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[FCO] UDACITY - Robotics Software Engineer v1.0.0
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[FCO] UDACITY - Robotics Software Engineer v1.0.0
磁力链接/BT种子简介
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文件列表
Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/10. Interview with Andra Keay, Director, Silicon Valley Robotics-VIvwKso4_sA.mp4
223.4 MB
Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/12. Interview with Cory Kidd, founder and CEO of Catalia Health-FEdQ23jNnio.mp4
218.0 MB
Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/14. Interview with Kaijen Hsiao, CTO of Mayfield Robotics-HtVyTo-s6Fs.mp4
197.8 MB
Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/03. Biologically Inspired Robots-4Gd-tkG16vo.mp4
86.8 MB
Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/05. Controls-6oBw9MLFqok.mp4
67.8 MB
Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/04. Vision-ovWPxbwkTGA.mp4
67.2 MB
Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/09. Swarm Robotics Podcast-nKMp5tyM_rs.mp4
52.2 MB
Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.mp4
50.7 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/16. 04 Soft Robotics And Food-P7c-c4O4GGA.mp4
45.5 MB
Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/12. 04 Soft Robotics And Food-P7c-c4O4GGA.mp4
45.5 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/12. Motion Planning Engineer Interview-BAD3ijRnZ0U.mp4
41.1 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/15. 05 Soft Robotics Process-3FJ5mXcBHwM.mp4
39.7 MB
Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/11. 05 Soft Robotics Process-3FJ5mXcBHwM.mp4
39.7 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/20. Soft Robotics with Rajat Mishra-F_k2ZtUxvPE.mp4
35.9 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/13. 02 Materials And Actuators-2H8rIBcDOr4.mp4
35.4 MB
Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/10. 02 Materials And Actuators-2H8rIBcDOr4.mp4
35.4 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/17. 06 State And Future Of Soft Robotics-nNcIRmtTyek.mp4
35.3 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/22. Miura Ori HS V3-bNFtPHYuODY.mp4
35.0 MB
Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4
34.1 MB
Part 01-Module 01-Lesson 02_What is a Robot/01. What Is A Robot-MooPT63kaMc.mp4
33.5 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/10. Deep Learning Engineer Interview-EcIwpFM-UYQ.mp4
30.2 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/16. Control Engineer Interview-6Wi9HBIXcpg.mp4
29.9 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/14. 03 Soft Robotics Profile-927eDRsVySE.mp4
29.2 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/18. My Project-bGw6DLQohCE.mp4
27.8 MB
Part 02-Module 05-Lesson 04_Deep RL/04. Deep Q Network-GgtR_d1OB-M.mp4
26.9 MB
Part 01-Module 03-Lesson 01_GitHub/13. Interview with Art - Part 3-M6PKr3S1rPg.mp4
26.3 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4
26.3 MB
Part 01-Module 01-Lesson 01_Welcome/02. Meet Your Instructors-3Zp2ukfskyE.mp4
25.9 MB
Part 02-Module 01-Lesson 01_Introduction to Term 2/03. Term 2 Objectives-dnAa2z6Zflw.mp4
24.7 MB
Part 03-Module 01-Lesson 02_Project Details/07. KUKA Project Walkthrough Video-eB_l8Azxykg.mp4
24.4 MB
Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1-ClLYamtaO-Q.mp4
22.8 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4
22.8 MB
Part 01-Module 01-Lesson 03_Search and Sample Return/img/rover-autonomous-example-1.gif
22.8 MB
Part 02-Module 02-Lesson 01_Inference Development/02. Nvidia DIGITS-r-GkoqePIys.mp4
22.1 MB
Part 02-Module 05-Lesson 04_Deep RL/06. Fixed Q Targets-SWpyiEezfp4.mp4
22.0 MB
Part 01-Module 12-Lesson 08_Term 1 Outro/01. Term 1 Outro V2-YHlnUpIgWTc.mp4
21.9 MB
Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4
21.6 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/12. 01 Intro-Career 1-ZLwtRdZYORg.mp4
21.4 MB
Part 02-Module 05-Lesson 02_RL Basics/22. Policies-hc3LrvaC13U.mp4
21.2 MB
Part 01-Module 01-Lesson 01_Welcome/01. The World of Robotics-J_lXNPRIwag.mp4
20.4 MB
Part 01-Module 07-Lesson 01_Perception Overview/01. Perception And Robotics--bJTOygkGPw.mp4
19.8 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/orbit-2-1.gif
19.0 MB
Part 02-Module 03-Lesson 02_Kalman Filters/06. Robot Uncertainty-5NAb2iyu2uo.mp4
18.9 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/06. Robot Pose EKF Package-1XW1VtpztGE.mp4
18.7 MB
Part 01-Module 01-Lesson 03_Search and Sample Return/img/spinning-rover.gif
18.6 MB
Part 02-Module 03-Lesson 01_Introduction to Localization/01. Localization in Robotics-AcZY7n8XPZo.mp4
18.6 MB
Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp4
18.2 MB
Part 02-Module 01-Lesson 02_The Jetson TX2/01. Introduction-qAitoH9xVl8.mp4
17.3 MB
Part 02-Module 01-Lesson 01_Introduction to Term 2/04. Term 2 Outline-AD3LDaDhJ5Y.mp4
17.2 MB
Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges-J_ggwD8zip0.mp4
16.4 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/req-challenge.gif
16.3 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/11. RQT Multiplot-ZEpVMvXC6jQ.mp4
16.2 MB
Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/lidar.gif
16.1 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/02. Sensor Fusion-Uc_MUK_olJk.mp4
15.7 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/15. 14 Rover Controls-c5Rt94YyQm0.mp4
15.6 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/05. TurtleBot Gazebo Package-huR9KRtmNAM.mp4
15.5 MB
Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.mp4
15.5 MB
Part 02-Module 01-Lesson 02_The Jetson TX2/02. Jetson Overview-i56qM6NNW9A.mp4
15.3 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/fps-2-1.gif
15.1 MB
Part 02-Module 03-Lesson 02_Kalman Filters/09. Designing 1D Kalman FIlter-5YChifc8z1M.mp4
15.1 MB
Part 02-Module 05-Lesson 02_RL Basics/14. Discounted Return-opXGNPwwn7g.mp4
15.0 MB
Part 02-Module 03-Lesson 02_Kalman Filters/15. C2L2 A15 V3-K-FobmdRMtI.mp4
14.8 MB
Part 03-Module 01-Lesson 01_Project Introduction/02. Udacity Robot Learning Lab MHS Update-MThf6RUd3Gw.mp4
14.7 MB
Part 02-Module 03-Lesson 02_Kalman Filters/02. What's A Kalman Filter-Cd5KKT7PfdE.mp4
14.6 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/01. Introducing Luis!-Oc1dUU2fa2g.mp4
14.5 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/14. Mapping and Localization Engineer Interview-rdVJZg4NJtc.mp4
14.4 MB
Part 02-Module 08-Lesson 01_Completing the Program/01. Congratulations!-ZuW_UQrH9EI.mp4
14.4 MB
Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4
13.8 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4
13.8 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/01. Introduction-AwjP4ABJjoo.mp4
13.7 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/14. 14 Ros Nodes-l4N0ToiDm9U.mp4
13.5 MB
Part 02-Module 03-Lesson 02_Kalman Filters/07. Kalman Filter Advantage-thwTZvbzAgk.mp4
13.4 MB
Part 02-Module 01-Lesson 02_The Jetson TX2/04. Jetson Setup-OY41LEFi5_A.mp4
13.4 MB
Part 02-Module 02-Lesson 01_Inference Development/01. Overview-DrRsTUzqweM.mp4
13.1 MB
Part 01-Module 07-Lesson 05_Object Recognition/04. Color Spaces-6WPGx4WAkZw.mp4
13.1 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/05. Job Descriptions-mMlV_tludkw.mp4
12.9 MB
Part 02-Module 01-Lesson 04_Lab Hardware Hello World/06. Transistor Switch Circuit-1PjhInEigOM.mp4
12.7 MB
Part 02-Module 03-Lesson 04_Monte Carlo Localization/02. What's MCL-RiFI2VzSFp8.mp4
12.4 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/topdown-2-1.gif
12.4 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/select-tool-2-1.gif
12.3 MB
Part 02-Module 01-Lesson 01_Introduction to Term 2/02. Term 2 Introduction-k1DHTEh4qVw.mp4
12.2 MB
Part 02-Module 03-Lesson 01_Introduction to Localization/03. Overview-NV1j739Tlw8.mp4
12.1 MB
Part 02-Module 03-Lesson 02_Kalman Filters/16. Introduction to EKF-dwpKthaQ6ts.mp4
11.9 MB
Part 02-Module 01-Lesson 04_Lab Hardware Hello World/03. LED Circuit-LpljUGQJkh0.mp4
11.8 MB
Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/04. Breadboard-UAY8HtXyzQ0.mp4
11.7 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/13. 13 External Library-cC_14mJUw78.mp4
11.3 MB
Part 02-Module 03-Lesson 02_Kalman Filters/14. Intro to Multidimensional KF-9Xb5WavDqKE.mp4
11.2 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/21. Final Thoughts-occ46iYHJ4I.mp4
11.1 MB
Part 01-Module 01-Lesson 01_Welcome/03. Projects You Will Build-inT5Ns2DvAs.mp4
10.9 MB
Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 01 行动者-评论者方法 RENDER V1 V1-FXhyxJzgt8U.mp4
10.9 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/07. Importance Weight-MPJVPvjruZo.mp4
10.7 MB
Part 02-Module 01-Lesson 01_Introduction to Term 2/01. Term 2 Handoff-2LWpsXSUATE.mp4
10.7 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/02. Intro to Neural Networks-mZcMUcJVcqY.mp4
10.7 MB
Part 01-Module 01-Lesson 04_Career Support Overview/03. Meet the Careers Team-cuKecPpZ7PM.mp4
10.6 MB
Part 01-Module 05-Lesson 01_Intro to Kinematics/02. Intro To Kinematics-IGnXJvLCco8.mp4
10.6 MB
Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/01. Introduction-xMmMFhMoS8M.mp4
10.6 MB
Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.mp4
10.6 MB
Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.mp4
10.5 MB
Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/03. GPIO-5kBPBKjtWsQ.mp4
10.5 MB
Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4
10.5 MB
Part 02-Module 05-Lesson 02_RL Basics/13. Cumulative Reward-ysriH65lV9o.mp4
10.4 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/01. Introduction-Z7tgQBESh7A.mp4
10.4 MB
Part 02-Module 03-Lesson 04_Monte Carlo Localization/04. Particle Filters-flFKViJI-18.mp4
10.3 MB
Part 01-Module 03-Lesson 01_GitHub/01. Introduction-Vnj2VNQROtI.mp4
10.1 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4
10.1 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/08. Perception Engineer Interview-jvJBciGU5o0.mp4
10.0 MB
Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/03. SLAM-CagI0msfEjc.mp4
10.0 MB
Part 02-Module 02-Lesson 02_Inference Applications in Robotics/01. Overview-Jn6pk-A2KXw.mp4
10.0 MB
Part 02-Module 02-Lesson 03_Project Robotic Inference/03. Picking Your Robotic Inference Idea-gDfTPZUD8dE.mp4
9.9 MB
Part 01-Module 05-Lesson 01_Intro to Kinematics/08. Principal Types Of Serial Manipulators-_i2g68BdrO0.mp4
9.8 MB
Part 01-Module 01-Lesson 03_Search and Sample Return/07. Perspective Transform-DQUkU-VaMXI.mp4
9.7 MB
Part 01-Module 01-Lesson 03_Search and Sample Return/01. Overview of the Project-c7q2IJntS1g.mp4
9.7 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.mp4
9.6 MB
Part 01-Module 07-Lesson 05_Object Recognition/08. Surface Normals-pHnb_VgjZN0.mp4
9.5 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/21. Building an Earthworm Robot-34HvCniBTIA.mp4
9.5 MB
Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4
9.4 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/20. RSEND T1P2 W Part 3 V2-0e-X7rPxRyM.mp4
9.1 MB
Part 02-Module 05-Lesson 02_RL Basics/02. Applications-CV6B84mKRNM.mp4
8.9 MB
Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/02. Battery-c4LQLIB-WYc.mp4
8.9 MB
Part 01-Module 12-Lesson 04_Convolutional Neural Networks/04. Convolutional Networks-ISHGyvsT0QY.mp4
8.8 MB
Part 01-Module 12-Lesson 03_Deep Neural Networks/15. Regularization Intro-pECnr-5F3_Q.mp4
8.7 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/moveit-demo.gif
8.7 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/05. Understanding Unified Robot Description Format-7Ot8UURxQdg.mp4
8.7 MB
Part 02-Module 03-Lesson 02_Kalman Filters/13. Multivariate Gaussian-ih69P0KJgII.mp4
8.6 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/01. 01 L Overview-QgaDYTV4478.mp4
8.6 MB
Part 01-Module 07-Lesson 05_Object Recognition/01. Intro To Object Recognition-Sy2Wk-FYSJU.mp4
8.5 MB
Part 01-Module 01-Lesson 04_Career Support Overview/02. Design Review-IlXkmoY_8Vw.mp4
8.5 MB
Part 02-Module 05-Lesson 02_RL Basics/11. Goals and Rewards, Part 2-pVIFc72VYH8.mp4
8.4 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/09. Resampling Wheel-tYuSA4I09O8.mp4
8.4 MB
Part 01-Module 12-Lesson 07_Project Follow Me/05. Collection Method1-2djhWHSiYsk.mp4
8.3 MB
Part 01-Module 12-Lesson 07_Project Follow Me/01. 02 Lesson 08 Outro 1-Lm9Y1Wl9gFY.mp4
8.1 MB
Part 02-Module 05-Lesson 02_RL Basics/03. The Setting-nh8Gwdu19nc.mp4
8.1 MB
Part 02-Module 02-Lesson 03_Project Robotic Inference/01. Intro-9e-v87sKklE.mp4
8.0 MB
Part 01-Module 01-Lesson 03_Search and Sample Return/02. Exploring the Simulator-YWiDvpjyBio.mp4
7.9 MB
Part 01-Module 01-Lesson 04_Career Support Overview/01. Careers In Robotics Catalia Health-HS8ALYfDgJw.mp4
7.9 MB
Part 02-Module 05-Lesson 02_RL Basics/img/chess-game.jpg
7.9 MB
Part 01-Module 10-Lesson 01_Introduction to Controls/03. Closed-Loop Control-6R5YT5xgYak.mp4
7.9 MB
Part 01-Module 07-Lesson 04_Clustering for Segmentation/02. Downside Of Model Fitting-ouN0KjZZrGY.mp4
7.9 MB
Part 01-Module 10-Lesson 01_Introduction to Controls/01. Overview Of Controls Engineering-NL5e9LsWItQ.mp4
7.8 MB
Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/01. Overview-duiryUlNVKQ.mp4
7.8 MB
Part 02-Module 04-Lesson 04_GraphSLAM/04. Front End Vs Back End -mLKwe-AAJc8.mp4
7.7 MB
Part 02-Module 05-Lesson 02_RL Basics/05. The Setting, Revisited-V6Q1uF8a6kA.mp4
7.7 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/09. Translation And Rotation-ZVAJmzOk5p4.mp4
7.7 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/31. Neural Networks Wrap Up-1bq6c44nQnU.mp4
7.7 MB
Part 02-Module 05-Lesson 01_Intro to RL for Robotics/02. Deep RL in Robotics-IjG_IWJdb1w.mp4
7.6 MB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/07. Composition Of Rotations-gDROQkL6sdY.mp4
7.6 MB
Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/01. Swarm Robotics Intro-tn54WOSQDtI.mp4
7.6 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/09. 08 Functions And Data Structures-eVJvHeeirwc.mp4
7.6 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Error Functions-jfKShxGAbok.mp4
7.6 MB
Part 02-Module 02-Lesson 02_Inference Applications in Robotics/02. Embedded Examples-GWEaRK6w6LM.mp4
7.5 MB
Part 02-Module 04-Lesson 04_GraphSLAM/01. Introduction-zya9-JPqkLE.mp4
