mp4	1.5 MB
04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4	1.8 MB
03. Multiclass Classification-uNTtvxwfox0.mp4	2.0 MB
03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4	3.0 MB
03. Layers-pg99FkXYK0M.mp4	3.3 MB
05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4	3.5 MB
03. Combinando modelos-Boy3zHVrWB4.mp4	5.0 MB
04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4	5.6 MB
05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4	6.0 MB
05. Backpropagation V2-1SmY3TZTyUk.mp4	6.8 MB
/Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/
01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.zh-CN.vtt	1.2 KB
01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.en.vtt	1.4 KB
23. Haar Cascades-vALIpxVfKRc.zh-CN.vtt	3.3 KB
18. Hough Transform-RIOzsF1_xuo.zh-CN.vtt	3.6 KB
20. Hough Line Detection-PVIUkQKbrUw.zh-CN.vtt	3.6 KB
23. Haar Cascades-vALIpxVfKRc.en.vtt	3.7 KB
11. Gaussian Blur-1tlPonqIOrU.zh-CN.vtt	3.7 KB
18. Hough Transform-RIOzsF1_xuo.en.vtt	3.8 KB
11. Gaussian Blur-1tlPonqIOrU.en.vtt	3.9 KB
20. Hough Line Detection-PVIUkQKbrUw.en.vtt	3.9 KB
10. Low-pass Filters-jy5Be9vf2rk.zh-CN.vtt	4.3 KB
10. Low-pass Filters-jy5Be9vf2rk.en.vtt	4.9 KB
15. Canny Edge Detection-Nm1H2xMMS3I.zh-CN.vtt	5.2 KB
07. Creating a Filter-VEsdTRBH3D8.zh-CN.vtt	5.4 KB
15. Canny Edge Detection-Nm1H2xMMS3I.en.vtt	5.8 KB
index.html	5.8 KB
07. Creating a Filter-VEsdTRBH3D8.en.vtt	6.0 KB
05. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt	6.7 KB
23. Haar Cascades.html	7.5 KB
10. Low-pass Filters.html	7.5 KB
05. High-pass Filters-OpcFn_H2V-Q.en.vtt	7.7 KB
18. Hough Transform.html	7.8 KB
20. Hough Line Detection.html	7.9 KB
15. Canny Edge Detector.html	8.0 KB
11. Gaussian Blur.html	8.1 KB
07. Creating a Filter.html	8.1 KB
09. Notebook Finding Edges.html	8.1 KB
12. Notebook Gaussian Blur.html	8.1 KB
21. Notebook Hough Detections.html	8.1 KB
03. Notebook Fourier Transforms.html	8.1 KB
16. Notebook Canny Edge Detection.html	8.1 KB
24. Notebook Haar Cascade Face Detection.html	8.1 KB
13. Notebook Fourier Transforms of Filters.html	8.1 KB
05. High-pass Filters-OpcFn_H2V-Q.pt-BR.vtt	8.4 KB
17. Shape Detection.html	8.8 KB
06. Quiz Kernels.html	8.8 KB
01. Filters and Finding Edges.html	8.8 KB
05. High-pass Filters.html	8.8 KB
19. Quiz Hough Space.html	8.8 KB
04. Quiz Fourier Tranform Image.html	9.1 KB
14. Convolutional Layer.html	10.2 KB
22. Object Recognition Introducing Haar Cascades.html	10.3 KB
26. Beyond Edges, Selecting Different Features.html	11.5 KB
08. Gradients and Sobel Filters.html	11.5 KB
02. Frequency in Images.html	11.9 KB
25. Face Recognition and the Dangers of Bias.html	12.4 KB
23. Haar Cascades-vALIpxVfKRc.mp4	3.2 MB
18. Hough Transform-RIOzsF1_xuo.mp4	3.4 MB
20. Hough Line Detection-PVIUkQKbrUw.mp4	4.7 MB
10. Low-pass Filters-jy5Be9vf2rk.mp4	5.4 MB
11. Gaussian Blur-1tlPonqIOrU.mp4	5.8 MB
07. Creating a Filter-VEsdTRBH3D8.mp4	6.9 MB
15. Canny Edge Detection-Nm1H2xMMS3I.mp4	7.3 MB
01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4	8.3 MB
05. High-pass Filters-OpcFn_H2V-Q.mp4	8.6 MB
/Part 02-Module 01-Lesson 01_Advanced CNN Architectures/
02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.zh-CN.vtt	1.3 KB
10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.zh-CN.vtt	1.3 KB
02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.en.vtt	1.4 KB
10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.en.vtt	1.6 KB
09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.zh-CN.vtt	1.7 KB
09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.en.vtt	2.0 KB
08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.zh-CN.vtt	2.0 KB
08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.en.vtt	2.3 KB
01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.zh-CN.vtt	2.7 KB
07. 06 RCNN V1 RENDER V2-EchapZJMTYU.zh-CN.vtt	2.8 KB
06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.zh-CN.vtt	3.2 KB
07. 06 RCNN V1 RENDER V2-EchapZJMTYU.en.vtt	3.2 KB
01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.en.vtt	3.2 KB
