Udacity | Computer Vision Nanodegree v4.0.0 | Nanodegree Program [FCO]

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Udacity | Computer Vision Nanodegree v4.0.0 | Nanodegree Program [FCO] (Size: 2.66 GB)
  0. Websites you may like
  0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url 377 B
  1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286 B
  3. (FTUApps.com) Download Cracked Developers Applications For Free.url 239 B
  How you can help our Group!.txt 208 B
  Part 01-Module 01-Lesson 01_Welcome to Computer Vision
  01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.en.vtt 1.9 KB
  01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.mp4 4.97 MB
  01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.zh-CN.vtt 1.77 KB
  01. Welcome to the Computer Vision Nanodegree Program.html 7.73 KB
  02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.en.vtt 2.23 KB
  02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.mp4 5.47 MB
  02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.zh-CN.vtt 2.02 KB
  02. Computer Vision in Industry.html 9.42 KB
  03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.en.vtt 2.28 KB
  03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.mp4 5.65 MB
  03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.zh-CN.vtt 2.01 KB
  03. Course Outline.html 6.25 KB
  04. Projects and Topics.html 9.39 KB
  05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.en.vtt 6.07 KB
  05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 18.8 MB
  05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.zh-CN.vtt 5.6 KB
  05. Partnership with Industry.html 7.65 KB
  06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.en.vtt 3.8 KB
  06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.mp4 7.59 MB
  06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.zh-CN.vtt 3.39 KB
  06. Learning in the Classroom.html 7.08 KB
  07. Community Guidelines.html 8.79 KB
  08. Moving Forward V4-E35QVmp1f2k.en.vtt 736 B
  08. Moving Forward V4-E35QVmp1f2k.mp4 1.43 MB
  08. Moving Forward V4-E35QVmp1f2k.zh-CN.vtt 688 B
  08. Moving Forward!.html 6.66 KB
  09. Access the Career Portal.html 8.5 KB
  img.zip 7.92 MB
  index.html 4.83 KB
  Part 01-Module 01-Lesson 02_Knowledge, Community, and Careers
  01. Getting Help.html 7.29 KB
  02. Knowledge.html 12.19 KB
  03. Student Hub.html 8.58 KB
  04. Community Initiatives.html 7.85 KB
  05. Access the Career Portal.html 7.97 KB
  img.zip 7.42 MB
  index.html 4.42 KB
  Part 01-Module 01-Lesson 03_Get Help with Your Account
  01. FAQ.html 6.12 KB
  02. Support.html 5.62 KB
  img.zip 2.22 MB
  index.html 4.15 KB
  Part 01-Module 01-Lesson 04_Image Representation _ Classification
  01. 01 Pattern Recognition V1-cX5EE1WEqhY.en.vtt 1.36 KB
  01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4 3.51 MB
  01. 01 Pattern Recognition V1-cX5EE1WEqhY.zh-CN.vtt 1.23 KB
  01. Intro to Pattern Recognition.html 10.07 KB
  02. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt 2.3 KB
  02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 6.3 MB
  02. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt 2.02 KB
  02. Emotional Intelligence.html 10.03 KB
  03. 08. Computer Vision Pipeline-64hFcqhnNow.en.vtt 1.69 KB
  03. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 3.47 MB
  03. 08. Computer Vision Pipeline-64hFcqhnNow.zh-CN.vtt 1.51 KB
  03. Computer Vision Pipeline.html 12.25 KB
  04. 09. Training a Model-m4GVfwVkj74.en.vtt 2.98 KB
  04. 09. Training a Model-m4GVfwVkj74.mp4 8.01 MB
  04. 09. Training a Model-m4GVfwVkj74.zh-CN.vtt 2.59 KB
  04. Training a Model.html 11.25 KB
  05. Separating Data.html 14.07 KB
