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Udacity - Computer Vision Nanodegree nd891 v1.0.0
magnet:?xt=urn:btih:21c6b62f1d1a9e9ccf6a221d6e79cc37d3ba0e53&dn=Udacity - Computer Vision Nanodegree nd891 v1.0.0
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21c6b62f1d1a9e9ccf6a221d6e79cc37d3ba0e53
infohash:
361
文件数量
2.54 GB
文件大小
2019-7-24 21:35
创建日期
2024-7-7 22:26
最后访问
相关分词
Udacity
-
Computer
Vision
Nanodegree
nd891
v1
0
0
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.mp4 267.66 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.mp4 273.59 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/10. Random Restart-idyBBCzXiqg.mp4 394.99 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. Images-1GdiN5Wc8LA.mp4 395.42 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.mp4 451.32 KB
Part 03-Module 01-Lesson 02_Robot Localization/10. 11 Normalize Distribution V1-ZGvmFn_u56o.mp4 522.8 KB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.mp4 526.05 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.mp4 540.98 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.mp4 574.57 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.mp4 609.67 KB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/08. Remember Gate-0qlm86HaXuU.mp4 676.91 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.mp4 677.46 KB
Part 03-Module 01-Lesson 02_Robot Localization/21. 18 Exact Motion V1-mNXm1wjTumY.mp4 708.57 KB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.mp4 768.11 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.mp4 793.62 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.mp4 819.86 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/07. 07 Quiz Data Challenges V1-F8yc7BlV93c.mp4 862.5 KB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/05. Transposed Convolutions-K6mlLX8ZZDs.mp4 870.48 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/05. 05 Implementing Constraints Solution V1-uLmGavXEN64.mp4 885.75 KB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.mp4 888.58 KB
Part 03-Module 01-Lesson 02_Robot Localization/31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.mp4 922.19 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.mp4 927.05 KB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/02. Why Neural Networks-zAkzOZntK6Y.mp4 982.27 KB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.mp4 988.79 KB
Part 05-Module 01-Lesson 02_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.mp4 1.01 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/07. Forget Gate-iWxpfxLUPSU.mp4 1.04 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.mp4 1.06 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/04. LSTM Architecture-ycwthhdx8ws.mp4 1.07 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp4 1.11 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/20. Solution ROC Curve-sdUUf6RRmXI.mp4 1.11 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/02. Intro To State-zfilXYrW4Gk.mp4 1.13 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4 1.14 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/28. Mini Project Introduction-Rgf3YVFWl-M.mp4 1.15 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.mp4 1.15 MB
Part 03-Module 01-Lesson 02_Robot Localization/29. 24 Limit Distribution Quiz V3-NJvalJwjz18.mp4 1.15 MB
Part 09-Module 01-Lesson 05_Python and C++ Speed/01. Introduction-JklGKdn3_go.mp4 1.19 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4 1.2 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/08. Bounding Boxes-uPv4d0Xl8hc.mp4 1.2 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.mp4 1.23 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/09. Training The Neural Network-HwiI-UXUx-M.mp4 1.24 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/10. Moving Forward V4-E35QVmp1f2k.mp4 1.26 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.mp4 1.32 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4 1.37 MB
Part 02-Module 01-Lesson 03_RNN's/09. Regra da cadeia-YAhIBOnbt54.mp4 1.46 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Chain Rule-YAhIBOnbt54.mp4 1.46 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/06. 06 Image Challenge V3-Efnoj1KNPHw.mp4 1.46 MB
Part 02-Module 01-Lesson 05_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.mp4 1.46 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/07. FCNs In The Wild-q9wTd53-hsw.mp4 1.47 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/08. Solution Data Challenges-1z3o4niQuNg.mp4 1.49 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/09. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 1.5 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.mp4 1.5 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4 1.52 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/03. Survival Rate-QPlp3NeGuSk.mp4 1.52 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/05. A Different Model-Mh0g-SMpMI4.mp4 1.55 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/01. Introduction-ZCpXvVdIdnY.mp4 1.55 MB