7.5 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/02. Examples Of Path Planning-uIHSZ6N7Xok.mp4
7.5 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/02. 02 Welcome!-1oElWzRt-lU.mp4
7.5 MB
Part 02-Module 01-Lesson 04_Lab Hardware Hello World/01. Overview Of Hardware Lab-ZD8f8OBA5tE.mp4
7.5 MB
Part 02-Module 05-Lesson 02_RL Basics/31. Optimal Policies-2rguYpVyCto.mp4
7.5 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/06. Research The Company-rej_9D0J0-o.mp4
7.4 MB
Part 02-Module 03-Lesson 04_Monte Carlo Localization/01. Introduction-uEt_lRFqtwE.mp4
7.4 MB
Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/02. Mapping-xHOfiYhhzJ4.mp4
7.4 MB
Part 02-Module 05-Lesson 01_Intro to RL for Robotics/03. Lesson Roadmap-Kf5G6Tj1Q5A.mp4
7.3 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/15. SLAM With ROS -APwvoT_w9Cw.mp4
7.3 MB
Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/08. Point Cloud Filtering-bop3tRyvRxU.mp4
7.3 MB
Part 01-Module 03-Lesson 01_GitHub/08. Writing READMEs with Walter-DQEfT2Zq5_o.mp4
7.3 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4
7.3 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/09. 09 L Pick And Place Demo Walkthrough-FWv9YZX3mzE.mp4
7.2 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. 21 CrossEntropy Formula-azXzz_zgiac.mp4
7.2 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/18. 07 Getting Into Soft Robotics-cBmTs79s3HI.mp4
7.2 MB
Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1-XPnj3Ya3EuM.mp4
7.2 MB
Part 01-Module 05-Lesson 01_Intro to Kinematics/01. Kinematics Lessons Overview-9CqZ4TbGxJE.mp4
7.2 MB
Part 02-Module 05-Lesson 02_RL Basics/17. MDPs, Part 2-CUTtQvxKkNw.mp4
7.2 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/10. 10 Classes And Objects-r7hwI_O9SdA.mp4
7.1 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/03. 03 Overview-nJ2xSBmlYHw.mp4
7.1 MB
Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/01. Introduction-ouAVFq9QJuo.mp4
7.1 MB
Part 01-Module 07-Lesson 06_3D Perception Project/11. Outro To Perception Project-uA4bL-oku9k.mp4
7.0 MB
Part 02-Module 03-Lesson 02_Kalman Filters/04. Applications-EIOqFwzB4j8.mp4
7.0 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/11. Kuka KR210 Forward Kinematics Part 02-CNQ9CE_itBg.mp4
6.9 MB
Part 02-Module 05-Lesson 02_RL Basics/29. Action-Value Functions-KJLaRfOOPGA.mp4
6.9 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/02. Robot Class-BBEVf9csMOo.mp4
6.9 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Backpropagation V2-1SmY3TZTyUk.mp4
6.8 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/10. Error-z1pBWLzqqsc.mp4
6.8 MB
Part 02-Module 05-Lesson 01_Intro to RL for Robotics/01. Introduction-xCPwny7noOM.mp4
6.7 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/11. Graphing-VVQLjK-_b7o.mp4
6.7 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/08. Resampling-WdW72nTVT8M.mp4
6.7 MB
Part 02-Module 02-Lesson 01_Inference Development/07. Recap-oj4ot37OAj4.mp4
6.6 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/16. 16 Challenge!-3xasV08_Nzs.mp4
6.6 MB
Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/01. Introduction To Probabilistic Path Planning-msgVwQCM2C8.mp4
6.5 MB
Part 01-Module 01-Lesson 03_Search and Sample Return/04. 无人驾驶车介绍:Jupyter Notebook -0-5VG9FsdQ0.mp4
6.5 MB
Part 01-Module 10-Lesson 01_Introduction to Controls/18. Beyond The Ideal Case - Noise-tPRbY3A4qcs.mp4
6.3 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/interact-tool-2-1.gif
6.3 MB
Part 02-Module 05-Lesson 02_RL Basics/28. Optimality-j231aRV74QM.mp4
6.3 MB
Part 03-Module 01-Lesson 01_Project Introduction/01. 01 Kuka Intro-4vqn2loK3ao.mp4
6.3 MB
Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/02. Sensor Calibration-nrOwEXhHR0g.mp4
6.2 MB
Part 01-Module 07-Lesson 05_Object Recognition/02. Features-syc68KSNEJw.mp4
6.2 MB
Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/01. Intro HS V4-5VWOIx9nJ9o.mp4
6.1 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What Is Deep Learning-INt1nULYPak.mp4
6.1 MB
Part 02-Module 06-Lesson 06_Project Home Service Robot/01. Introduction-WchXpePVMuI.mp4
6.1 MB
Part 01-Module 07-Lesson 01_Perception Overview/02. The Upcoming Project-dj21r-nGqkE.mp4
6.0 MB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/04. Rotations In 3D-PWeLcv3EaTA.mp4
6.0 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/addmodel-rviz-2-3.gif
6.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4
6.0 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/09. Perception Reflection-nFFYWQxUo_U.mp4
6.0 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/20. RSEND T1P2 W Part 4 V2-o9HDo3I0arE.mp4
5.9 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/14. Outro-4bmlai26h_4.mp4
5.9 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/12. 12 Template Class-gM2Lsj3HdZg.mp4
5.9 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/05. LIDAR-mPs8gHds9Yo.mp4
5.8 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/01. Introduction-oOJEtvCGEiw.mp4
5.8 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/16. Outro-l7vdjOekQhE.mp4
5.8 MB
Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/01. Mike Intro Wth Intro Graphic--JkzOHVtsys.mp4
5.8 MB
Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/01. Intro-4oc6WDooP0U.mp4
5.8 MB
Part 02-Module 03-Lesson 02_Kalman Filters/12. 1D Kalman Filter-1nHSG4U_v2g.mp4
5.8 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/13. gmapping ROS Package-45kWFvCgTdA.mp4
5.8 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/03. IMU-nAvGt8i4KZg.mp4
5.7 MB
Part 02-Module 03-Lesson 02_Kalman Filters/01. Overview-nA7tllSCpRA.mp4
5.7 MB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/16. DH Parameter Table-4ZjPUO1Fw8I.mp4
5.7 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/17. 20 L Measuring Performance-xKn8IWxk_-U.mp4
5.7 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/02. Cameras-XgWQlqF-eV8.mp4
5.6 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. Discrete vs. Continuous-Rm2KxFaPiJg.mp4
5.6 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4
5.6 MB
Part 01-Module 07-Lesson 04_Clustering for Segmentation/14. Segmentation Summary-D6A_uCitK0c.mp4
5.6 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/12. Outro--Us3L6wJN8s.mp4
5.5 MB
Part 01-Module 10-Lesson 01_Introduction to Controls/04. PID Overview-VSF59pFNh8w.mp4
5.5 MB
Part 02-Module 05-Lesson 02_RL Basics/25. State-Value Functions-llakAjwox_8.mp4
5.5 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/01. Overview Of Sensors-vsOKFfgxILA.mp4
5.5 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/09. Rviz Package-b3_kNyi7KLY.mp4
5.5 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/04. RADAR-4LGO1YXumy8.mp4
5.4 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/07. 07 Hello, World!-dQ17TKFmvq4.mp4
5.4 MB
Part 02-Module 05-Lesson 02_RL Basics/01. Introduction-6jSFl5kxIBs.mp4
5.4 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/01. Welcome to the Course-GaCLcs60EP4.mp4
5.4 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/06. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4
5.4 MB
Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation/01. Lesson Overview-B0SVGo8JPeA.mp4
5.4 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/09. Encoders-S1V8F2A-rv8.mp4
5.3 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/24. 02 A104 A Search V5-i6OQJIFL9dA.mp4
5.3 MB
Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/01. Calibration, Filtering and Segmentation-v1GZeP9IGqE.mp4
5.3 MB
Part 01-Module 01-Lesson 02_What is a Robot/04. Action-P-tzy1C7bJU.mp4
5.3 MB
Part 02-Module 04-Lesson 04_GraphSLAM/14. Intro To 3D SLAM With RTAB Map -CbVNZ0J5Pmg.mp4
5.3 MB
Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.mp4
5.2 MB
Part 01-Module 01-Lesson 03_Search and Sample Return/03. Recording Data-E7JhZ2vYS24.mp4
5.2 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/20. RSEND T1P2 W Part 2 V2-7Q8HuGRvPto.mp4
5.2 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/06. Particle Filter-UN9e0li6W38.mp4
5.2 MB
Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/03. RGB Camera Model With Intro-VdqqnYcwLPw.mp4
5.2 MB
Part 02-Module 05-Lesson 05_DQN Lab/01. C4 L5 A01-kTKXJPzGzT0.mp4
5.2 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/measure-tool-2-1.gif
5.1 MB
Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/speckled-1.png
5.1 MB
Part 02-Module 05-Lesson 04_Deep RL/03. DQN Overview-WgiAvr7COR0.mp4
5.1 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. Error Function-V5kkHldUlVU.mp4
5.1 MB
Part 02-Module 05-Lesson 04_Deep RL/01. Introduction-avx1WeSenbg.mp4
5.1 MB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/15. DH Parameter Steps 5-8-rp0koFolTrA.mp4
5.1 MB
Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/10. Intro To Probabilistic Path Planning-CF6kz2H00ZU.mp4
5.0 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/04. One Piece Of The Puzzle-OJCCNhsuAAY.mp4
5.0 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/20. Additional Resources-kb6lgWQVvAU.mp4
5.0 MB
Part 02-Module 03-Lesson 04_Monte Carlo Localization/03. Power Of MCL-xwOWl7cGwOU.mp4
5.0 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/11. 11 Inheritance And Pointers-E3B9GHqEdj4.mp4
5.0 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/01. 01 Introducing Karim-_zF81prFQw4.mp4
5.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Combinando modelos-Boy3zHVrWB4.mp4
5.0 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/08. TurtleBot Teleop Package-zoM5A9PN6VA.mp4
5.0 MB
Part 01-Module 07-Lesson 02_Introduction to 3D Perception/01. 3D Perception-LJjPoUF1lRg.mp4
4.9 MB
Part 01-Module 12-Lesson 05_Fully Convolutional Networks/01. 00 Kelvin Intro-TORyP4mA_eg.mp4
4.9 MB
Part 02-Module 04-Lesson 04_GraphSLAM/19. Outro-PN6cQJA1N40.mp4
4.9 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. 16 Probability-hqaj7NaJWk4.mp4
4.8 MB
Part 02-Module 03-Lesson 04_Monte Carlo Localization/06. MCL The Algorithm-nNkCTQw0D_I.mp4
4.8 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/13. Motion Planning Engineer Reflection-nAc40tJP8p0.mp4
4.8 MB
Part 02-Module 02-Lesson 01_Inference Development/04. Inference Engine On TX2-3zNa1_3I0wo.mp4
4.8 MB
Part 02-Module 05-Lesson 03_Q-Learning Lab/01. Introduction-NXV-hWtXOqQ.mp4
4.8 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/02. 02 L Importance Of Mapping V1-fG2gvwinGxg.mp4
4.7 MB
Part 01-Module 10-Lesson 02_Quadrotor Control using PID/16. Outro Positional Controller-FHb6KdQG2uM.mp4
4.7 MB
Part 02-Module 04-Lesson 05_Project Map My World Robot/img/giphy.gif
4.7 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/05. 05 Ubuntu Setup-7r_E3h90ZFI.mp4
4.7 MB
Part 01-Module 07-Lesson 05_Object Recognition/18. Recognition Wrap-up-teROYZudh7c.mp4
4.7 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/10. KR210 Forward Kinematics Part 1-sh3gwZW1zAY.mp4
4.6 MB
Part 02-Module 04-Lesson 04_GraphSLAM/08. Mid-Lesson Overview -_xbQgoFqNgE.mp4
4.6 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/07. Let's Get Started-yoXAm1ix6q8.mp4
4.6 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/06. IR-cFMJ5ImfF80.mp4
4.6 MB
Part 02-Module 05-Lesson 02_RL Basics/09. The Reward Hypothesis-uAqNwgZ49JE.mp4
4.6 MB
Part 01-Module 10-Lesson 02_Quadrotor Control using PID/01. Introduction to a Positional Controller-NSbq_g9pUds.mp4
4.6 MB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/01. Setting up the Problem-kLlc5aWmPXg.mp4
4.6 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/15. Mapping and Localization Reflection-XURfouUc_9Y.mp4
4.6 MB
Part 01-Module 07-Lesson 04_Clustering for Segmentation/01. Intro to Object Segmentation-u3EHyCSWlSw.mp4
4.5 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/03. Challenges and Difficulties -nSNTCJtuO38.mp4
4.5 MB
Part 02-Module 02-Lesson 03_Project Robotic Inference/08. Project Summary--BRAUHCVEpM.mp4
4.5 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/11. Deep Learning Reflection-ASYxOkucZxI.mp4
4.5 MB
Part 01-Module 01-Lesson 02_What is a Robot/03. Decision Making-TQtZx-5xyBk.mp4
4.5 MB
Part 02-Module 03-Lesson 04_Monte Carlo Localization/07. MCL in Action-VgEGrvgty_k.mp4
4.4 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/19. Cross Entropy 1-iREoPUrpXvE.mp4
4.4 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/08. 07 Compile And Execute-yyr-V_m-zzE.mp4
4.4 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/21. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4
4.3 MB
Part 02-Module 05-Lesson 02_RL Basics/26. Bellman Equations-UgIaDMvSdUo.mp4
4.3 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/09. Let's make a deal-l1xMgirpwCU.mp4
4.3 MB
Part 02-Module 03-Lesson 02_Kalman Filters/11. State Prediction-mjBpoGmNaqU.mp4
4.3 MB
Part 01-Module 07-Lesson 06_3D Perception Project/01. Intro To Perception Project-NCSCELDGhIw.mp4
4.3 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/19. Graph Search-aA17XOlX044.mp4
4.3 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/16. Normalized Inputs And Initial Weights-WaHQ9-UXIIg.mp4
4.3 MB
Part 01-Module 12-Lesson 03_Deep Neural Networks/08. No Neurons-svA0HOjFFl0.mp4
4.3 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/08. Ultrasonic-jaISpzp7kSk.mp4
4.3 MB
Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/06. Recap-DFS1K_rz1BI.mp4
4.3 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/08. Introduction To FastSLAM -HIrt25hK-oI.mp4
4.2 MB
Part 01-Module 07-Lesson 02_Introduction to 3D Perception/06. Why RGB-D-Epy9a_7fRe4.mp4
4.2 MB
Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/06. Rapidly Exploring Random Tree(PRT)-kOS76UR7Fo8.mp4
4.2 MB
Part 02-Module 04-Lesson 04_GraphSLAM/13. Graph-SLAM At a Glance-d29m7d-DBYE.mp4
4.2 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/27. Discrete Planning Wrap-Up-UKntCcGaFNo.mp4
4.2 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/17. Control Reflection-D5ugiJVUSsw.mp4
4.2 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4
4.2 MB
Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes-Lb9e2KemR6I.mp4
4.2 MB
Part 01-Module 07-Lesson 01_Perception Overview/04. Summary-H8uVlURy03k.mp4
4.2 MB
Part 01-Module 07-Lesson 04_Clustering for Segmentation/04. K-Means Clustering-YqmIdTZ6puQ.mp4