06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.en.vtt	3.6 KB
03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.zh-CN.vtt	3.7 KB
04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.zh-CN.vtt	3.9 KB
03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.en.vtt	4.3 KB
index.html	4.3 KB
04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.en.vtt	4.5 KB
02. More than Classification.html	5.8 KB
10. Detection With and Without Proposals.html	5.8 KB
01. CNN's and Scene Understanding.html	5.8 KB
03. Classification and Localization.html	6.5 KB
06. Region Proposals.html	7.0 KB
07. R-CNN.html	7.3 KB
05. Quiz Loss Values.html	7.6 KB
04. Bounding Boxes and Regression.html	8.0 KB
08. Fast R-CNN.html	8.4 KB
09. Faster R-CNN.html	10.3 KB
09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.mp4	3.1 MB
08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.mp4	3.1 MB
02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4	3.2 MB
10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.mp4	4.1 MB
07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4	6.1 MB
06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.mp4	7.1 MB
03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4	8.5 MB
01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4	8.8 MB
04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.mp4	9.0 MB
/Part 01-Module 01-Lesson 02_Image Representation & Classification/
01. 01 Pattern Recognition V1-cX5EE1WEqhY.zh-CN.vtt	1.3 KB
01. 01 Pattern Recognition V1-cX5EE1WEqhY.en.vtt	1.4 KB
03. 08. Computer Vision Pipeline-64hFcqhnNow.zh-CN.vtt	1.5 KB
23. Nd113 C7 29 L Features-HshygbfQylA.zh-CN.vtt	1.7 KB
06. AffdexMe Demo-dpFtXDqakvY.zh-CN.vtt	1.7 KB
13. Color Thresholds-08ZlYZJaiUg.zh-CN.vtt	1.7 KB
03. 08. Computer Vision Pipeline-64hFcqhnNow.en.vtt	1.7 KB
28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.zh-CN.vtt	1.8 KB
13. Color Thresholds-08ZlYZJaiUg.en.vtt	1.8 KB
23. Nd113 C7 29 L Features-HshygbfQylA.en.vtt	1.9 KB
28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.en.vtt	1.9 KB
06. AffdexMe Demo-dpFtXDqakvY.en.vtt	2.0 KB
02. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt	2.1 KB
07. Image Formation-6ZVnQYzfpis.zh-CN.vtt	2.3 KB
02. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt	2.4 KB
10. Color Images--XbXiiGQ9gw.zh-CN.vtt	2.5 KB
07. Image Formation-6ZVnQYzfpis.en.vtt	2.6 KB
04. 09. Training a Model-m4GVfwVkj74.zh-CN.vtt	2.7 KB
10. Color Images--XbXiiGQ9gw.en.vtt	3.0 KB
04. 09. Training a Model-m4GVfwVkj74.en.vtt	3.1 KB
21. Labeled Data and Accuracy-FN96OM_JGyM.zh-CN.vtt	4.5 KB
30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.zh-CN.vtt	5.0 KB
21. Labeled Data and Accuracy-FN96OM_JGyM.en.vtt	5.1 KB
26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.zh-CN.vtt	5.2 KB
30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.en.vtt	5.8 KB
26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.en.vtt	5.9 KB
index.html	6.4 KB
08. Images as Grids of Pixels-RVNiaZuv6Ss.zh-CN.vtt	6.4 KB
17. Color Spaces and Transforms-B350aJVSsFc.zh-CN.vtt	7.0 KB
08. Images as Grids of Pixels-RVNiaZuv6Ss.en.vtt	7.1 KB
17. Color Spaces and Transforms-B350aJVSsFc.en.vtt	7.7 KB
07. Image Formation.html	8.2 KB
13. Color Thresholds.html	8.2 KB
06. AffdexMe Demo.html	8.5 KB
17. Color Spaces and Transforms.html	8.7 KB
15. Notebook Blue Screen.html	8.8 KB
16. Notebook Green Screen.html	8.8 KB
29. Notebook Classification.html	8.8 KB
18. Notebook Color Conversion.html	8.8 KB
12. Notebook Visualizing RGB Channels.html	8.8 KB
09. Notebook Images as Numerical Data.html	8.8 KB
20. Notebook Load and Visualize the Data.html	8.8 KB
31. Notebook Accuracy and Misclassification.html	8.8 KB
25. Notebook Standardizing Day and Night Images.html	8.8 KB
27. Notebook Average Brightness Feature Extraction.html	8.9 KB
08. Images as Grids of Pixels.html	8.9 KB
11. Color or Grayscale.html	9.3 KB
02. Emotional Intelligence.html	9.5 KB
01. Intro to Pattern Recognition.html	9.5 KB
19. Day and Night Classification Challenge.html	9.6 KB
10. Color Images.html	9.7 KB
22. Distinguishing Traits.html	9.7 KB