  06. AffdexMe Demo-dpFtXDqakvY.en.vtt 1.91 KB
  06. AffdexMe Demo-dpFtXDqakvY.mp4 13.96 MB
  06. AffdexMe Demo-dpFtXDqakvY.zh-CN.vtt 1.64 KB
  06. AffdexMe Demo.html 9.14 KB
  07. Image Formation-6ZVnQYzfpis.en.vtt 2.52 KB
  07. Image Formation-6ZVnQYzfpis.mp4 4.42 MB
  07. Image Formation-6ZVnQYzfpis.zh-CN.vtt 2.25 KB
  07. Image Formation.html 8.76 KB
  08. Images as Grids of Pixels-RVNiaZuv6Ss.en.vtt 6.98 KB
  08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4 22.58 MB
  08. Images as Grids of Pixels-RVNiaZuv6Ss.zh-CN.vtt 6.28 KB
  08. Images as Grids of Pixels.html 9.56 KB
  09. Notebook Images as Numerical Data.html 9.34 KB
  10. Color Images--XbXiiGQ9gw.en.vtt 2.89 KB
  10. Color Images--XbXiiGQ9gw.mp4 9.6 MB
  10. Color Images--XbXiiGQ9gw.zh-CN.vtt 2.49 KB
  10. Color Images.html 10.15 KB
  11. Color or Grayscale.html 9.8 KB
  12. Notebook Visualizing RGB Channels.html 9.34 KB
  13. Color Thresholds-08ZlYZJaiUg.en.vtt 1.77 KB
  13. Color Thresholds-08ZlYZJaiUg.mp4 7.54 MB
  13. Color Thresholds-08ZlYZJaiUg.zh-CN.vtt 1.65 KB
  13. Color Thresholds.html 8.76 KB
  14. Coding A Blue Screen-jeeDryFxodk.en.vtt 11.2 KB
  14. Coding A Blue Screen-jeeDryFxodk.mp4 11.4 MB
  14. Coding A Blue Screen-jeeDryFxodk.zh-CN.vtt 10.34 KB
  14. Coding a Blue Screen.html 10.47 KB
  15. Notebook Blue Screen.html 9.31 KB
  16. Notebook Green Screen.html 9.32 KB
  17. Color Spaces and Transforms-B350aJVSsFc.en.vtt 7.52 KB
  17. Color Spaces and Transforms-B350aJVSsFc.mp4 9.9 MB
  17. Color Spaces and Transforms-B350aJVSsFc.zh-CN.vtt 6.87 KB
  17. Color Spaces and Transforms.html 9.34 KB
  18. Notebook Color Conversion.html 9.34 KB
  19. Day and Night Classification Challenge.html 10.17 KB
  20. Notebook Load and Visualize the Data.html 9.36 KB
  21. Labeled Data and Accuracy-FN96OM_JGyM.en.vtt 4.95 KB
  21. Labeled Data and Accuracy-FN96OM_JGyM.mp4 14.66 MB
  21. Labeled Data and Accuracy-FN96OM_JGyM.zh-CN.vtt 4.41 KB
  21. Labeled Data and Accuracy.html 11.51 KB
  22. Distinguishing Traits.html 10.14 KB
  23. Features.html 10.34 KB
  23. Nd113 C7 29 L Features-HshygbfQylA.en.vtt 1.86 KB
  23. Nd113 C7 29 L Features-HshygbfQylA.mp4 10.05 MB
  23. Nd113 C7 29 L Features-HshygbfQylA.zh-CN.vtt 1.62 KB
  24. Standardizing Output.html 11.45 KB
  25. Notebook Standardizing Day and Night Images.html 9.37 KB
  26. Average Brightness.html 10.18 KB
  26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.en.vtt 5.74 KB
  26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4 21.19 MB
  26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.zh-CN.vtt 5.05 KB
  27. Notebook Average Brightness Feature Extraction.html 9.38 KB
  28. Classification.html 10.26 KB
  28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.en.vtt 1.9 KB
  28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4 6.54 MB
  28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.zh-CN.vtt 1.74 KB
  29. Notebook Classification.html 9.31 KB
  30. Evaluation Metrics.html 10.8 KB
  30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.en.vtt 5.64 KB
  30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4 23.75 MB
  30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.zh-CN.vtt 4.89 KB
  31. Notebook Accuracy and Misclassification.html 9.38 KB
  32. Review and the Computer Vision Pipeline.html 10.23 KB
  img.zip 3.65 MB
  index.html 6.89 KB
  Part 01-Module 01-Lesson 05_Convolutional Filters and Edge Detection
  01. Filters and Finding Edges.html 9.35 KB
  01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.en.vtt 1.37 KB
  01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4 7.91 MB
  01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.zh-CN.vtt 1.21 KB