Part 03-Module 01-Lesson 02_Robot Localization/17. 16 Test Sense Function V1-gytbuOI9-3g.mp4 1.57 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp4 1.57 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.mp4 1.58 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/10. Putting It All Together-IF8FlKW-Zo0.mp4 1.58 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 1.63 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.mp4 1.66 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/06. Skip Connections-JUYLA5PWzo0.mp4 1.69 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/16. Other Architectures-MsxFDuYlTuQ.mp4 1.71 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 1.72 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/05. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4 1.73 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.mp4 1.73 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/09. Semantic Segmentation-_L5gJnZrw48.mp4 1.74 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.mp4 1.84 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Multiclass Classification-uNTtvxwfox0.mp4 1.88 MB
Part 02-Module 01-Lesson 02_YOLO/09. 07 Too Many Boxes V2-nYDWsFdFnQ8.mp4 1.89 MB
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.mp4 1.93 MB
Part 03-Module 01-Lesson 02_Robot Localization/25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.mp4 1.97 MB
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.mp4 1.99 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/03. Testing-EeBZpb-PSac.mp4 2 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/03. Motion Models-qSdbn_PVQnk.mp4 2.07 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4 2.09 MB
Part 03-Module 01-Lesson 02_Robot Localization/26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.mp4 2.11 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/04. Optical Flow-TOS8UJwCtTg.mp4 2.13 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.mp4 2.14 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. 动量-r-rYz_PEWC8.mp4 2.14 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/15. Momentum-r-rYz_PEWC8.mp4 2.14 MB
Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter/01. Project Overview-uaWZNKGTtgM.mp4 2.17 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/04. Medical Classification-RCOSP60dV7U.mp4 2.2 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 2.2 MB
Part 02-Module 01-Lesson 05_Hyperparameters/02. Introduction-erwnzFD7AeE.mp4 2.22 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/06. Learn Gate-aVHVI7ovbHY.mp4 2.22 MB
Part 03-Module 01-Lesson 02_Robot Localization/08. 09 Probability After Sense V1-aWQMJQQmNGw.mp4 2.23 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/14. Sequence Batching-pdSr5F-9qE0.mp4 2.29 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.mp4 2.3 MB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/19. Nd113 C L2 01 V1-h_P7ceb5ido.mp4 2.31 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp4 2.31 MB
Part 03-Module 01-Lesson 02_Robot Localization/14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.mp4 2.34 MB
Part 03-Module 01-Lesson 02_Robot Localization/30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.mp4 2.37 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/08. 05 Attention Encoder V2-sphe9LDT4rA.mp4 2.41 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/22. Visualization-aGIGB4Ta3_A.mp4 2.43 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.mp4 2.46 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Applications seq2seq-tDJBDwriJYQ.mp4 2.48 MB
Part 01-Module 01-Lesson 05_Feature Vectors/02. Feature Vectors--PF1_MITrOw.mp4 2.5 MB
Part 03-Module 01-Lesson 02_Robot Localization/05. 03 Localization V1-OB6GZxfvESw.mp4 2.52 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/11. Scene Understanding-aMQREc-mP50.mp4 2.52 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4 2.53 MB
Part 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 1-gqPjMDVFvNg.mp4 2.55 MB
Part 02-Module 01-Lesson 07_Image Captioning/02. 02 Leveraging Neural Networks V3-thClOUTiNxY.mp4 2.56 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4 2.57 MB
Part 02-Module 01-Lesson 07_Image Captioning/10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4 2.61 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/02. Localization V1 (1)-QkVyEMTUkAw.mp4 2.62 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/21. ROC Curve-fWwe_JlpnlQ.mp4 2.68 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.mp4 2.71 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/03. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 2.79 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.83 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.mp4 2.83 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4 2.84 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/05. The Data-2RLbbV7MQNA.mp4 2.85 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/08. Lesson Outline-jh7wLGXrm3E.mp4 2.86 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/13. Character-Wise RNN-m_S2hs6-j5w.mp4 2.88 MB
Part 02-Module 01-Lesson 02_YOLO/06. 05 Training On A Grid V2-uhefpakvXh8.mp4 2.89 MB