26. Average Brightness.html	9.7 KB
28. Classification.html	9.8 KB
32. Review and the Computer Vision Pipeline.html	9.8 KB
23. Features.html	9.9 KB
14. Coding a Blue Screen.html	9.9 KB
30. Evaluation Metrics.html	10.3 KB
14. Coding A Blue Screen-jeeDryFxodk.zh-CN.vtt	10.6 KB
04. Training a Model.html	10.7 KB
24. Standardizing Output.html	11.0 KB
21. Labeled Data and Accuracy.html	11.0 KB
14. Coding A Blue Screen-jeeDryFxodk.en.vtt	11.5 KB
03. Computer Vision Pipeline.html	11.7 KB
05. Separating Data.html	13.6 KB
03. 08. Computer Vision Pipeline-64hFcqhnNow.mp4	2.9 MB
01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4	4.1 MB
07. Image Formation-6ZVnQYzfpis.mp4	4.6 MB
28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4	6.9 MB
13. Color Thresholds-08ZlYZJaiUg.mp4	7.9 MB
04. 09. Training a Model-m4GVfwVkj74.mp4	8.4 MB
10. Color Images--XbXiiGQ9gw.mp4	10.1 MB
17. Color Spaces and Transforms-B350aJVSsFc.mp4	10.4 MB
23. Nd113 C7 29 L Features-HshygbfQylA.mp4	10.5 MB
02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4	11.4 MB
14. Coding A Blue Screen-jeeDryFxodk.mp4	12.0 MB
06. AffdexMe Demo-dpFtXDqakvY.mp4	14.6 MB
21. Labeled Data and Accuracy-FN96OM_JGyM.mp4	15.4 MB
26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4	22.2 MB
08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4	23.7 MB
30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4	24.9 MB
/Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/
23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.zh-CN.vtt	1.3 KB
23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt	1.5 KB
28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt	1.5 KB
03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt	1.6 KB
03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt	1.8 KB
20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt	1.8 KB
28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt	1.8 KB
20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt	1.9 KB
01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.zh-CN.vtt	2.1 KB
16. 动量-r-rYz_PEWC8.zh-CN.vtt	2.3 KB
01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.en.vtt	2.4 KB
19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt	2.5 KB
16. 动量-r-rYz_PEWC8.en.vtt	2.6 KB
16. 动量-r-rYz_PEWC8.pt-BR.vtt	2.8 KB
19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt	3.0 KB
21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt	3.1 KB
21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt	3.5 KB
16. Dropout-Ty6K6YiGdBs.zh-CN.vtt	4.2 KB
09. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt	4.7 KB
16. Dropout-Ty6K6YiGdBs.pt-BR.vtt	4.8 KB
16. Dropout-Ty6K6YiGdBs.en.vtt	4.8 KB
09. Pooling Layers-OkkIZNs7Cyc.en.vtt	5.5 KB
09. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt	5.9 KB
index.html	6.3 KB
20. Feature Maps.html	8.2 KB
05. Convolutional Layers.html	8.2 KB
19. Feature Visualization.html	8.2 KB
21. First Convolutional Layer.html	8.2 KB
09. Pooling Layers.html	8.5 KB
23. Visualizing Activations.html	8.6 KB
12. Notebook Visualizing FashionMNIST.html	8.7 KB
17. Notebook FashionMNIST, Solution 2.html	8.7 KB
15. Notebook FashionMNIST, Solution 1.html	8.7 KB
25. Notebook Visualize Your Net Layers.html	8.7 KB
10. Notebook Visualizing a Pooling Layer.html	8.7 KB
24. Notebook Feature Viz for FashionMNIST.html	8.7 KB
14. Notebook Fashion MNIST Training Exercise.html	8.7 KB
07. Notebook Visualizing a Convolutional Layer.html	8.7 KB
05. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt	8.8 KB
29. Image Classification Regression Challenges.html	9.1 KB
08. Pooling, VGG-16 Architecture.html	9.6 KB
01. Introduction to CNN Layers.html	9.9 KB
02. Review Training a Neural Network.html	10.1 KB
05. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt	10.2 KB
03. Lesson Outline and Data.html	10.3 KB
13. Training in PyTorch.html	10.7 KB
18. Network Structure.html	10.9 KB
16. Review Dropout.html	11.0 KB
04. CNN Architecture, VGG-16.html	11.1 KB
11. Fully-Connected Layers, VGG-16.html	11.4 KB
06. Defining Layers in PyTorch.html	11.5 KB
