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[FreeCoursesOnline.Me] UDACITY - Intro to Self-Driving Cars v1.0.0

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  2. File Size：3.62 GB
  3. Creat Time：2024-12-01
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  5. Last Active：2024-12-01
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    [FreeCoursesOnline.Me] UDACITY - Intro to Self-Driving Cars v1.0.0

  1. Part 01-Module 03-Lesson 02_Get Ready/05. The Great Robot Race-UFGu15hCtKg.mp4 490.83 MB
  2. Part 05-Module 01-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 80.41 MB
  3. Part 08-Module 01-Lesson 01_Computer Vision and Classification/01. Meet Danny Shapiro At Nvidia-tglLnJNHSI4.mp4 51.55 MB
  4. Part 02-Module 01-Lesson 11_Robot Localization/04. Total Probability-n1EacrqyCs8.mp4 40.40 MB
  5. Part 01-Module 03-Lesson 02_Get Ready/03. Intro to Self-Driving Cars Intro To Jupyter Notebooks-0-5VG9FsdQ0.mp4 35.65 MB
  6. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/06. More Kalman Filters-hUnTg5v4tDU.mp4 35.46 MB
  7. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/19. Kalman Filter Code-X7cixvcogl8.mp4 33.73 MB
  8. Part 02-Module 01-Lesson 11_Robot Localization/02. Introduction-Uqt_pRbR8rI.mp4 32.00 MB
  9. Part 02-Module 01-Lesson 11_Robot Localization/33. Bayes' Rule-sA5wv56qYc0.mp4 29.00 MB
  10. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/08. Kalman Filter Design-KYEr4BXhD_E.mp4 27.34 MB
  11. Part 04-Module 01-Lesson 06_Translate Python to C++/05. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 26.50 MB
  12. Part 05-Module 01-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 26.50 MB
  13. Part 07-Module 01-Lesson 01_Odometers, Speedometers and Derivatives/01. Meet Phantom Auto-D6-7L9nZMPY.mp4 26.49 MB
  14. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/02. Tracking Intro-8O9GV4SUToA.mp4 25.53 MB
  15. Part 06-Module 01-Lesson 01_How to Solve Problems/38. Solution Step III-CRv1ogJYe8w.mp4 24.99 MB
  16. Part 06-Module 01-Lesson 01_How to Solve Problems/33. Best Strategy-JsMwEH8cluU.mp4 24.60 MB
  17. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/17. Gaussian Motion-X7YggdDnLaw.mp4 24.56 MB
  18. Part 08-Module 01-Lesson 01_Computer Vision and Classification/48. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 23.75 MB
  19. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/03. Kalman Filter Land-LXJ5jrvDuEk.mp4 22.64 MB
  20. Part 08-Module 01-Lesson 01_Computer Vision and Classification/13. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 22.58 MB
  21. Part 02-Module 01-Lesson 04_Conditional Probability/11. Medical Example 2-FV_hc3MzS_8.mp4 22.05 MB
  22. Part 08-Module 01-Lesson 01_Computer Vision and Classification/37. Nd113 C7 33 L Features And Classification-Ni3ocWoUDPk.mp4 21.67 MB
  23. Part 08-Module 01-Lesson 01_Computer Vision and Classification/35. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21.19 MB
  24. Part 01-Module 01-Lesson 01_Introduction/03. Meet The Team-U7OiT5kWlnQ.mp4 18.95 MB
  25. Part 01-Module 01-Lesson 01_Introduction/01. Final Teaser ISDC-j7iB0p4dOj4.mp4 18.85 MB
  26. Part 02-Module 01-Lesson 06_Bayes' Rule/08. Cancer Test-CNpSrdnYvbo.mp4 18.01 MB
  27. Part 02-Module 01-Lesson 11_Robot Localization/03. Localization-31xZhj2uPr4.mp4 17.79 MB
  28. Part 02-Module 01-Lesson 11_Robot Localization/35. Theorem of Total Probability-byZ-BzbQA5M.mp4 17.79 MB
  29. Part 02-Module 01-Lesson 11_Robot Localization/27. Sense and Move 2-rmWL_3r8MKo.mp4 17.54 MB
  30. Part 06-Module 01-Lesson 01_How to Solve Problems/36. Solution Step I-bIZgt0ttMeU.mp4 17.42 MB
  31. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/12. Parameter Update-d8UrbKKlGxI.mp4 17.31 MB
  32. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/03. Gaussian Intro-GHKKUR6tZE0.mp4 17.07 MB
  33. Part 02-Module 01-Lesson 11_Robot Localization/23. Limit Distribution Quiz-SXSafquSoW8.mp4 17.04 MB
  34. Part 02-Module 01-Lesson 06_Bayes' Rule/26. Bayes Rule Summary-RgXQ8GRsjfc.mp4 16.86 MB
  35. Part 08-Module 01-Lesson 01_Computer Vision and Classification/40. High Pass Filters-JOa9ZtV_rB4.mp4 16.34 MB
  36. Part 06-Module 01-Lesson 01_How to Solve Problems/18. Algorithm Pseudocode-Ei91QeYiG_E.mp4 16.14 MB
  37. Part 06-Module 01-Lesson 01_How to Solve Problems/09. What Are the Inputs-cAr-unfe-mg.mp4 15.82 MB
  38. Part 02-Module 01-Lesson 04_Conditional Probability/23. Summary-yepMH9VswI8.mp4 15.78 MB
  39. Part 08-Module 01-Lesson 01_Computer Vision and Classification/07. Image Classification Pipeline-jfu6aqvU1vQ.mp4 15.61 MB
  40. Part 02-Module 01-Lesson 11_Robot Localization/26. Sense and Move-K8g3Hss8Q1A.mp4 15.44 MB
  41. Part 02-Module 01-Lesson 11_Robot Localization/19. Inexact Motion 1-C3f-T9_GTpw.mp4 15.07 MB
  42. Part 02-Module 01-Lesson 06_Bayes' Rule/09. Prior And Posterior-o2Tpws5C2Eg.mp4 14.97 MB
  43. Part 08-Module 01-Lesson 01_Computer Vision and Classification/29. Labeled Data and Accuracy-FN96OM_JGyM.mp4 14.66 MB
  44. Part 03-Module 01-Lesson 02_Introduction to Kalman Filters/10. Shifting the Mean-8c479K2UCZo.mp4 14.60 MB
  45. Part 06-Module 01-Lesson 01_How to Solve Problems/30. Step Three daysBetweenDates-DOkkOsraobw.mp4 14.55 MB
  46. Part 03-Module 01-Lesson 04_Matrices and Transformation of State/04. Kalman Filter Prediciton-HTL5-0DDqE4.mp4 14.20 MB
  47. Part 02-Module 01-Lesson 11_Robot Localization/08. Probability After Sense-UFcTLCttNRI.mp4 14.05 MB
  48. Part 08-Module 01-Lesson 01_Computer Vision and Classification/04. Nd113 C7 02 L Introducing Tarin V2-us2b__pBR8Y.mp4 13.97 MB
  49. Part 08-Module 01-Lesson 01_Computer Vision and Classification/09. Learning To Classify Images-_mE0nkLPSw0.mp4 13.65 MB
  50. Part 08-Module 01-Lesson 01_Computer Vision and Classification/25. Nd113 C7 23 L HSV Conversion-GbrJi0U8T20.mp4 13.31 MB
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