4.2 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/21. C5 L2 A94 L BFS Part 2 V6-Z_ZvAnyfUeE.mp4
4.1 MB
Part 01-Module 07-Lesson 02_Introduction to 3D Perception/07. RGB Image Formation-1tQKqTuY8_4.mp4
4.1 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/22. 30 L Stochastic Gradient Descent-U9iEGUd9kJ0.mp4
4.1 MB
Part 02-Module 04-Lesson 04_GraphSLAM/10. Information Matrix and Information Vector -3rsLNj2fQ4Y.mp4
4.1 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/12. 15 Tensorflow CrossEntropy V1-bYDXA6XPQnM.mp4
4.1 MB
Part 02-Module 02-Lesson 01_Inference Development/05. Deploy The Model-psrSmyk55O8.mp4
4.0 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/12. The Grid-based FastSLAM Algorithm-yFKc-2j6BMs.mp4
4.0 MB
Part 02-Module 03-Lesson 02_Kalman Filters/19. Recap-a-wUWkxWPqY.mp4
4.0 MB
Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1-NBWbluSbxPg.mp4
4.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.mp4
4.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. Maximum Likelihood 2-6nUUeQ9AeUA.mp4
4.0 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/03. Your Part-nIJweu9oVV4.mp4
4.0 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/12. Kuka KR210 Forward Kinematics Part 03-nQ8PiP1BlSA.mp4
4.0 MB
Part 02-Module 04-Lesson 04_GraphSLAM/15. 3D SLAM With RTAB-Map -YpDVapcNaVw.mp4
4.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/23. Gradient Descent-rhVIF-nigrY.mp4
3.9 MB
Part 02-Module 05-Lesson 03_Q-Learning Lab/02. Q-Learning Algorithm-Yzg59NGpcZQ.mp4
3.9 MB
Part 02-Module 06-Lesson 06_Project Home Service Robot/06. Building Editor-BUCZQpflaUI.mp4
3.9 MB
Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository-qBi8Q1EJdfQ.mp4
3.9 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4
3.9 MB
Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/05. Probabilistic Roadmap (PRM)-hs9Xkujs-5M.mp4
3.9 MB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/19. My Project Reflection-ZZKRKbyX2pY.mp4
3.9 MB
Part 02-Module 03-Lesson 04_Monte Carlo Localization/08. Outro-qBd_gY5CXFM.mp4
3.9 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4
3.8 MB
Part 01-Module 10-Lesson 01_Introduction to Controls/16. Limitations Of PID-N3oWkNfx4LQ.mp4
3.8 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/14. 17 L Transition Into Practical Aspects Of Learning-bKqkRFOOKoA.mp4
3.8 MB
Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/07. High Level Frameworks-ThmsQxazSvM.mp4
3.8 MB
Part 02-Module 05-Lesson 06_Deep RL Manipulator/01. C4 L6 A01-TIAd1UvI-YU.mp4
3.8 MB
Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/12. Segmentation In Perception-cdf6kF1rBXQ.mp4
3.7 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/11. Discretization-mKWjmGt4BPs.mp4
3.7 MB
Part 02-Module 05-Lesson 04_Deep RL/02. From RL to Deep RL-7HLJ0uaR1F0.mp4
3.7 MB
Part 02-Module 05-Lesson 05_DQN Lab/06. Recap-n_ufEO7puVE.mp4
3.7 MB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/14. DH Parameter Steps 1-4-77CZQ6huL-8.mp4
3.7 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/10. Main Launch-dh1PlulCxtA.mp4
3.7 MB
Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.24-pm.png
3.7 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/10. Recap-C_CUJXF4KXc.mp4
3.6 MB
Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-ZwMY5rAAd7Q.mp4
3.6 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp4
3.6 MB
Part 01-Module 12-Lesson 03_Deep Neural Networks/01. Intro To Deep Neural Networks-SXtXg_BB4lI.mp4
3.6 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/01. Introducing Vincent!-jhalIJAcbuU.mp4
3.6 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/23. C5 L2 A102 UCS Part 2 V6-hrhu6VXEq6U.mp4
3.6 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/21. 29 L Optimizing A Logistic Classifier-U_7nO1dm2tY.mp4
3.6 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/03. First Interaction--GxyQuh5LJ8.mp4
3.6 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/11. Inverse Sensor Model-JqCjlJxmR6o.mp4
3.6 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/16. 3D Data Representations-hvkGrM-jZXA.mp4
3.5 MB
Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/12. IoU---9BTjOsO6U.mp4
3.5 MB
Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.mp4
3.5 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp4
3.5 MB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/02. Coordinate Frames And Vectors-raD9QQau9zo.mp4
3.5 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Calculating The Gradient 1 -tVuZDbUrzzI.mp4
3.5 MB
Part 02-Module 05-Lesson 03_Q-Learning Lab/06. Recap-H55YZLMz95s.mp4
3.5 MB
Part 01-Module 03-Lesson 01_GitHub/14. Participating in open source projects 2-elZCLxVvJrY.mp4
3.5 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp4
3.5 MB
Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screen-shot-2018-02-12-at-4.14.43-pm.png
3.5 MB
Part 02-Module 03-Lesson 03_Lab Kalman Filters/07. Odometry To Trajectory Package-1U-SlO_JT9s.mp4
3.4 MB
Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/cnn-embed-full-4k-half.jpg
3.4 MB
Part 01-Module 07-Lesson 04_Clustering for Segmentation/03. Clustering Intro-P9jwsy1BUnI.mp4
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Part 02-Module 04-Lesson 04_GraphSLAM/02. Graphs-a7qFQMwMb4k.mp4
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Part 01-Module 10-Lesson 01_Introduction to Controls/23. Wrap Up-s5YF2TuXM7s.mp4
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Part 02-Module 06-Lesson 02_Classic Path Planning/23. Uniform Cost Search-27mdDguSqvM.mp4
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/20. Recap-APfyE5LWCw8.mp4
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Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges Solution-2W60lfPQYZY.mp4
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/25. 1x1 Convolutions-Zmzgerm6SjA.mp4
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/02. Job Titles-nOiG177fxMc.mp4
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.mp4
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.mp4
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.09.02-pm.png
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/09. Recap-ittFKxLjdlU.mp4
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Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.mp4
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp4
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Part 02-Module 06-Lesson 06_Project Home Service Robot/09. Testing Navigation-t-0li7H131A.mp4
3.1 MB
Part 01-Module 12-Lesson 05_Fully Convolutional Networks/03. Fully Convolutional Networks-_Lh2ozg5yTs.mp4
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Part 02-Module 06-Lesson 02_Classic Path Planning/05. Continuous Representation-4Npk-v3sg2U.mp4
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Part 02-Module 02-Lesson 02_Inference Applications in Robotics/06. Recap-4DCHI_brlT4.mp4
3.1 MB
Part 02-Module 05-Lesson 06_Deep RL Manipulator/09. C4 L6 A02-T6sbJAf-Bto.mp4
3.1 MB
Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.08.11-pm.png
3.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4
3.0 MB
Part 01-Module 10-Lesson 01_Introduction to Controls/02. Open-Loop Control-p5-E3n9_ptM.mp4
3.0 MB
Part 02-Module 01-Lesson 02_The Jetson TX2/08. Recap-CwUHk7xSkkM.mp4
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4
3.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/12. 10 Error-56zJ6kEq5-Y.mp4
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Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.mp4
2.9 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp4
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Part 02-Module 04-Lesson 04_GraphSLAM/16. Visual Bag Of Words -7-T3Vo5bWnI.mp4
2.9 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/08. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.mp4
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Part 02-Module 06-Lesson 02_Classic Path Planning/26. Graph-Search Wrap-Up-tplAoLJeBS0.mp4
2.9 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/10. Training Your Logistic Classifier-WQsdr1EJgz8.mp4
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Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.mp4
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/18. 18 L Outro-aw6c0C8dCK8.mp4
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Part 02-Module 06-Lesson 02_Classic Path Planning/04. Discrete Planning-paeOudcnghM.mp4
2.8 MB
Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/arpan.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/36. CNNs Wrapup-s27rkmzx7LI.mp4
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. 17 Quiz - Cross-qtzh3pKdkzk.mp4
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/14. Multi Sensor Fusion -d9-a8Z0E8rg.mp4
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/26. Inception Module-SlTm03bEOxA.mp4
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. 09 Higher Dimensions-eBHunImDmWw.mp4
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Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.mp4
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Part 01-Module 12-Lesson 05_Fully Convolutional Networks/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4
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Part 01-Module 12-Lesson 03_Deep Neural Networks/12. Training a Deep Learning Network-CsB7yUtMJyk.mp4
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Part 01-Module 07-Lesson 05_Object Recognition/06. Histograms Of Color-ktJ1lkIxFxk.mp4
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/04. Scene Understanding-aMQREc-mP50.mp4
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Part 02-Module 06-Lesson 02_Classic Path Planning/22. L2 98 DFS Part 2 V3-2_hHQBhD1n8.mp4
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/gazebo-demo.gif
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Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-demo.gif
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/zero-2-1.gif
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/05. Correspondence-9fe6Tzx8H78.mp4
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Part 02-Module 03-Lesson 05_Build MCL in C++/13. Images-_E96yrPxVrM.mp4
2.6 MB
Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.mp4
2.6 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp4
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Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.mp4
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/focus-camera-2-1.gif
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/02. Online SLAM-bQ9aQj46cMI.mp4
2.5 MB
Part 01-Module 12-Lesson 03_Deep Neural Networks/03. Linear Models Are Limited-12AYOYDrpfQ.mp4
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Part 02-Module 06-Lesson 06_Project Home Service Robot/10. Reaching Multiple Goals-RcbjN6KFJq8.mp4
2.5 MB
Part 02-Module 01-Lesson 05_Robotics Sensor Options/07. Variable Resistors-p-7Fb6L1Qv0.mp4
2.5 MB
Part 02-Module 04-Lesson 04_GraphSLAM/17. RTAB-Map Memory Management-Cs4mO5y4xYY.mp4
2.5 MB
Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/09. Sample-Based Path Planning Wrap-Up-TMefU2S7ass.mp4
2.4 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/08. Filtering -gvSuVqEI5OI.mp4
2.4 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.mp4
2.4 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/01. Introduction-s2EjPF0Xn2w.mp4
2.4 MB
Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.mp4
2.4 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp4
2.4 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. 32 L Parameter Hyperspace!-5a3-iIhdguc.mp4
2.3 MB
Part 02-Module 03-Lesson 02_Kalman Filters/03. C2 L2 A3 History V2-K1PT5I5hro0.mp4
2.3 MB
Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance-0Hr5YwUUhr0.mp4
2.3 MB
Part 03-Module 01-Lesson 02_Project Details/02. KUKASampleCode-ZEW-gsCAWRs.mp4
2.3 MB
Part 02-Module 03-Lesson 02_Kalman Filters/05. Variations-ldg7uIhA08k.mp4
2.3 MB
Part 01-Module 01-Lesson 02_What is a Robot/02. Perception-BofRh5BrBDc.mp4
2.3 MB
Part 02-Module 03-Lesson 02_Kalman Filters/10. Measurement Update-OaLfGr8xx9Q.mp4
2.2 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Exemplo de classificação-Dh625piH7Z0.mp4
2.2 MB
Part 02-Module 06-Lesson 06_Project Home Service Robot/12. Putting It All Together-MSiU6SB__Dk.mp4
2.1 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/10. Occupancy Grid Mapping Algorithm-sDQ0KRYuPJM.mp4
2.1 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/01. Introduction to Path Planning-zSP3Bf2tZSU.mp4
2.1 MB
Part 02-Module 03-Lesson 05_Build MCL in C++/05. Noise-8oMow26fgwg.mp4
2.1 MB
Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/17. Summary of Calibration, FIltering and Segmentation-4je0BGi_WPs.mp4
2.1 MB
Part 02-Module 01-Lesson 02_The Jetson TX2/img/img-1447.jpg
2.1 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/03. Full SLAM -L7aE6TFt2zw.mp4
2.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.mp4
2.0 MB
Part 02-Module 05-Lesson 04_Deep RL/07. Recap-2F1XUtQwLZA.mp4
2.0 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/17. Octomap-9s9ibmsQ4lQ.mp4
2.0 MB
Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/13. Robot Grasping Challenge-B9KrDaOhrco.mp4
2.0 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/07. Particle Filter Approach To SLAM-0DiiZi5t75U.mp4
2.0 MB
Part 02-Module 03-Lesson 06_Project Where Am I/13. Localization Challenge-8jPBBHTXzQs.mp4
2.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.mp4
2.0 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/06. Grid Cells -WxRLYM7qHbc.mp4
2.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Multiclass Classification-uNTtvxwfox0.mp4
2.0 MB
Part 01-Module 12-Lesson 05_Fully Convolutional Networks/12. 02 Lesson 05 Outro-zVuZZPF-QQM.mp4
2.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. 12 Discrete--tPLp5JKFkk.mp4
2.0 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.mp4
2.0 MB
Part 01-Module 07-Lesson 06_3D Perception Project/img/7cans.png
1.9 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/11. Grid-based FastSLAM Techniques-0VwPYaQk98U.mp4
1.9 MB
Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/14. 02 Lesson 06 Outro 1-oHM_mW9xmI8.mp4
1.9 MB