28. Summary of Feature Viz.html	12.4 KB
27. Occlusion, Saliency, and Guided Backpropagation.html	13.1 KB
22. Visualizing CNNs (Part 2).html	15.2 KB
26. Last Feature Vector and t-SNE.html	15.6 KB
16. 动量-r-rYz_PEWC8.mp4	2.2 MB
20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4	3.0 MB
23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4	3.5 MB
28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4	3.7 MB
16. Dropout-Ty6K6YiGdBs.mp4	4.4 MB
19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4	4.8 MB
01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.mp4	4.9 MB
03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4	5.3 MB
09. Pooling Layers-OkkIZNs7Cyc.mp4	6.1 MB
21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4	10.0 MB
05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4	20.8 MB
/Part 01-Module 01-Lesson 05_Feature Vectors/
03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.zh-CN.vtt	1.3 KB
03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.en.vtt	1.6 KB
04. 02 Introduction To ORB V3-WN37zcMhMas.zh-CN.vtt	1.9 KB
04. 02 Introduction To ORB V3-WN37zcMhMas.en.vtt	2.2 KB
02. Feature Vectors--PF1_MITrOw.zh-CN.vtt	2.5 KB
11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.zh-CN.vtt	2.6 KB
02. Feature Vectors--PF1_MITrOw.en.vtt	2.7 KB
11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.en.vtt	3.1 KB
05. 03 Fast V3-DCHAc6fjcVM.zh-CN.vtt	3.8 KB
10. 07 Feature Matching V2-RH05Wnl1-2A.zh-CN.vtt	3.9 KB
05. 03 Fast V3-DCHAc6fjcVM.en.vtt	4.4 KB
10. 07 Feature Matching V2-RH05Wnl1-2A.en.vtt	4.6 KB
13. Histogram of Oriented Gradients-dqe9zGtxoNM.zh-CN.vtt	4.6 KB
index.html	4.7 KB
13. Histogram of Oriented Gradients-dqe9zGtxoNM.en.vtt	5.2 KB
07. 04 Brief V4-EKIPEPpRciw.zh-CN.vtt	5.4 KB
08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.zh-CN.vtt	5.7 KB
05. FAST.html	6.0 KB
07. BRIEF.html	6.1 KB
02. Feature Vectors.html	6.1 KB
11. ORB in Video.html	6.1 KB
10. Feature Matching.html	6.1 KB
07. 04 Brief V4-EKIPEPpRciw.en.vtt	6.1 KB
04. Introduction to ORB.html	6.1 KB
03. Real-Time Feature Detection.html	6.2 KB
08. Scale and Rotation Invariance.html	6.2 KB
15. Learning to Find Features.html	6.5 KB
13. HOG.html	6.6 KB
09. Notebook Image Pyramids.html	6.7 KB
12. Notebook Implementing ORB.html	6.7 KB
14. Notebook Implementing HOG.html	6.7 KB
08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.en.vtt	6.7 KB
06. Quiz FAST Keypoints.html	7.1 KB
01. Corners and Object Detection.html	7.1 KB
02. Feature Vectors--PF1_MITrOw.mp4	2.6 MB
04. 02 Introduction To ORB V3-WN37zcMhMas.mp4	3.1 MB
13. Histogram of Oriented Gradients-dqe9zGtxoNM.mp4	4.8 MB
03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4	7.3 MB
05. 03 Fast V3-DCHAc6fjcVM.mp4	7.6 MB
07. 04 Brief V4-EKIPEPpRciw.mp4	8.3 MB
10. 07 Feature Matching V2-RH05Wnl1-2A.mp4	8.8 MB
11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4	10.2 MB
08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.mp4	11.5 MB
/Part 02-Module 01-Lesson 03_RNN's/
09. Regra da cadeia-YAhIBOnbt54.zh-CN.vtt	1.5 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
index.html	5.6 KB
16. 18 RNN Example V5 Final-MDLk3fhpTx0.pt-BR.vtt	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
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	8.3 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
01. RNN's in Computer Vision.html	10.2 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	12.9 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
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 02-Module 01-Lesson 05_Hyperparameters/
06. Number Of Iterations-TTdHpSb4DV8.zh-CN.vtt	1.5 KB
06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt	1.6 KB
06. Number Of Iterations-TTdHpSb4DV8.en.vtt	1.7 KB
02. Introduction-erwnzFD7AeE.zh-CN.vtt	2.1 KB
02. Introduction-erwnzFD7AeE.pt-BR.vtt	2.2 KB
02. Introduction-erwnzFD7AeE.en.vtt	2.4 KB
07. Number Of Hidden Units Layers-IkGAIQH5wH8.zh-CN.vtt	2.9 KB
07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt	3.1 KB