Part 01-Module 01-Lesson 05_Feature Vectors/04. 02 Introduction To ORB V3-WN37zcMhMas.mp4 2.91 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.mp4 2.96 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.mp4 2.99 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.mp4 3 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/03. Fully Convolutional Networks-_Lh2ozg5yTs.mp4 3 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.mp4 3.03 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4 3.04 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/23. Haar Cascades-vALIpxVfKRc.mp4 3.05 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/25. Confusion Matrix-3rpN-YYlfes.mp4 3.07 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4 3.08 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Layers-pg99FkXYK0M.mp4 3.11 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/09. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4 3.15 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/06. 04 Attention Overview Decoding V2-DJxiPd585GY.mp4 3.2 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.mp4 3.2 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/20. State Transformation Matrix-DRRuQMYo800.mp4 3.21 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.mp4 3.21 MB
Part 02-Module 01-Lesson 07_Image Captioning/08. Tokenization-4Ieotbeh4u8.mp4 3.22 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/01. Course Introduction-Lwc5oYApdUM.mp4 3.25 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/15. Outro-vyNI5hdMigs.mp4 3.25 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/18. Hough Transform-RIOzsF1_xuo.mp4 3.25 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/24. Working With Matrices-nruxu8pr6i8.mp4 3.27 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.mp4 3.27 MB
Part 03-Module 01-Lesson 02_Robot Localization/33. 27 Sense And Move V2-v2dYzm6-YVs.mp4 3.28 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 3.31 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.mp4 3.32 MB
Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/01. Types Of Features-cJHro29nzgg.mp4 3.33 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4 3.35 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/12. IoU---9BTjOsO6U.mp4 3.36 MB
Part 02-Module 01-Lesson 05_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.4 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4 3.46 MB
Part 03-Module 01-Lesson 02_Robot Localization/17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.mp4 3.47 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.49 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.mp4 3.57 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/02. RNN Vs LSTM-70MgF-IwAr8.mp4 3.58 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.mp4 3.58 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/05. 01 Motion Vector V2-I3f3IEUI2tg.mp4 3.64 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/09. Always Moving-EQBQlHvxAQA.mp4 3.65 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/08. 04 Tracking Features V2-uFf6IZ5MxgU.mp4 3.74 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4 3.75 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4 3.76 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4 3.76 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 3.8 MB
Part 02-Module 01-Lesson 07_Image Captioning/11. 09 On To The Project V2-MsxNRaYTNSk.mp4 3.87 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4 3.87 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.mp4 3.88 MB
Part 02-Module 01-Lesson 02_YOLO/10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.mp4 3.89 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 3.95 MB
Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)/03. LSTM Basics-gjb68a4XsqE.mp4 4.03 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.mp4 4.05 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/01. Localization Steps-4SiMoSTf4rQ.mp4 4.06 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/01. Introducing Andrew Trask-ltO71Bm8b3M.mp4 4.08 MB
Part 03-Module 01-Lesson 02_Robot Localization/18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.mp4 4.1 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.mp4 4.1 MB
Part 02-Module 01-Lesson 05_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.12 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/01. 矩阵介绍-Ugx3mldc0lE.mp4 4.15 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/13. 09 Additive Attention V2-93VfVWZ-IvY.mp4 4.17 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.mp4 4.17 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/01. 02 SLAM V1-UVkkDPJshgM.mp4 4.18 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/16. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/08. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 4.26 MB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/01. Introduction-4xHI5LFX-cQ.mp4 4.28 MB
Part 03-Module 01-Lesson 02_Robot Localization/16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.mp4 4.29 MB
Part 03-Module 01-Lesson 02_Robot Localization/36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.mp4 4.32 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.mp4 4.32 MB
Part 02-Module 01-Lesson 07_Image Captioning/05. 04 CNNRNN Model V3-n7kdMiX1Xz8.mp4 4.39 MB
Part 03-Module 01-Lesson 02_Robot Localization/02. Reduzindo a incerteza-zuFMhmKQ--o.mp4 4.4 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/07. Image Formation-6ZVnQYzfpis.mp4 4.42 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4 4.45 MB
Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation/01. Intro-1sm1EbfilXI.mp4 4.45 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.47 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/02. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.49 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/20. Hough Line Detection-PVIUkQKbrUw.mp4 4.5 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.54 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.mp4 4.55 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.mp4 4.56 MB
Part 01-Module 01-Lesson 05_Feature Vectors/13. Histogram of Oriented Gradients-dqe9zGtxoNM.mp4 4.56 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.mp4 4.66 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/02. 02 Skin Cancer V4-70jGZeiTNgk.mp4 4.73 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/03. Combinando modelos-Boy3zHVrWB4.mp4 4.73 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.mp4 4.74 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.mp4 4.75 MB
Part 02-Module 01-Lesson 05_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp4 4.78 MB
Part 02-Module 01-Lesson 02_YOLO/05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.mp4 4.85 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp4 4.9 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/07. Quantifying State-9zMbwSqTZAc.mp4 5.01 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.03 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 5.04 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/03. Motion -A-QJf04LBb0.mp4 5.05 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/10. Car Object-SnfhGZ76h7Y.mp4 5.12 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/19. State Vector-st26ov_TVwM.mp4 5.12 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.13 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/10. Low-pass Filters-jy5Be9vf2rk.mp4 5.19 MB
Part 03-Module 01-Lesson 02_Robot Localization/03. Usando dados do sensor-vhl-SADfti8.mp4 5.21 MB
Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/06. Image Contours-Wcbrl7Wr_kU.mp4 5.27 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 5.33 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4 5.34 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.mp4 5.37 MB
Part 03-Module 01-Lesson 02_Robot Localization/06. 05 Total Probability V4-RCEieE2t8U4.mp4 5.46 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/11. Gaussian Blur-1tlPonqIOrU.mp4 5.51 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/12. Validating The Training-Oxm9ofvov3I.mp4 5.51 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4 5.54 MB
Part 02-Module 01-Lesson 07_Image Captioning/03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.mp4 5.61 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4 5.69 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 5.69 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/28. Conclusion-gMbDqd4ItiU.mp4 5.72 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/09. Pooling Layers-OkkIZNs7Cyc.mp4 5.82 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4 5.84 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/16. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 5.84 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 5.85 MB
Part 02-Module 01-Lesson 07_Image Captioning/01. 01 L Introduction V3-dobNslC2y-o.mp4 5.94 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/25. Solving Trig Problems Part1-qI4i845d7Qg.mp4 5.97 MB
Part 02-Module 01-Lesson 02_YOLO/01. 01 Introduction V3-uyefSrHZesY.mp4 5.97 MB
Part 02-Module 01-Lesson 07_Image Captioning/06. 05 The Glue V5-u2ZdcUDnHm0.mp4 6.02 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/01. Introduction-ahoiVrq4qAk.mp4 6.03 MB
Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/09. K-means Clustering-Cf_LSDCEBzk.mp4 6.06 MB
Part 03-Module 01-Lesson 05_Representing State and Motion/14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.06 MB
Part 02-Module 01-Lesson 02_YOLO/02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 6.07 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-0ZF649G58l4.mp4 6.09 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.1 MB
Part 03-Module 01-Lesson 01_Introduction to Motion/01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4 6.11 MB
Part 03-Module 01-Lesson 02_Robot Localization/20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.mp4 6.21 MB
Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/10. K-means Implementation-poKlg-aB4rU.mp4 6.26 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 6.31 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 6.42 MB
Part 02-Module 01-Lesson 02_YOLO/14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4 6.52 MB
Part 05-Module 01-Lesson 01_Feedforward and Backpropagation/05. Backpropagation V2-1SmY3TZTyUk.mp4 6.52 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.54 MB
Part 02-Module 01-Lesson 02_YOLO/07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.mp4 6.55 MB