Part 01-Module 07-Lesson 02_Introduction to 3D Perception/12. 3D Perception Summary-SVSHlRLLCFo.mp4
1.9 MB
Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/ledcircuitpic.jpeg
1.9 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/06. 06 Editor Choice-11x_6HPtsg4.mp4
1.9 MB
Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/03. Semantic Segmentation-_L5gJnZrw48.mp4
1.8 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4
1.8 MB
Part 01-Module 07-Lesson 06_3D Perception Project/img/screen-shot-2017-07-27-at-4.57.31-pm.png
1.8 MB
Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/04. Mapping with Known Poses-LST_AieoenI.mp4
1.8 MB
Part 01-Module 07-Lesson 01_Perception Overview/img/jena00.png
1.8 MB
Part 02-Module 06-Lesson 06_Project Home Service Robot/11. Modeling Virtual Objects-Gq_FTu48ytc.mp4
1.8 MB
Part 01-Module 12-Lesson 05_Fully Convolutional Networks/10. Skip Connections-JUYLA5PWzo0.mp4
1.8 MB
Part 01-Module 12-Lesson 03_Deep Neural Networks/img/04-rectified-linear-units-quiz-image-2.png
1.8 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. 18 Formula For Cross-xzabkugu2yI.mp4
1.8 MB
Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-11.36.43-am.png
1.8 MB
img/nd209-robond-hero.png
1.7 MB
Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/t-2200.png
1.7 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.mp4
1.7 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/04. 分类问题 2 -46PywnGa_cQ.mp4
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/08. Convolutions Cont.-utOv-BKI_vo.mp4
1.7 MB
Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.mp4
1.7 MB
Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4
1.7 MB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4
1.7 MB
Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/01. 01 Lesson 06 Intro-j_lRYOKDjWg.mp4
1.7 MB
Part 01-Module 01-Lesson 06_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.48.22-pm.png
1.6 MB
Part 01-Module 12-Lesson 03_Deep Neural Networks/16. Regularization-QcJBhbuCl5g.mp4
1.6 MB
Part 01-Module 10-Lesson 01_Introduction to Controls/15. PID Control Summary-VMllCpVr-08.mp4
1.6 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4
1.6 MB
Part 02-Module 06-Lesson 02_Classic Path Planning/18. 02 86 Discretization Wrap-Up-YuH5HQ7DJUE.mp4
1.6 MB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/04. 03 Transitioning-BvDvxw8e0CY.mp4
1.5 MB
Part 01-Module 12-Lesson 05_Fully Convolutional Networks/11. FCNs In The Wild-q9wTd53-hsw.mp4
1.5 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. 14 Quiz - Softmax-DqNlVmt_0qs.mp4
1.5 MB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Chain Rule-YAhIBOnbt54.mp4
1.5 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/04. Let'S Get Started-ySIDqaXLhHw.mp4
1.5 MB
Part 01-Module 12-Lesson 07_Project Follow Me/img/start-run-spawns.png
1.5 MB
Part 01-Module 12-Lesson 07_Project Follow Me/img/run-setup.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/15. Probabilistic Path Planning Wrap-Up-6HqAXjlA3no.mp4
1.5 MB
Part 01-Module 12-Lesson 07_Project Follow Me/img/recording.png
1.4 MB
Part 02-Module 04-Lesson 04_GraphSLAM/03. Constraints-oo6G_ABDa80.mp4
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Part 02-Module 06-Lesson 02_Classic Path Planning/21. Breadth-First Search-5JUpzI75iuk.mp4
1.4 MB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/18. 21 Validation And Test Set V2-iC2QOiavbrw.mp4
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Part 01-Module 12-Lesson 07_Project Follow Me/img/quad-start.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/spawn-points.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/25. Non-Linear Regions-B8UrWnHh1Wc.mp4
1.4 MB
Part 01-Module 12-Lesson 07_Project Follow Me/img/overhead-view.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/08. 06 L Supervised Classification-XTGsutypAPE.mp4
1.4 MB
Part 01-Module 01-Lesson 03_Search and Sample Return/img/rock-pickup2.gif
1.4 MB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/arm-step-2.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/patrol-points3.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/quad-view-adjust.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/19. Dropout Pt. 2-8nG8zzJMbZw.mp4
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Part 01-Module 12-Lesson 07_Project Follow Me/img/patrol-points1.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/patrol-points-removed.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/22. Depth-First Search-MxdxqfN1-P8.mp4
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/07. Path Smoothing -R20Mpz5y7-w.mp4
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/02. Bounding Boxes-uPv4d0Xl8hc.mp4
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Part 01-Module 12-Lesson 03_Deep Neural Networks/05. Network Of ReLUs-mJk1UvhDb1g.mp4
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Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/img/screen-shot-2017-10-31-at-1.06.42-pm.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/arch.png
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/orig-and-undist.png
1.3 MB
Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper1.png
1.2 MB
Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/convolutionalnetworksquiz.png
1.2 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/nd209-c3l3-a06-l-slam-challenges-2.jpg
1.2 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/fk.png
1.2 MB
Part 01-Module 12-Lesson 07_Project Follow Me/img/hero-path.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Solution-W4xtf8LTz1c.mp4
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Part 01-Module 12-Lesson 05_Fully Convolutional Networks/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.mp4
1.2 MB
Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/nd209-c3-l3-a05-correspondence-1.jpg
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/26. Non-Linear Models-HWuBKCZsCo8.mp4
1.2 MB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/rviz-demo.gif
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/arm-step-1.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/19. 22 Validation Quiz-mSeTBws1MbA.mp4
1.1 MB
Part 02-Module 04-Lesson 05_Project Map My World Robot/img/boot-view.png
1.1 MB
Part 01-Module 07-Lesson 01_Perception Overview/img/screen-shot-2017-07-01-at-11.08.18-am.png
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Part 02-Module 06-Lesson 06_Project Home Service Robot/08. Wall Follower-fVsCxbpv6Ls.mp4
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Part 01-Module 12-Lesson 07_Project Follow Me/img/following.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/07. 为何是神经网络-zAkzOZntK6Y.mp4
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Part 02-Module 01-Lesson 02_The Jetson TX2/img/ipconfig-inethighlight.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/start-recording.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-22-22-36-18.png
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/screen-shot-2017-08-10-at-11.27.06-am.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/20. 23 Validation Set Size Continued-cXj-FLdPGgg.mp4
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Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-26-at-2.19.13-pm.png
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Part 02-Module 03-Lesson 02_Kalman Filters/10. Measurement Update In 1D (Post Quiz) -cKEVFynbJfs.mp4
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Part 01-Module 12-Lesson 05_Fully Convolutional Networks/07. Transposed Convolutions-K6mlLX8ZZDs.mp4
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/nd209-c3l3-a10-l-adapting-fastslam-to-grid-maps-1.jpg
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/gazebo-model.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color-Question-BdQccpMwk80.mp4
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Part 02-Module 03-Lesson 02_Kalman Filters/img/multivariate-gaussian.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/fashion-mnist-sprite.png
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Part 01-Module 01-Lesson 04_Career Support Overview/img/get-hired-with-the-udacity-career-portal.gif
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.00.25-pm.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/student-quiz.png
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Part 03-Module 01-Lesson 02_Project Details/img/screen-shot-2018-07-27-at-12.22.10-pm.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/screen-shot-2017-09-07-at-4.25.57-pm.png
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/img-1150-multimeter.jpg
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Part 01-Module 03-Lesson 01_GitHub/img/6509638772.gif
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/img/6509638772.gif
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature-Map-Sizes-Question-lp1NrLZnCUM.mp4
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Part 02-Module 06-Lesson 05_Research in Navigation/img/screen-shot-2018-04-18-at-7.45.22-pm.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/test3-world.png
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-06-29-at-11.18.05-am.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/paper2.png
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Part 01-Module 01-Lesson 06_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.38.47-pm.png
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Part 02-Module 02-Lesson 02_Inference Applications in Robotics/img/tradeoff-2.png
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-ip.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-107-img-bidirectional-v2.png
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/screenshot-from-2017-12-21-00-04-46.png
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/09. Swarm Robotics Podcast-nKMp5tyM_rs.en.vtt
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/14. Interview with Kaijen Hsiao, CTO of Mayfield Robotics-HtVyTo-s6Fs.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.50.54-pm.png
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Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-25-at-5.51.40-pm.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/convolution-schematic.gif
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/screen-shot-2017-07-05-at-12.24.46-pm.png
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-05-at-12.24.46-pm.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/sensor-stick-error.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/sensor-stick-error.png
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/img/gpio-table-r1.png
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/gpio-table-r1.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/img/points.png
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/img/autonomous-systems.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/img/dropout-node.jpeg
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/cross-entropy-diagram.png
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2018-08-15-at-5.07.03-pm.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-20-at-4.37.45-pm.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-read-banner.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/screen-shot-2017-09-07-at-12.49.55-pm.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/9.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/screen-shot-2018-02-22-at-7.28.47-pm.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-do-banner.png
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/rviz-ex2-2.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/do-build-robotr-01.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-07.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-05.png
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assets/css/fonts/KaTeX_Main-Bold.ttf
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/setupa.png.jpeg
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/img/nv-rl-stack-diagram.jpg
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/watch-concepts-01.png
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/watch-concepts-01.png
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/img/watch-concepts-01.png
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-13-at-12.53.47-pm.png
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Part 02-Module 02-Lesson 01_Inference Development/img/imagenet-apple.jpg
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-03-at-7.51.28-pm.png
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-25-at-2.39.28-pm.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/read-papersr-01.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-21-09-42-45.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-08.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/screen-shot-2017-07-31-at-9.52.41-am.png
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Part 03-Module 01-Lesson 02_Project Details/img/screen-shot-2018-08-16-at-6.42.50-pm.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/screen-shot-2016-11-24-at-12.49.08-pm.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/explores-watch-banner.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/8.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-74-v2.png
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Part 02-Module 05-Lesson 04_Deep RL/img/screen-shot-2018-03-03-at-8.00.46-pm.png
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-12.02.03-pm.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-08-02-at-4.18.53-pm.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/explores-read-banner.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-11.32.40-am.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-73-v2.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/c5-l3-image-for-above-v4.gif
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Part 01-Module 12-Lesson 07_Project Follow Me/img/14.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/l3c13-gmapping-ros-package.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/explores-do-banner.png
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/screen-shot-2017-11-21-at-1.50.26-pm.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/notmnist.png