07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt	3.3 KB
08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt	3.7 KB
08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt	3.8 KB
08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt	4.0 KB
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05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt	4.9 KB
05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt	4.9 KB
05. Minibatch Size-GrrO1NFxaW8.en.vtt	5.5 KB
02. Introduction.html	5.7 KB
01. Introducing Jay.html	6.0 KB
05. Minibatch Size.html	6.0 KB
03. Learning Rate.html	6.3 KB
07. Number of Hidden Units Layers.html	6.6 KB
10. Sources References.html	6.7 KB
09. RNN Hyperparameters.html	7.0 KB
04. Learning Rate.html	7.8 KB
06. Number of Training Iterations Epochs.html	8.5 KB
03. Learning Rate-HLMjeDez7ps.zh-CN.vtt	10.4 KB
03. Learning Rate-HLMjeDez7ps.pt-BR.vtt	10.5 KB
03. Learning Rate-HLMjeDez7ps.en.vtt	12.0 KB
08. RNN Hyperparameters.html	12.1 KB
06. Number Of Iterations-TTdHpSb4DV8.mp4	1.5 MB
02. Introduction-erwnzFD7AeE.mp4	2.3 MB
07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4	3.6 MB
08. RNN Hyperparameters-yQvnv7l_aUo.mp4	4.3 MB
05. Minibatch Size-GrrO1NFxaW8.mp4	5.0 MB
03. Learning Rate-HLMjeDez7ps.mp4	10.1 MB
/Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/
05. 03 Attention Overview Encoding V2-IctAnMaVUKc.zh-CN.vtt	1.7 KB
05. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt	1.9 KB
05. 03 Attention Overview Encoding V2-IctAnMaVUKc.pt-BR.vtt	2.0 KB
02. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt	2.5 KB
08. 05 Attention Encoder V2-sphe9LDT4rA.zh-CN.vtt	2.5 KB
02. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt	2.6 KB
02. Applications seq2seq-tDJBDwriJYQ.en.vtt	2.7 KB
06. 04 Attention Overview Decoding V2-DJxiPd585GY.zh-CN.vtt	2.8 KB
08. 05 Attention Encoder V2-sphe9LDT4rA.en.vtt	2.8 KB
08. 05 Attention Encoder V2-sphe9LDT4rA.pt-BR.vtt	3.0 KB
09. 06 Attention Decoder V1-5mMz6nN9_Ss.zh-CN.vtt	3.1 KB
06. 04 Attention Overview Decoding V2-DJxiPd585GY.en.vtt	3.3 KB
06. 04 Attention Overview Decoding V2-DJxiPd585GY.pt-BR.vtt	3.4 KB
04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.zh-CN.vtt	3.4 KB
09. 06 Attention Decoder V1-5mMz6nN9_Ss.en.vtt	3.4 KB
09. 06 Attention Decoder V1-5mMz6nN9_Ss.pt-BR.vtt	3.7 KB
04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.en.vtt	3.9 KB
13. 09 Additive Attention V2-93VfVWZ-IvY.zh-CN.vtt	4.1 KB
04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.pt-BR.vtt	4.4 KB
13. 09 Additive Attention V2-93VfVWZ-IvY.pt-BR.vtt	4.6 KB
13. 09 Additive Attention V2-93VfVWZ-IvY.en.vtt	4.7 KB
02. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt	4.9 KB
02. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt	5.0 KB
16. 11 Other Attention Methods V2-VmsR9FVpQiM.zh-CN.vtt	5.2 KB
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11. 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
17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.zh-CN.vtt	5.6 KB
02. Architecture encoder decoder-dkHdEAJnV_w.en.vtt	5.6 KB
15. 10 Computer Vision Applications V3-bhWwc4BYTYc.zh-CN.vtt	5.8 KB
16. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt	6.0 KB
01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt	6.3 KB
16. 11 Other Attention Methods V2-VmsR9FVpQiM.pt-BR.vtt	6.4 KB
11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt	6.5 KB
17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.pt-BR.vtt	6.5 KB
12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.zh-CN.vtt	6.5 KB
17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt	6.6 KB
15. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt	6.6 KB
11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.pt-BR.vtt	6.9 KB
15. 10 Computer Vision Applications V3-bhWwc4BYTYc.pt-BR.vtt	6.9 KB
01. 01 Introduction To Attention V2-NCn97L5WbCY.pt-BR.vtt	7.0 KB
09. Attention Decoder.html	7.0 KB
08. Attention Encoder.html	7.0 KB
13. Additive Attention.html	7.0 KB
12. Multiplicative Attention.html	7.1 KB
01. Introduction to Attention.html	7.1 KB