Part 02-Module 01-Lesson 02_YOLO/12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.mp4 6.6 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/15. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.62 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/07. Creating a Filter-VEsdTRBH3D8.mp4 6.63 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/08. Transforming Text into Numbers-7rHBU5cbePE.mp4 6.64 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 6.66 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/18. ROC Curve-2Iw5TiGzJI4.mp4 6.66 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.mp4 6.75 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/18. Rate Gyros-TmnecSf80b0.mp4 6.82 MB
Part 03-Module 01-Lesson 02_Robot Localization/04. 概率分布入门 2-PglBg4eb_5M.mp4 6.85 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4 6.95 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/15. Canny Edge Detection-Nm1H2xMMS3I.mp4 6.96 MB
Part 01-Module 01-Lesson 05_Feature Vectors/03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4 6.97 MB
Part 01-Module 01-Lesson 05_Feature Vectors/05. 03 Fast V3-DCHAc6fjcVM.mp4 7.25 MB
Part 02-Module 01-Lesson 03_RNN's/24. RNN Summary-nXP0oGGRrO8.mp4 7.26 MB
Part 03-Module 01-Lesson 02_Robot Localization/13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.mp4 7.39 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
Part 03-Module 01-Lesson 02_Robot Localization/38. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
Part 03-Module 01-Lesson 02_Robot Localization/28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.mp4 7.42 MB
Part 03-Module 01-Lesson 06_Matrices and Transformation of State/08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7.49 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/13. Color Thresholds-08ZlYZJaiUg.mp4 7.54 MB
Part 05-Module 01-Lesson 02_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4 7.57 MB
Part 02-Module 01-Lesson 07_Image Captioning/09. 07 RNN Training V4-P-tHxD7kRmA.mp4 7.58 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/20. Working with Real Data-WvEcWtAz-OQ.mp4 7.66 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 7.76 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 7.91 MB
Part 01-Module 01-Lesson 05_Feature Vectors/07. 04 Brief V4-EKIPEPpRciw.mp4 7.91 MB
Part 09-Module 01-Lesson 03_Practical C++/01. Introduction To Compilation-dyzGEB8YDGg.mp4 7.96 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/04. 09. Training a Model-m4GVfwVkj74.mp4 8.01 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.01 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/17. Function Signatures 2-Sx4AWTmXl2U.mp4 8.1 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4 8.12 MB
Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun/26. Conclusion-WhpE_8sTt-0.mp4 8.2 MB
Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection/05. High-pass Filters-OpcFn_H2V-Q.mp4 8.25 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 8.34 MB
Part 01-Module 01-Lesson 05_Feature Vectors/10. 07 Feature Matching V2-RH05Wnl1-2A.mp4 8.35 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4 8.43 MB
Part 02-Module 01-Lesson 01_Advanced CNN Architectures/04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.mp4 8.54 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/15. Approximating The Integral-9C05AHzI_I8.mp4 8.57 MB
Part 03-Module 01-Lesson 02_Robot Localization/22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.mp4 8.7 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/10. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.22 MB
Part 02-Module 01-Lesson 02_YOLO/03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4 9.42 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 9.51 MB
Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation/02. Corner Detectors-jemzDq07MEI.mp4 9.51 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/10. Color Images--XbXiiGQ9gw.mp4 9.6 MB
Part 02-Module 01-Lesson 05_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 9.62 MB
Part 03-Module 01-Lesson 02_Robot Localization/35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.mp4 9.74 MB
Part 01-Module 01-Lesson 05_Feature Vectors/11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4 9.77 MB
Part 02-Module 01-Lesson 07_Image Captioning/07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.mp4 9.89 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/17. Color Spaces and Transforms-B350aJVSsFc.mp4 9.9 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/23. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.05 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/11. Building a Neural Network-aM2k7RTjjJI.mp4 10.17 MB
Part 02-Module 01-Lesson 03_RNN's/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.43 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10.49 MB
Part 02-Module 01-Lesson 03_RNN's/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 10.5 MB
Part 09-Module 01-Lesson 04_C++ Object Oriented Programming/03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 10.64 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/02. Introduction-XZL934YQ-FQ.mp4 10.68 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 10.88 MB
Part 01-Module 01-Lesson 05_Feature Vectors/08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.mp4 10.92 MB