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Part 01-Module 12-Lesson 03_Deep Neural Networks/img/notmnist.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/heirarchy-diagram.jpg
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c5-03-maximum-likelihood-v2.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/10. Interview with Andra Keay, Director, Silicon Valley Robotics-VIvwKso4_sA.en.vtt
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/moveit-logo-large.png
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Part 02-Module 02-Lesson 03_Project Robotic Inference/img/digitslogo.png
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Part 02-Module 02-Lesson 01_Inference Development/img/imagenet-digits-model-download.png
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Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-25-at-9.18.00-pm.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-06.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/do-metamaterials-01.png
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/rviz.png
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Part 02-Module 03-Lesson 06_Project Where Am I/img/rviz.png
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Part 02-Module 03-Lesson 02_Kalman Filters/img/c2l2-a08-rover.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/explores-watch-banner2.png
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/img/screenshot-from-2017-08-01-13-50-18.png
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Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-2.43.07-pm.png
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assets/js/bootstrap.min.js
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Part 01-Module 12-Lesson 07_Project Follow Me/img/13.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-62-graph-v2.png
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/11-l-inverse-kinematics-with-kuka-kr210-03.png
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/gazebo-mouse.png
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-vm-windows.png
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/02-in-depth-look-at-3d-sensors-and-sensing-techniques-t-d-8-v2.jpg
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Part 01-Module 12-Lesson 07_Project Follow Me/img/7.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/mayfield-robotics-logo.jpg
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Part 01-Module 01-Lesson 04_Career Support Overview/img/udacitylogo.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/l3c10-adapting-fastslam-to-grid-maps-01.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c5-05-maximum-likelihood-v2.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/workspaces-terminal.png
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assets/css/fonts/KaTeX_Main-Italic.ttf
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/11-l-inverse-kinematics-with-kuka-kr210-01.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/layer-1-grid.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/objects.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/11.png
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/11. Inverse Sensor Model.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/11-l-inverse-kinematics-with-kuka-kr210-02.png
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assets/js/jquery.mCustomScrollbar.concat.min.js
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/10. Occupancy Grid Mapping Algorithm.html
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-03-l-joint-types-and-degrees-of-freedom-02.png
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assets/css/fonts/KaTeX_Main-BoldItalic.ttf
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-04-30-at-7.13.43-pm.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/l01-05-l-properties-of-the-principal-manipulator-types-01.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/mdpimage-53-v2.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-53-v2.png
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/screen-shot-2017-07-02-at-12.42.35-pm.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-03mle-example-images-v2.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-25-at-10.49.57-pm.png
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/pick-and-place-tf.png
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Part 02-Module 06-Lesson 05_Research in Navigation/img/screen-shot-2018-04-26-at-10.16.20-am.png
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Part 02-Module 03-Lesson 05_Build MCL in C++/06. Particle Filter .html
43.2 kB
assets/css/jquery.mCustomScrollbar.min.css
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Part 03-Module 01-Lesson 02_Project Details/img/screen-shot-2018-08-15-at-5.29.08-pm.png
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Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-3.16.47-pm.png
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assets/css/fonts/KaTeX_Math-Italic.ttf
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-65-quadtrees-image-01-v3.png
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-22-21-54-24.png
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/img/screen-shot-2017-07-03-at-9.44.10-pm.png
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assets/css/fonts/KaTeX_AMS-Regular.woff
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/untitled-presentation-1.png
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Part 01-Module 07-Lesson 06_3D Perception Project/img/filtered.png
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assets/css/fonts/KaTeX_Math-BoldItalic.ttf
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assets/css/fonts/KaTeX_Main-Regular.woff
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/anaconda-logo.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/two-dof-labeled.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/25. Quiz Mini-batch.html
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/img/c92.png
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Part 02-Module 04-Lesson 05_Project Map My World Robot/img/screenshot-from-2018-02-12-11-37-29.png
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-02-at-2.51.43-pm.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-35-configuration-space-03-v1.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/maxpool.jpeg
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/14-tcp.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/20. Soft Robotics with Rajat Mishra-F_k2ZtUxvPE.en.vtt
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/proportional-control-3-slide1.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/4.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c5-01-maximum-likelihood-v2.png
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assets/css/fonts/KaTeX_Main-Bold.woff
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/screenshot-from-2017-06-22-21-51-39.png
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assets/css/fonts/KaTeX_Typewriter-Regular.ttf
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/softmax.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/grid-layer-1.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-22-minkowski-sum-01-v1.png
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2018-08-15-at-5.07.43-pm.png
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assets/css/fonts/KaTeX_Fraktur-Bold.ttf
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Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-2.33.19-pm.png
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Part 02-Module 05-Lesson 03_Q-Learning Lab/img/screen-shot-2018-03-07-at-3.53.08-pm.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/l01-19-l-forward-kinematics-01.png
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-20-at-4.43.05-pm.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-9.00.19-pm.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/img/aperspective.jpg
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assets/css/fonts/KaTeX_Fraktur-Regular.ttf
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-33-configuration-space-02-v1.png
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/3.png
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Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot-base-castors.png
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assets/css/fonts/KaTeX_SansSerif-Bold.ttf
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Part 01-Module 01-Lesson 03_Search and Sample Return/img/screen-shot-2017-05-03-at-7.45.26-pm.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-04mle-example-images-v3.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/05-dynamic-reconfigure-and-rqt-plots-03.png
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assets/css/fonts/KaTeX_AMS-Regular.woff2
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Part 01-Module 01-Lesson 01_Welcome/img/schedule.png
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Part 02-Module 01-Lesson 01_Introduction to Term 2/img/schedule.png
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Part 02-Module 06-Lesson 03_Lab Path Planning/img/path.png
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assets/css/fonts/KaTeX_Main-Regular.woff2
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons-3.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-02mle-example-images-v2.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/maxresdefault.jpg
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Part 01-Module 12-Lesson 03_Deep Neural Networks/img/relu-network.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-2.03.06-pm.png
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/img/dash-logo-wide-blackorange-1152x111px.png
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/proportional-control-3-slide2.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/session.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-09-img-image-of-discrete-v1.png
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assets/css/fonts/KaTeX_SansSerif-Italic.ttf
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Part 02-Module 06-Lesson 03_Lab Path Planning/img/path-2.png
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/img/map.png
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/img/chessboardpattern.jpg
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-3.22.57-pm.png
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/img/keras-logo.jpg
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assets/css/fonts/KaTeX_Main-Bold.woff2
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons-2-v3.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-67-exact-cell-decomposition-applied-v4.png
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assets/css/fonts/KaTeX_SansSerif-Regular.ttf
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Part 01-Module 07-Lesson 05_Object Recognition/img/screen-shot-2017-07-21-at-8.47.56-am.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/c5-l3-img-sample-based-planning-v2.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-04-at-4.28.13-pm.png
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/screen-shot-2017-06-01-at-3.09.54-pm.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/minkowski-sum-final.png
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/12.png
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/pros-cons-1-v3.png
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-47-v1.png
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/img/06-l-supervised-classification-391-1.jpg
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Part 02-Module 05-Lesson 02_RL Basics/img/screen-shot-2017-09-20-at-12.02.06-pm.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-32-configuration-space-01-v1.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-83-img-local-minima-cspace-v2.png
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Part 02-Module 06-Lesson 02_Classic Path Planning/img/c5-l2-24-minkowski-sum-02-v1.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/15.png
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Part 01-Module 12-Lesson 07_Project Follow Me/img/big-data-360x193.jpg
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Part 02-Module 03-Lesson 06_Project Where Am I/img/gazebo-robot-color.png
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-1.gif
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assets/css/fonts/KaTeX_Main-Italic.woff
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Part 02-Module 03-Lesson 05_Build MCL in C++/10. Error .html
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/07-cascade-pid-control.png
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Part 02-Module 04-Lesson 04_GraphSLAM/img/l4c6-01mle-example-images-v2.png
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/img/screen-shot-2017-10-22-at-11.23.59-pm.png
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Part 02-Module 06-Lesson 05_Research in Navigation/img/a3cworkers.png
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assets/css/fonts/KaTeX_Main-BoldItalic.woff
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/img/mdpimage-v5.gif
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/img/max-pooling.png
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/foptd-1.png
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/05. Exploring Gazebo User Interface.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/11. Tensorflow Softmax.html
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Part 01-Module 07-Lesson 06_3D Perception Project/10. Common Questions.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/15. Rover Control.html
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Part 02-Module 02-Lesson 03_Project Robotic Inference/05. Importance of Documentation.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/05. Installing Tensorflow.html
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Part 01-Module 12-Lesson 07_Project Follow Me/08. Udacity GPU Workspace Introduction.html