04. Sequence to Sequence Recap.html	7.1 KB
06. Decoding -- Attention Overview.html	7.1 KB
05. Encoding -- Attention Overview.html	7.1 KB
17. The Transformer and Self-Attention.html	7.2 KB
20. Outro.html	7.4 KB
16. Other Attention Methods.html	7.4 KB
18. Notebook Attention Basics.html	7.4 KB
19. [SOLUTION] Attention Basics.html	7.4 KB
11. Bahdanau and Luong Attention.html	7.5 KB
03. Elective Text Sentiment Analysis.html	7.6 KB
12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.en.vtt	7.8 KB
15. Computer Vision Applications.html	8.2 KB
12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.pt-BR.vtt	8.5 KB
14. Additive and Multiplicative Attention.html	8.5 KB
02. Encoders and Decoders.html	8.9 KB
10. Attention Encoder Decoder.html	9.4 KB
07. Attention Overview.html	9.5 KB
05. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4	1.8 MB
08. 05 Attention Encoder V2-sphe9LDT4rA.mp4	2.5 MB
02. Applications seq2seq-tDJBDwriJYQ.mp4	2.6 MB
09. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4	3.3 MB
06. 04 Attention Overview Decoding V2-DJxiPd585GY.mp4	3.4 MB
04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4	3.9 MB
13. 09 Additive Attention V2-93VfVWZ-IvY.mp4	4.4 MB
02. Architecture encoder decoder-dkHdEAJnV_w.mp4	4.7 MB
16. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4	6.1 MB
17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4	6.4 MB
15. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4	6.9 MB
11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4	7.0 MB
12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4	8.4 MB
01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4	12.6 MB
/img/
legend.png	1.8 KB
example.png	17.9 KB
screen-shot-2018-05-31-at-3.54.39-pm.png	74.5 KB
screen-shot-2018-05-31-at-4.10.13-pm.png	105.7 KB
screen-shot-2018-05-31-at-4.06.11-pm.png	108.1 KB
screen-shot-2018-05-31-at-4.04.15-pm.png	167.5 KB
screen-shot-2018-05-31-at-4.02.08-pm.png	229.2 KB
screen-shot-2018-05-31-at-4.17.51-pm.png	244.1 KB
/Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/
06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt	2.0 KB
06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt	2.2 KB
06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt	2.3 KB
index.html	4.4 KB
01. Instructor.html	6.0 KB
11. Transfer Learning Solution.html	6.3 KB
08. Saving and Loading Trained Networks.html	6.8 KB
03. PyTorch Tensors.html	6.8 KB
10. Transfer Learning.html	6.8 KB
05. Training Networks.html	6.8 KB
04. Defining Networks.html	6.8 KB
07. Inference Validation.html	6.9 KB
06. Fashion-MNIST Exercise.html	6.9 KB
09. Loading Data Sets with Torchvision.html	6.9 KB
02. Introducing PyTorch.html	7.5 KB
08. Py Part 6 V1-HiTih59dCWQ.en.vtt	8.0 KB
08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt	8.1 KB
09. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt	8.8 KB
03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt	8.8 KB
03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt	9.6 KB
03. Part 1 V2-n4mbZYIfKb4.en.vtt	10.7 KB
09. PyTorch - Part 7-hFu7GTfRWks.en.vtt	10.9 KB
10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt	10.9 KB
09. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt	11.1 KB
10. Py Part 8 V1-3eqn5sgCOsY.en.vtt	13.1 KB
10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt	13.8 KB
07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt	14.2 KB
05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt	14.9 KB
05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt	17.1 KB
07. Py Part 5 V2-coBbbrGZXI0.en.vtt	17.8 KB
07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt	18.0 KB
05. Py Part 3 V2-u8hDj5aJK6I.en.vtt	18.1 KB
04. Py Part 2 V1-u50_ZyKqt8g.zh-CN.vtt	19.0 KB
04. Py Part 2 V1-u50_ZyKqt8g.pt-BR.vtt	22.6 KB
04. Py Part 2 V1-u50_ZyKqt8g.en.vtt	23.4 KB
06. PyTorch - Part 4-AEJV_RKZ7VU.mp4	3.5 MB
03. Part 1 V2-n4mbZYIfKb4.mp4	14.5 MB
09. PyTorch - Part 7-hFu7GTfRWks.mp4	15.3 MB
08. Py Part 6 V1-HiTih59dCWQ.mp4	16.7 MB
10. Py Part 8 V1-3eqn5sgCOsY.mp4	26.1 MB
07. Py Part 5 V2-coBbbrGZXI0.mp4	28.4 MB