Part 03-Module 01-Lesson 02_Robot Localization/24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.mp4 10.96 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/14. Coding A Blue Screen-jeeDryFxodk.mp4 11.4 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/16. Function Signatures 1-T6kQ_4w98IQ.mp4 11.65 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/23. Andrew Trask - Outro-nIF0GLOQglQ.mp4 11.79 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/04. Why C++-_t4ZvwfnuCA.mp4 11.98 MB
Part 02-Module 01-Lesson 06_Optional Attention Mechanisms/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 12 MB
Part 02-Module 01-Lesson 02_YOLO/13. 10 Anchor Boxes V3-IzILYgVb76g.mp4 12.15 MB
Part 09-Module 02-Lesson 02_C++ Optimization Practice/16. Nd113 Story 1 V1-lIe2zso8A-w.mp4 12.76 MB
Part 02-Module 01-Lesson 03_RNN's/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 12.76 MB
Part 03-Module 01-Lesson 02_Robot Localization/11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4 12.91 MB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus/01. 惯性导航-vWgG0d2HOVE.mp4 12.92 MB
Part 09-Module 01-Lesson 01_C++ Getting Started/15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.16 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 13.28 MB
Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping/21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 13.61 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4 13.81 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/06. AffdexMe Demo-dpFtXDqakvY.mp4 13.96 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4 14.62 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 14.66 MB
Part 02-Module 01-Lesson 03_RNN's/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 14.77 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4 15.94 MB
Part 02-Module 01-Lesson 03_RNN's/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 17.23 MB
Part 02-Module 01-Lesson 03_RNN's/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 17.27 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/05. Framing the Problem-IsTOnkAKaJw.mp4 17.65 MB
Part 02-Module 01-Lesson 03_RNN's/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 17.74 MB
Part 02-Module 01-Lesson 03_RNN's/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 18.1 MB
Part 02-Module 01-Lesson 03_RNN's/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 19.68 MB
Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization/05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 19.85 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 20.67 MB
Part 02-Module 01-Lesson 03_RNN's/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 20.89 MB
Part 02-Module 01-Lesson 03_RNN's/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 21.12 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21.19 MB
Part 02-Module 01-Lesson 03_RNN's/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 21.57 MB
Part 02-Module 01-Lesson 03_RNN's/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 22.11 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/19. Further Noise Reduction-Kl3hWxizKVg.mp4 22.33 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 22.58 MB
Part 01-Module 01-Lesson 02_Image Representation & Classification/30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 23.75 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/02. Andrew Trask - Intro-da1I0mea1jQ.mp4 23.76 MB
Part 01-Module 01-Lesson 01_Welcome to Computer Vision/05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 24.21 MB
Part 02-Module 01-Lesson 03_RNN's/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 24.26 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 24.79 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 24.88 MB
Part 02-Module 01-Lesson 03_RNN's/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 25.79 MB
Part 09-Module 02-Lesson 01_C++ Intro to Optimization/04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 26.5 MB
Part 02-Module 01-Lesson 03_RNN's/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 26.65 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 27.08 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 28.37 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 28.86 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 33.67 MB
Part 03-Module 01-Lesson 04_Introduction to Kalman Filters/25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 33.73 MB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 34.58 MB
Part 02-Module 01-Lesson 03_RNN's/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 34.84 MB
Part 02-Module 01-Lesson 03_RNN's/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 36.16 MB
Part 02-Module 01-Lesson 03_RNN's/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 37.06 MB
Part 04-Module 01-Lesson 01_Applying Deep Learning Models/02. Navegação de tráfico 3-az5ElmV4DhY.mp4 38.12 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/21. Mini Project 6 Solution-ji0famK7gOQ.mp4 39.15 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 50.21 MB
Part 07-Module 01-Lesson 01_Sentiment Analysis/13. Mini Project 3 Solution-imnxzCev4SI.mp4 54.58 MB
Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter/02. Nd113 Running The Project V1--X1pB-HTdnQ.mp4 80.41 MB
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