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Part 03-Module 01-Lesson 01_Project Introduction/04. Contest Terms Conditions.html
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/22. Project Instructions.html
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Part 02-Module 04-Lesson 04_GraphSLAM/12. Nonlinear Constraints.html
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Part 02-Module 06-Lesson 06_Project Home Service Robot/04. Shell Scripts.html
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/10. Publish Your Point Cloud.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/14. More Decisions.html
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Part 02-Module 03-Lesson 06_Project Where Am I/05. RViz Integration.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/09. Final Considerations.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/13. DH Parameter Assignment Algorithm.html
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/13. IoU Quiz.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/18. Beyond the Ideal Case - Noise.html
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Part 01-Module 07-Lesson 05_Object Recognition/17. Object Recognition.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/12. Ubuntu Install and Common Troubleshooting.html
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Part 01-Module 01-Lesson 04_Career Support Overview/img/screen-shot-2017-10-27-at-1.49.58-pm.png
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Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/img/career-portal-sidebar.png
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/13. gmapping ROS Package.html
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Part 01-Module 07-Lesson 05_Object Recognition/16. Improve Your Model.html
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Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.pt-BR.vtt
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Part 03-Module 01-Lesson 02_Project Details/08. Hints.html
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/05. Motors and Sensors.html
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Part 01-Module 12-Lesson 07_Project Follow Me/Project Rubric - Follow Me.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/23. Uniform Cost Search.html
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Part 01-Module 07-Lesson 05_Object Recognition/15. Train Your SVM.html
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/15. DO Lab - Build a Robot Prototype Under $25.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/10. 3D Configuration Space.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/13. Forward Kinematics with Kuka KR210.html
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Part 01-Module 12-Lesson 03_Deep Neural Networks/14. Finetuning.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/07. Feature Map Sizes.html
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Part 02-Module 06-Lesson 05_Research in Navigation/04. Actor-Critic Quiz.html
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/21. DO Lab - Make an Earthworm.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/08. Proportional Control 3.html
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Part 01-Module 10-Lesson 01_Introduction to Controls/10. PI Control.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/14. Debugging Forward Kinematics.html
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Part 02-Module 02-Lesson 01_Inference Development/04. Inference on the Jetson.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/19. TensorFlow Max Pooling.html
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/10. Lab Decoder.html
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Part 01-Module 05-Lesson 01_Intro to Kinematics/07. Joint Types.html
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Part 01-Module 06-Lesson 01_Udacity Explores - Human Robot Interaction Robot Ethics/img/pb69safjwk6kovqq0vfj.png
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Part 02-Module 06-Lesson 05_Research in Navigation/02. Navigation with Deep RL.html
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Part 02-Module 03-Lesson 04_Monte Carlo Localization/05. Bayes Filtering.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/11. Going Above and Beyond - Other RTAB-Map Features.html
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Part 02-Module 04-Lesson 04_GraphSLAM/11. Inference.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/13. Visibility Graph.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/28. Understanding Jupyter Workspaces.html
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/01. Prove Your Skills With GitHub.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/09. Pick and Place Demo Walkthrough.html
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/img/resistors.png
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/07. Profile Essentials.html
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/08. Lab Encoder.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/06. Hello, Tensor World!.html
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Part 02-Module 03-Lesson 02_Kalman Filters/12. 1D Kalman Filter.html
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Get Opportunities with LinkedIn.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/06. Rotations in Sympy.html
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Part 01-Module 12-Lesson 07_Project Follow Me/04. Collecting your Data.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/03. Telemetry and Record Data.html
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Part 01-Module 07-Lesson 06_3D Perception Project/08. PR2 Collision Avoidance.html
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/11. Pass Through Filtering.html
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/12. DO Lab .html
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Part 02-Module 03-Lesson 02_Kalman Filters/13. Multivariate Gaussian.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/17. TensorFlow Convolution Layer.html
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Part 02-Module 05-Lesson 02_RL Basics/08. Quiz Episodic or Continuing.html
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/17. Control Engineer Reflection.html
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/11. WATCH Concepts in Action.html
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Part 01-Module 07-Lesson 06_3D Perception Project/Project Rubric - 3D Perception.html
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/12. dynamic_reconfigure.html
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/08. Introduction to LSTMs.html
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/15. MappingLocalization Engineer Reflection.html
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Part 02-Module 06-Lesson 06_Project Home Service Robot/11. Modeling Virtual Objects.html
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Part 01-Module 07-Lesson 05_Object Recognition/03. Feature Intuition.html
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/point-xyzrgb-v2.png
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/13. Motion Planning Engineer Reflection.html
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Part 01-Module 12-Lesson 07_Project Follow Me/09. Udacity Workspace Best Practices.html
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/11. Deep Learning Engineer Reflection.html
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/19. My Own Project Reflection.html
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/11. Hover Controller.html
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/09. Perception Engineer Reflection.html
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/06. Lab Getting Started.html
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Part 02-Module 05-Lesson 06_Deep RL Manipulator/07. Gazebo Arm Plugin.html
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/06. K-means quizzes.html
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/05. Posterior Probability.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/09. Functions and Data Structures.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/11. Solution Convolution Output Shape.html
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/08. Filtering.html
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile.html
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Part 02-Module 05-Lesson 02_RL Basics/02. Applications.html
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Part 03-Module 01-Lesson 02_Project Details/06. Submission Instructions.html
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Part 02-Module 02-Lesson 03_Project Robotic Inference/02. Practicing the DIGITS Workflow.html
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Part 02-Module 05-Lesson 05_DQN Lab/02. PyTorch Intro.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/20. Cross-Entropy 2.html
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/09. Build and Strengthen Your Network.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/02. Setting up your environment.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/02. Examples of Path Planning.html
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Part 02-Module 03-Lesson 04_Monte Carlo Localization/07. MCL in Action.html
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/12. Generate the Map.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/15. Cell Decomposition.html
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/02. Why Sample-Based Planning.html
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/16. 04 Soft Robotics And Food-P7c-c4O4GGA.en.vtt
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/12. 04 Soft Robotics And Food-P7c-c4O4GGA.en.vtt
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Part 01-Module 12-Lesson 05_Fully Convolutional Networks/04. Fully Connected to 1x1 Convolution.html
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/15. Extracting Indices.html
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Part 01-Module 11-Lesson 02_Networking in Robotics/03. Networking Next Steps.html
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Part 01-Module 01-Lesson 03_Search and Sample Return/13. Environment Setup (Local).html
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/sensor-specs-1.png
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/20. Pooling Intuition.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/27. Lab TensorFlow Neural Network.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/14. Discrete vs Continuous.html
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Part 02-Module 02-Lesson 02_Inference Applications in Robotics/04. SpeedAccuracy Tradeoff.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/17. Maximum Likelihood.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/29. Solution TensorFlow Convolution Layer.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/21. Quiz Pooling Mechanics.html
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Part 02-Module 03-Lesson 06_Project Where Am I/10. Launching and Testing.html
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Part 02-Module 03-Lesson 03_Lab Kalman Filters/06. Robot Pose EKF Package .html
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/16. 3D Data Representations.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/14. Quiz Parameter Sharing.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/15. Quiz Numerical Stability.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/14. ROS Nodes.html
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/img/sensor-specs-2.png
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/10. WATCH Concepts in Action.html
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Part 02-Module 05-Lesson 07_Project Deep RL Arm Manipulation/Project Rubric - Deep RL Arm Manipulation.html
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/Project Description - Optimize Your GitHub Profile.html
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/09. Lab Batch Normalization.html
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Part 02-Module 05-Lesson 04_Deep RL/05. Experience Replay-wX_-SZG-YMQ.en.vtt
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Part 02-Module 04-Lesson 04_GraphSLAM/07. Numerical Solution to MLE.html
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Part 02-Module 03-Lesson 06_Project Where Am I/Project Description - Where Am I.html
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Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/10. Quiz Convolution Output Shape.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/12. Quiz Number of Parameters.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/06. Debugging in ROS - rqt common plugins.html
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/13. Lab Configuration.html
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/14. DO Lab- Dex-Net 2.0 Code.html
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/18. Requirements and Challenge.html
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Part 01-Module 07-Lesson 05_Object Recognition/11. SVM Intuitions.html
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Part 01-Module 04-Lesson 02_6 Questions on Robotics Careers/01. 6 Questions on Robotics Careers.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Error Functions-jfKShxGAbok.en.vtt
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/20. Additional Resources to Consider.html
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Part 02-Module 01-Lesson 02_The Jetson TX2/06. JetPack.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/22. Logistic Regression.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Log-loss Error Function.html
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/13. RANSAC Overview.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/01. Project Introduction.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/13. External Libraries.html
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/04. Equivalent Resistance.html