05. Py Part 3 V2-u8hDj5aJK6I.mp4	29.7 MB
04. Py Part 2 V1-u50_ZyKqt8g.mp4	36.3 MB
/img/
sigmoid-derivative.gif	2.1 KB
screen-shot-2018-03-19-at-3.49.28-pm.png	482.9 KB
/Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/
01. Types Of Features-cJHro29nzgg.zh-CN.vtt	2.8 KB
01. Types Of Features-cJHro29nzgg.en.vtt	3.1 KB
index.html	4.5 KB
10. K-means Implementation-poKlg-aB4rU.zh-CN.vtt	4.5 KB
06. Image Contours-Wcbrl7Wr_kU.zh-CN.vtt	4.7 KB
10. K-means Implementation-poKlg-aB4rU.en.vtt	5.0 KB
06. Image Contours-Wcbrl7Wr_kU.en.vtt	5.2 KB
01. Types of Features.html	5.8 KB
09. K-means Clustering.html	5.8 KB
09. K-means Clustering-Cf_LSDCEBzk.zh-CN.vtt	6.0 KB
10. K-means Implementation.html	6.2 KB
06. Image Contours.html	6.2 KB
03. Notebook Find the Corners.html	6.4 KB
11. Notebook K-means Clustering.html	6.4 KB
07. Notebook Find Contours and Features.html	6.4 KB
08. Solution Find Contours and Features.html	6.4 KB
02. Corner Detectors.html	6.4 KB
09. K-means Clustering-Cf_LSDCEBzk.en.vtt	6.6 KB
05. Image Segmentation.html	7.0 KB
02. Corner Detectors-jemzDq07MEI.zh-CN.vtt	8.1 KB
02. Corner Detectors-jemzDq07MEI.en.vtt	9.2 KB
04. Dilation and Erosion.html	10.0 KB
01. Types Of Features-cJHro29nzgg.mp4	3.5 MB
06. Image Contours-Wcbrl7Wr_kU.mp4	5.5 MB
09. K-means Clustering-Cf_LSDCEBzk.mp4	6.3 MB
10. K-means Implementation-poKlg-aB4rU.mp4	6.6 MB
02. Corner Detectors-jemzDq07MEI.mp4	10.0 MB
/img/
vector-example.png	3.5 KB
vector-column.png	4.1 KB
copy-of-vector-example.png	7.5 KB
2vector-columns.png	7.7 KB
full-matrix.png	18.7 KB
transpose-2.png	42.6 KB
transpose-1.png	43.0 KB
matrix-multiplication-identity-reverse.png	69.2 KB
matrix-multiplication-identity-1.png	80.9 KB
matrix-multiplication-step1.png	85.7 KB
matrix-multiplication-step2.png	86.5 KB
matrix-multiplication-transpose-1.png	90.5 KB
matrix-multiplication-step4.png	96.5 KB
matrix-addition.png	191.0 KB
/Part 04-Module 01-Lesson 01_Applying Deep Learning Models/
index.html	3.8 KB
04. Books to Read.html	6.0 KB
02. DeepTraffic.html	6.3 KB
03. Flappy Bird.html	6.8 KB
02. Navegação de tráfico 3-az5ElmV4DhY.en.vtt	7.5 KB
02. Navegação de tráfico 3-az5ElmV4DhY.zh-CN.vtt	7.6 KB
02. Navegação de tráfico 3-az5ElmV4DhY.pt-BR.vtt	7.8 KB
02. Navegação de tráfico 3-az5ElmV4DhY.en-US.vtt	7.9 KB
01. Style Transfer.html	12.4 KB
02. Navegação de tráfico 3-az5ElmV4DhY.mp4	40.0 MB
/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/
KaTeX_Size3-Regular.woff2	3.9 KB
KaTeX_Size3-Regular.woff	4.8 KB
KaTeX_Size4-Regular.woff2	5.2 KB
KaTeX_Size2-Regular.woff2	5.6 KB
KaTeX_Size1-Regular.woff2	5.8 KB
KaTeX_Size4-Regular.woff	6.5 KB
KaTeX_Size2-Regular.woff	6.7 KB
KaTeX_Size1-Regular.woff	7.0 KB
KaTeX_Size3-Regular.ttf	8.4 KB
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KaTeX_Caligraphic-Bold.woff2	10.6 KB
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KaTeX_Caligraphic-Bold.woff	12.1 KB
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KaTeX_Size2-Regular.ttf	12.4 KB
KaTeX_Size1-Regular.ttf	13.2 KB
KaTeX_Script-Regular.woff	13.9 KB
KaTeX_SansSerif-Regular.woff2	14.0 KB
KaTeX_SansSerif-Italic.woff2	15.2 KB
KaTeX_SansSerif-Bold.woff2	16.0 KB
KaTeX_SansSerif-Regular.woff	16.8 KB
KaTeX_Typewriter-Regular.woff2	17.5 KB
KaTeX_SansSerif-Italic.woff	18.1 KB
KaTeX_Caligraphic-Regular.ttf	19.0 KB
KaTeX_SansSerif-Bold.woff	19.2 KB
KaTeX_Caligraphic-Bold.ttf	19.6 KB
KaTeX_Fraktur-Regular.woff2	19.9 KB
KaTeX_Math-BoldItalic.woff2	20.0 KB
KaTeX_Math-Italic.woff2	20.4 KB
KaTeX_Fraktur-Bold.woff2	20.5 KB
KaTeX_Typewriter-Regular.woff	20.9 KB
KaTeX_Main-BoldItalic.woff2	22.2 KB
KaTeX_Fraktur-Regular.woff	22.8 KB
KaTeX_Main-Italic.woff2	23.1 KB
KaTeX_Math-BoldItalic.woff	23.2 KB
KaTeX_Fraktur-Bold.woff	23.4 KB
KaTeX_Math-Italic.woff	23.8 KB
KaTeX_Script-Regular.ttf	24.9 KB
KaTeX_Main-BoldItalic.woff	26.2 KB
KaTeX_Main-Italic.woff	27.2 KB
KaTeX_SansSerif-Regular.ttf	30.2 KB
KaTeX_Main-Bold.woff2	30.6 KB
KaTeX_SansSerif-Italic.ttf	31.3 KB
KaTeX_Main-Regular.woff2	32.9 KB
KaTeX_AMS-Regular.woff2	33.2 KB
KaTeX_SansSerif-Bold.ttf	34.0 KB