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/02. Battery.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Maximizing Probabilities.html
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/11. Commit messages best practices.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/11. Inheritance and Pointers.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/31. Solution TensorFlow Pooling Layer.html
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/Project Rubric - Optimize Your GitHub Profile.html
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Part 01-Module 12-Lesson 05_Fully Convolutional Networks/05. 1x1 Convolution Quiz .html
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Part 01-Module 10-Lesson 01_Introduction to Controls/17. Beyond the Ideal Case - Integrator Windup.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/06. Minkowski Sum.html
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/03. Quadrotor Quiz.html
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/11. Filtering and RANSAC.html
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Part 01-Module 07-Lesson 01_Perception Overview/03. Classic vs Modern Approach.html
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/09. Clustering with PCL.html
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/17. Measuring Performance.html
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Part 02-Module 05-Lesson 03_Q-Learning Lab/04. OpenAI Gym.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/25. Overall Concerns.html
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Part 01-Module 07-Lesson 06_3D Perception Project/02. Amazon Robotics Challenge.html
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/10. Adapting FastSLAM to Grid Maps.html
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/14. Positional Controller.html
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Part 02-Module 06-Lesson 06_Project Home Service Robot/12. Putting it all Together.html
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Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1.html
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Part 01-Module 05-Lesson 01_Intro to Kinematics/05. Generalized Coordinates.html
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Part 02-Module 06-Lesson 02_Classic Path Planning/14. Voronoi Diagram.html
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Part 01-Module 12-Lesson 07_Project Follow Me/02. Setting up your Local Environment.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/13. Error Functions-jfKShxGAbok.pt-BR.vtt
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/09. FastSLAM Instances.html
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/10. Classes and Objects.html
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/19. Inverse Kinematics Example.html
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/14. Multi Sensor Fusion.html
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Part 01-Module 01-Lesson 02_What is a Robot/05. Essential Elements of Robotics.html
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/03. Full SLAM.html
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Part 02-Module 04-Lesson 04_GraphSLAM/18. RTAB-Map Optimization and Output.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/02. Color.html
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Part 02-Module 06-Lesson 05_Research in Navigation/03. A3C.html
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Part 01-Module 06-Lesson 02_Product Pitch/02. Anatomy of a Product Pitch.html
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Part 02-Module 03-Lesson 06_Project Where Am I/12. Common Questions.html
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/28. Feedforward.html
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Part 02-Module 03-Lesson 03_Lab Kalman Filters/09. Rviz Package.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/23. Pooling Practice.html
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Part 02-Module 04-Lesson 05_Project Map My World Robot/07. RTAB-Map Visualization Tools - Database Viewer.html
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/10. Point Cloud Types.html
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/33. GPU Workspace Introduction.html
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/15. 05 Soft Robotics Process-3FJ5mXcBHwM.en.vtt
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Part 01-Module 09-Lesson 01_Udacity Explores - Robot Grasping/11. 05 Soft Robotics Process-3FJ5mXcBHwM.en.vtt
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.en.vtt
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/04. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt
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Part 02-Module 03-Lesson 02_Kalman Filters/02. What's A Kalman Filter-Cd5KKT7PfdE.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.en.vtt
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/08. Perception Engineer Interview-jvJBciGU5o0.en.vtt
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Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.pt-BR.vtt
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Part 02-Module 05-Lesson 02_RL Basics/16. MDPs, Part 1-NBWbluSbxPg.zh-CN.vtt
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Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.pt-BR.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/13. gmapping ROS Package-45kWFvCgTdA.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt
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Part 02-Module 05-Lesson 02_RL Basics/31. Optimal Policies-2rguYpVyCto.zh-CN.vtt
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.zh-CN.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.pt-BR.vtt
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Part 01-Module 10-Lesson 01_Introduction to Controls/img/eq2.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/10. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt
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Part 02-Module 04-Lesson 04_GraphSLAM/16. Visual Bag Of Words -7-T3Vo5bWnI.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/02. Intro to Neural Networks-mZcMUcJVcqY.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1-XPnj3Ya3EuM.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/02. Applications-CV6B84mKRNM.en.vtt
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.es-MX.vtt
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.pt-BR.vtt
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Part 02-Module 03-Lesson 01_Introduction to Localization/01. Localization in Robotics-AcZY7n8XPZo.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt
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Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/14. DH Parameter Steps 1-4-77CZQ6huL-8.en.vtt
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Part 02-Module 02-Lesson 02_Inference Applications in Robotics/02. Embedded Examples-GWEaRK6w6LM.en.vtt
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Part 02-Module 06-Lesson 02_Classic Path Planning/23. C5 L2 A102 UCS Part 2 V6-hrhu6VXEq6U.en.vtt
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Part 02-Module 04-Lesson 04_GraphSLAM/17. RTAB-Map Memory Management-Cs4mO5y4xYY.en.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.pt-BR.vtt
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Part 02-Module 03-Lesson 03_Lab Kalman Filters/11. RQT Multiplot-ZEpVMvXC6jQ.en.vtt
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Part 02-Module 06-Lesson 02_Classic Path Planning/23. Uniform Cost Search-27mdDguSqvM.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. Layers-pg99FkXYK0M.zh-CN.vtt
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/09. 08 Functions And Data Structures-eVJvHeeirwc.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.pt-BR.vtt
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Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.pt-BR.vtt
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/equations.png
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/09. The Reward Hypothesis-uAqNwgZ49JE.zh-CN.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.en-US.vtt
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Part 02-Module 05-Lesson 02_RL Basics/26. Bellman Equations-UgIaDMvSdUo.zh-CN.vtt
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/03. GPIO-5kBPBKjtWsQ.en.vtt
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/03. Clustering Intro-P9jwsy1BUnI.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. 09 Higher Dimensions-eBHunImDmWw.en.vtt
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Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.en.vtt
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Part 02-Module 03-Lesson 01_Introduction to Localization/02. Localization Challenges-J_ggwD8zip0.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.en.vtt
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Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/02. Battery-c4LQLIB-WYc.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.en.vtt
3.0 kB
Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn4.gif
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/18. Explore the Design Space-FG7M9tWH2nQ.zh-CN.vtt
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Part 02-Module 05-Lesson 02_RL Basics/02. Applications-CV6B84mKRNM.zh-CN.vtt
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Part 02-Module 04-Lesson 04_GraphSLAM/02. Graphs-a7qFQMwMb4k.en.vtt
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Part 02-Module 03-Lesson 05_Build MCL in C++/09. Resampling Wheel-tYuSA4I09O8.en.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/13. 16 L Minimizing Cross-Entropy-YrDMXFhvh9E.zh-CN.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/15. SLAM With ROS -APwvoT_w9Cw.en.vtt
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/10. Intro To Probabilistic Path Planning-CF6kz2H00ZU.en.vtt
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Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/01. Introduction-ouAVFq9QJuo.en.vtt
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Part 02-Module 03-Lesson 02_Kalman Filters/12. 1D Kalman Filter-1nHSG4U_v2g.en.vtt
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Part 01-Module 05-Lesson 01_Intro to Kinematics/08. Principal Types Of Serial Manipulators-_i2g68BdrO0.en.vtt
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Part 02-Module 06-Lesson 02_Classic Path Planning/22. L2 98 DFS Part 2 V3-2_hHQBhD1n8.en.vtt
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Part 01-Module 01-Lesson 03_Search and Sample Return/02. Exploring the Simulator-YWiDvpjyBio.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt
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Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt
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Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.pt-BR.vtt
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Part 02-Module 05-Lesson 02_RL Basics/10. Goals and Rewards, Part 1-XPnj3Ya3EuM.zh-CN.vtt
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Part 01-Module 05-Lesson 01_Intro to Kinematics/img/codecogseqn3.gif
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/27. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt
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Part 02-Module 03-Lesson 04_Monte Carlo Localization/04. Particle Filters-flFKViJI-18.en.vtt
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Part 02-Module 04-Lesson 04_GraphSLAM/01. Introduction-zya9-JPqkLE.en.vtt
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Part 01-Module 10-Lesson 01_Introduction to Controls/01. Overview Of Controls Engineering-NL5e9LsWItQ.en.vtt
2.8 kB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/image-3.png
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Part 01-Module 01-Lesson 04_Career Support Overview/02. Design Review-IlXkmoY_8Vw.en.vtt
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Part 02-Module 03-Lesson 05_Build MCL in C++/08. Resampling-WdW72nTVT8M.en.vtt
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Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.en.vtt
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Part 01-Module 12-Lesson 03_Deep Neural Networks/10. 10 Backprop-wSXcrBbY8oE.zh-CN.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Exemplo de classificação-Dh625piH7Z0.en.vtt
2.8 kB
Part 01-Module 05-Lesson 02_Forward and Inverse Kinematics/img/gif.latex.gif
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Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.pt-BR.vtt
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Part 02-Module 04-Lesson 04_GraphSLAM/04. Front End Vs Back End -mLKwe-AAJc8.en.vtt
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/14. Multi Sensor Fusion -d9-a8Z0E8rg.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt
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Part 01-Module 03-Lesson 01_GitHub/02. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt
2.7 kB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt
2.7 kB
Part 01-Module 10-Lesson 01_Introduction to Controls/18. Beyond The Ideal Case - Noise-tPRbY3A4qcs.en.vtt
2.7 kB
Part 02-Module 01-Lesson 02_The Jetson TX2/01. Introduction-qAitoH9xVl8.en.vtt
2.7 kB
Part 02-Module 05-Lesson 04_Deep RL/02. From RL to Deep RL-7HLJ0uaR1F0.en.vtt
2.7 kB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.en.vtt
2.7 kB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/12. 15 Tensorflow CrossEntropy V1-bYDXA6XPQnM.en.vtt
2.7 kB
Part 01-Module 07-Lesson 05_Object Recognition/01. Intro To Object Recognition-Sy2Wk-FYSJU.en.vtt
2.7 kB
Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.en-US.vtt
2.7 kB
Part 01-Module 10-Lesson 01_Introduction to Controls/img/codecogseqn-7.gif
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/08. Filtering -gvSuVqEI5OI.en.vtt
2.7 kB
Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/img/homo-xform-2.png
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Part 01-Module 03-Lesson 01_GitHub/06. Quick Fixes-Lb9e2KemR6I.ar.vtt
2.7 kB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.ar.vtt
2.7 kB
Part 01-Module 01-Lesson 01_Welcome/03. Projects You Will Build-inT5Ns2DvAs.en.vtt
2.7 kB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.en.vtt
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Part 01-Module 05-Lesson 03_Project Robotic Arm Pick Place/12. Kuka KR210 Forward Kinematics Part 03-nQ8PiP1BlSA.en.vtt
2.7 kB
Part 02-Module 06-Lesson 06_Project Home Service Robot/01. Introduction-WchXpePVMuI.en.vtt
2.6 kB
Part 01-Module 03-Lesson 01_GitHub/03. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt
2.6 kB
Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt
2.6 kB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/07. 07 Hello, World!-dQ17TKFmvq4.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/24. Gridworld Example-XeHBmPFqTsE.en.vtt
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Part 02-Module 05-Lesson 01_Intro to RL for Robotics/02. Deep RL in Robotics-IjG_IWJdb1w.en.vtt
2.6 kB
Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/06. Research The Company-rej_9D0J0-o.en.vtt
2.6 kB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Exemplo de classificação-Dh625piH7Z0.pt-BR.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. 32 L Parameter Hyperspace!-5a3-iIhdguc.pt-BR.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.en.vtt
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/01. Introduction To Probabilistic Path Planning-msgVwQCM2C8.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/06. Episodic vs. Continuing Tasks-E1I-BPanSM8.zh-CN.vtt
2.5 kB
Part 02-Module 01-Lesson 03_Interacting with Robotics Hardware/04. Breadboard-UAY8HtXyzQ0.en.vtt
2.5 kB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/10. Training Your Logistic Classifier-WQsdr1EJgz8.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/01. Introduction-6jSFl5kxIBs.pt-BR.vtt
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Part 02-Module 01-Lesson 01_Introduction to Term 2/04. Term 2 Outline-AD3LDaDhJ5Y.en.vtt
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Part 02-Module 05-Lesson 02_RL Basics/20. MDPs, Part 3-UlXHFbla3QI.zh-CN.vtt
2.5 kB
Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/11. 11 Inheritance And Pointers-E3B9GHqEdj4.en.vtt
2.5 kB
Part 01-Module 10-Lesson 01_Introduction to Controls/02. Open-Loop Control-p5-E3n9_ptM.en.vtt
2.5 kB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt
2.5 kB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/10. Training Your Logistic Classifier-WQsdr1EJgz8.pt-BR.vtt
2.5 kB
Part 02-Module 03-Lesson 05_Build MCL in C++/07. Importance Weight-MPJVPvjruZo.en.vtt
2.5 kB
Part 02-Module 05-Lesson 02_RL Basics/01. Introduction-6jSFl5kxIBs.en.vtt
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Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 04 行动者和评论者 V1-bvbE9F7urd4.zh-CN.vtt
2.5 kB
Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance-0Hr5YwUUhr0.en.vtt
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Part 01-Module 12-Lesson 03_Deep Neural Networks/03. Linear Models Are Limited-12AYOYDrpfQ.pt-BR.vtt
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Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.pt-BR.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/11. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/02. Online SLAM-bQ9aQj46cMI.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/03. Exemplo de classificação-Dh625piH7Z0.zh-CN.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.pt-BR.vtt
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Part 02-Module 04-Lesson 01_Introduction to Mapping and SLAM/02. Mapping-xHOfiYhhzJ4.en.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/23. 31 L Momentum And Learning Rate Decay-O3QYdmQjXds.en.vtt
2.4 kB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/10. 10 Classes And Objects-r7hwI_O9SdA.en.vtt
2.4 kB
Part 01-Module 01-Lesson 04_Career Support Overview/01. Careers In Robotics Catalia Health-HS8ALYfDgJw.en.vtt
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Part 02-Module 03-Lesson 03_Lab Kalman Filters/01. Introduction-AwjP4ABJjoo.en.vtt
2.4 kB
Part 01-Module 12-Lesson 03_Deep Neural Networks/18. Dropout-6DcImJS8uV8.zh-CN.vtt
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/02. Sensor Calibration-nrOwEXhHR0g.en.vtt
2.4 kB
Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/24. 32 L Parameter Hyperspace!-5a3-iIhdguc.en.vtt
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/05. Correspondence-9fe6Tzx8H78.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.en.vtt
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Part 01-Module 07-Lesson 05_Object Recognition/08. Surface Normals-pHnb_VgjZN0.en.vtt
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Part 01-Module 12-Lesson 07_Project Follow Me/01. 02 Lesson 08 Outro 1-Lm9Y1Wl9gFY.en.vtt
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Part 01-Module 07-Lesson 03_Calibration, Filtering, and Segmentation/08. Point Cloud Filtering-bop3tRyvRxU.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/18. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/21. Building an Earthworm Robot-34HvCniBTIA.en.vtt
2.3 kB
Part 01-Module 01-Lesson 03_Search and Sample Return/01. Overview of the Project-c7q2IJntS1g.en.vtt
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.ar.vtt
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Part 01-Module 03-Lesson 01_GitHub/01. Introduction-Vnj2VNQROtI.ar.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.ar.vtt
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/17. Octomap-9s9ibmsQ4lQ.en.vtt
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Part 02-Module 02-Lesson 01_Inference Development/01. Overview-DrRsTUzqweM.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/03. Statistical Invariance-0Hr5YwUUhr0.pt-BR.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/16. One-Hot Encoding-AePvjhyvsBo.en.vtt
2.3 kB
Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/03. Solving Problems - Big And Small-WHcRQMGSbqg.zh-CN.vtt
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Part 02-Module 06-Lesson 02_Classic Path Planning/19. Graph Search-aA17XOlX044.en.vtt
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Part 02-Module 06-Lesson 01_Intro to Path Planning and Navigation/01. Lesson Overview-B0SVGo8JPeA.en.vtt
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Part 01-Module 12-Lesson 05_Fully Convolutional Networks/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.en.vtt
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt
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Part 02-Module 03-Lesson 02_Kalman Filters/07. Kalman Filter Advantage-thwTZvbzAgk.en.vtt
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Part 01-Module 04-Lesson 01_Udacity Explores - Biologically Inspired Robots/01. Introduction-xMmMFhMoS8M.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/14. Participating in open source projects 2-elZCLxVvJrY.ar.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt
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Part 01-Module 03-Lesson 01_GitHub/09. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt
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Part 02-Module 04-Lesson 03_Grid-based FastSLAM/11. Grid-based FastSLAM Techniques-0VwPYaQk98U.en.vtt
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Part 02-Module 07-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt
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Part 01-Module 11-Lesson 01_Udacity Explores Swarm Robotics/01. Swarm Robotics Intro-tn54WOSQDtI.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/29. Chain Rule-YAhIBOnbt54.pt-BR.vtt
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Part 01-Module 12-Lesson 05_Fully Convolutional Networks/11. FCNs In The Wild-q9wTd53-hsw.en.vtt
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/01. Welcome to the Course-GaCLcs60EP4.en.vtt
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Part 01-Module 13-Lesson 01_Introduction to C++ for Robotics/04. 03 Transitioning-BvDvxw8e0CY.en.vtt
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Part 01-Module 07-Lesson 04_Clustering for Segmentation/14. Segmentation Summary-D6A_uCitK0c.en.vtt
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Part 02-Module 03-Lesson 04_Monte Carlo Localization/07. MCL in Action-VgEGrvgty_k.en.vtt
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Part 01-Module 07-Lesson 01_Perception Overview/02. The Upcoming Project-dj21r-nGqkE.en.vtt
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Part 02-Module 04-Lesson 02_ Occupancy Grid Mapping/04. Mapping with Known Poses-LST_AieoenI.en.vtt
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/06. Why RGB-D-Epy9a_7fRe4.en.vtt
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Part 01-Module 07-Lesson 02_Introduction to 3D Perception/01. 3D Perception-LJjPoUF1lRg.en.vtt
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Part 01-Module 08-Lesson 01_Udacity Explores - Soft Robotics/18. 07 Getting Into Soft Robotics-cBmTs79s3HI.en.vtt
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Part 04-Module 01-Lesson 01_Autonomous Systems Interview Practice/07. Let's Get Started-yoXAm1ix6q8.en.vtt
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Part 02-Module 06-Lesson 02_Classic Path Planning/04. Discrete Planning-paeOudcnghM.en.vtt
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Part 01-Module 12-Lesson 05_Fully Convolutional Networks/11. FCNs In The Wild-q9wTd53-hsw.zh-CN.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What Is Deep Learning-INt1nULYPak.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/26. Inception Module-SlTm03bEOxA.en.vtt
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Part 02-Module 06-Lesson 05_Research in Navigation/03. RL M2L4 01 行动者-评论者方法 RENDER V1 V1-FXhyxJzgt8U.en.vtt
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Part 01-Module 01-Lesson 02_What is a Robot/03. Decision Making-TQtZx-5xyBk.en.vtt
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Part 01-Module 12-Lesson 02_TensorFlow for Deep Learning/02. What Is Deep Learning-INt1nULYPak.zh-CN.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/26. Inception Module-SlTm03bEOxA.zh-CN.vtt
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Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt
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Part 02-Module 06-Lesson 04_Sample-Based and Probabilistic Path Planning/15. Probabilistic Path Planning Wrap-Up-6HqAXjlA3no.en.vtt
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Part 02-Module 01-Lesson 04_Lab Hardware Hello World/09. Recap-ittFKxLjdlU.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.ar.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt
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Part 02-Module 01-Lesson 02_The Jetson TX2/08. Recap-CwUHk7xSkkM.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt
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Part 02-Module 01-Lesson 05_Robotics Sensor Options/07. Variable Resistors-p-7Fb6L1Qv0.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/15. 14 Quiz - Softmax-DqNlVmt_0qs.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt
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Part 02-Module 02-Lesson 02_Inference Applications in Robotics/06. Recap-4DCHI_brlT4.en.vtt
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Part 01-Module 12-Lesson 06_Lab Semantic Segmentation/01. 01 Lesson 06 Intro-j_lRYOKDjWg.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.ja-JP.vtt
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Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/11. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt
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Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt
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Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt
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Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt
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Part 01-Module 03-Lesson 01_GitHub/12. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt
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Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-5.gif
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt
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Part 01-Module 03-Lesson 01_GitHub/07. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt
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Part 01-Module 10-Lesson 02_Quadrotor Control using PID/img/codecogseqn-4.gif
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Part 01-Module 03-Lesson 01_GitHub/15. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt
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Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt
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Part 01-Module 12-Lesson 01_Intro to Neural Networks/09. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt
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Part 01-Module 03-Lesson 01_GitHub/05. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt
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Part 02-Module 07-Lesson 02_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt
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Part 02-Module 03-Lesson 05_Build MCL in C++/05. Noise-8oMow26fgwg.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.pt-BR.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.en-US.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.en.vtt
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Part 01-Module 12-Lesson 04_Convolutional Neural Networks/01. Intro to CNNs-B61jxZ4rkMs.zh-CN.vtt
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How you can help Team-FTU.txt
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[FreeCoursesOnline.Me].url
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[FreeTutorials.Eu].url
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FTUApps.com website coming soon.txt
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