KaTeX_Fraktur-Regular.ttf	34.7 KB
KaTeX_Fraktur-Bold.ttf	36.0 KB
KaTeX_Typewriter-Regular.ttf	36.3 KB
KaTeX_Main-Bold.woff	36.8 KB
KaTeX_Main-Regular.woff	39.4 KB
KaTeX_Math-BoldItalic.ttf	39.7 KB
KaTeX_AMS-Regular.woff	40.2 KB
KaTeX_Math-Italic.ttf	41.4 KB
KaTeX_Main-BoldItalic.ttf	44.8 KB
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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screen-shot-2017-10-27-at-1.29.13-pm.png	2.6 MB
/Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/
index.html	3.9 KB
05. Project Solution.html	5.1 KB
03. Project Code.html	5.7 KB
06. Solution Code.html	5.7 KB
02. Project Walk Through.html	5.8 KB
04. GCC Flags.html	6.1 KB
01. Overview.html	9.0 KB
02. Nd113 Running The Project V1--X1pB-HTdnQ.zh-CN.vtt	21.4 KB
02. Nd113 Running The Project V1--X1pB-HTdnQ.en.vtt	22.6 KB
02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4	84.3 MB
/Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS/
index.html	4.0 KB
02. Create an AWS Account.html	6.0 KB
04. Apply Credits.html	6.7 KB
01. Overview.html	7.0 KB
03. Get Access to GPU Instances.html	8.7 KB
06. Login to an Instance.html	9.5 KB
05. Launch an Instance.html	12.8 KB
/Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection/
index.html	4.0 KB
03. Project Facial Keypoint Detection.html	5.8 KB
Project Description - Facial Keypoint Detection.html	7.7 KB
01. Project Overview.html	9.7 KB
02. Workspaces Best Practices.html	9.7 KB
Project Rubric - Facial Keypoint Detection.html	11.5 KB
/Part 03-Module 01-Lesson 09_Project Landmark Detection & Tracking (SLAM)/
index.html	4.0 KB
02. Project Landmark Detection Tracking (SLAM).html	5.8 KB
Project Description - Landmark Detection Tracking (SLAM).html	7.6 KB
01. Project Overview.html	8.5 KB
Project Rubric - Landmark Detection Tracking (SLAM).html	9.8 KB
/Part 02-Module 01-Lesson 08_Project Image Captioning/
index.html	4.1 KB
04. [submit from here] Project Image Captioning, PyTorch 0.4.html	6.0 KB
02. LSTM InputsOutputs.html	6.7 KB
Project Description - Image Captioning.html	7.0 KB
01. Project Overview.html	9.1 KB
Project Rubric - Image Captioning.html	11.3 KB
03. Introduction to GPU Workspaces.html	16.2 KB
/Part 09-Module 01-Lesson 03_Practical C++/
index.html	4.2 KB
01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt	4.4 KB
01. Introduction To Compilation-dyzGEB8YDGg.en.vtt	4.9 KB
05. Input and Output.html	6.9 KB
01. Introduction to Compilation.html	7.7 KB
07. Outputting to Text Files.html	8.0 KB
08. Exercises.html	8.0 KB
03. C++ Versions.html	9.5 KB
02. Running Code Locally.html	12.9 KB
06. Reading in Text Files.html	12.9 KB
04. Structuring Functions and File Organization.html	15.7 KB
01. Introduction To Compilation-dyzGEB8YDGg.mp4	8.3 MB
/Part 09-Module 01-Lesson 02_C++ Vectors/
index.html	4.4 KB
12. Next Lesson.html	5.8 KB
03. Python Lists vs. C++ Vectors.html	6.6 KB
10. 2D Vectors and For Loops.html	6.8 KB
05. Vector Methods.html	7.1 KB
07. Math and Vectors.html	8.6 KB
11. 2D Vector Playground.html	9.1 KB
04. Initializing Vector Values.html	9.1 KB
09. 2D Vectors.html	9.2 KB
01. C++ Vectors.html	10.1 KB
08. 1D Vector Playground.html	11.3 KB
02. Namespaces.html	11.6 KB
06. Vectors and For Loops.html	11.8 KB
/img/
diagonal-line-1.png	5.9 KB
pytorch.png	6.7 KB
diagonal-line-2.png	6.8 KB
alexnet-png.png	19.0 KB
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layer-1-grid.png	46.8 KB
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vgg-16.png	177.0 KB
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alexis.jpg	321.0 KB
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t-sne-mnist.png	1.4 MB
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embedding.gif	9.2 MB
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jupyter-logo.png	5.9 KB
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jquery.mCustomScrollbar.concat.min.js	45.5 KB
bootstrap.min.js	51.0 KB
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plyr.polyfilled.min.js	129.2 KB
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Total files 2431