  02. Frequency in Images.html 12.42 KB
  03. Notebook Fourier Transforms.html 8.65 KB
  04. Quiz Fourier Tranform Image.html 9.64 KB
  05. High-pass Filters-OpcFn_H2V-Q.en.vtt 7.56 KB
  05. High-pass Filters-OpcFn_H2V-Q.mp4 8.25 MB
  05. High-pass Filters-OpcFn_H2V-Q.pt-BR.vtt 8.22 KB
  05. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt 6.57 KB
  05. High-pass Filters.html 9.43 KB
  06. Quiz Kernels.html 9.32 KB
  07. Creating a Filter-VEsdTRBH3D8.en.vtt 5.9 KB
  07. Creating a Filter-VEsdTRBH3D8.mp4 6.63 MB
  07. Creating a Filter-VEsdTRBH3D8.zh-CN.vtt 5.25 KB
  07. Creating a Filter.html 8.64 KB
  08. Gradients and Sobel Filters.html 11.99 KB
  09. Notebook Finding Edges.html 8.63 KB
  10. Low-pass Filters-jy5Be9vf2rk.en.vtt 4.81 KB
  10. Low-pass Filters-jy5Be9vf2rk.mp4 5.19 MB
  10. Low-pass Filters-jy5Be9vf2rk.zh-CN.vtt 4.22 KB
  10. Low-pass Filters.html 8.08 KB
  11. Gaussian Blur-1tlPonqIOrU.en.vtt 3.83 KB
  11. Gaussian Blur-1tlPonqIOrU.mp4 5.51 MB
  11. Gaussian Blur-1tlPonqIOrU.zh-CN.vtt 3.57 KB
  11. Gaussian Blur.html 8.65 KB
  12. Notebook Gaussian Blur.html 8.65 KB
  13. Notebook Fourier Transforms of Filters.html 8.68 KB
  14. Convolutional Layer.html 10.69 KB
  15. Canny Edge Detection-Nm1H2xMMS3I.en.vtt 5.62 KB
  15. Canny Edge Detection-Nm1H2xMMS3I.mp4 6.96 MB
  15. Canny Edge Detection-Nm1H2xMMS3I.zh-CN.vtt 5.05 KB
  15. Canny Edge Detector.html 8.54 KB
  16. Notebook Canny Edge Detection.html 8.65 KB
  17. Shape Detection.html 9.31 KB
  18. Hough Transform-RIOzsF1_xuo.en.vtt 3.69 KB
  18. Hough Transform-RIOzsF1_xuo.mp4 3.25 MB
  18. Hough Transform-RIOzsF1_xuo.zh-CN.vtt 3.5 KB
  18. Hough Transform.html 8.37 KB
  19. Quiz Hough Space.html 9.36 KB
  20. Hough Line Detection-PVIUkQKbrUw.en.vtt 3.83 KB
  20. Hough Line Detection-PVIUkQKbrUw.mp4 4.5 MB
  20. Hough Line Detection-PVIUkQKbrUw.zh-CN.vtt 3.5 KB
  20. Hough Line Detection.html 8.49 KB
  21. Notebook Hough Detections.html 8.67 KB
  22. Object Recognition _ Introducing Haar Cascades.html 10.79 KB
  23. Haar Cascades-vALIpxVfKRc.en.vtt 3.57 KB
  23. Haar Cascades-vALIpxVfKRc.mp4 3.05 MB
  23. Haar Cascades-vALIpxVfKRc.zh-CN.vtt 3.24 KB
  23. Haar Cascades.html 8.08 KB
  24. Notebook Haar Cascade Face Detection.html 8.69 KB
  25. Face Recognition and the Dangers of Bias.html 13.02 KB
  26. Beyond Edges, Selecting Different Features.html 11.86 KB
  img.zip 6.64 MB
  index.html 6.35 KB
  Part 01-Module 01-Lesson 06_Types of Features _ Image Segmentation
  01. Types Of Features-cJHro29nzgg.en.vtt 3.01 KB
  01. Types Of Features-cJHro29nzgg.mp4 3.33 MB
  01. Types Of Features-cJHro29nzgg.zh-CN.vtt 2.77 KB
  01. Types of Features.html 6.38 KB
  02. Corner Detectors-jemzDq07MEI.en.vtt 8.97 KB
  02. Corner Detectors-jemzDq07MEI.mp4 9.51 MB
  02. Corner Detectors-jemzDq07MEI.zh-CN.vtt 7.89 KB
  02. Corner Detectors.html 8.03 KB
  03. Notebook Find the Corners.html 7.48 KB
  04. Dilation and Erosion.html 10.49 KB
  05. Image Segmentation.html 7.56 KB
  06. Image Contours-Wcbrl7Wr_kU.en.vtt 5.08 KB
  06. Image Contours-Wcbrl7Wr_kU.mp4 5.27 MB
  06. Image Contours-Wcbrl7Wr_kU.zh-CN.vtt 4.56 KB
  06. Image Contours.html 6.84 KB
  07. Notebook Find Contours and Features.html 6.98 KB
  08. Solution Find Contours and Features.html 6.97 KB
  09. K-means Clustering-Cf_LSDCEBzk.en.vtt 6.44 KB
  09. K-means Clustering-Cf_LSDCEBzk.mp4 6.06 MB
  09. K-means Clustering-Cf_LSDCEBzk.zh-CN.vtt 5.84 KB
  09. K-means Clustering.html 6.4 KB
  10. K-means Implementation-poKlg-aB4rU.en.vtt 4.89 KB
  10. K-means Implementation-poKlg-aB4rU.mp4 6.26 MB
  10. K-means Implementation-poKlg-aB4rU.zh-CN.vtt 4.41 KB
  10. K-means Implementation.html 6.79 KB
  11. Notebook K-means Clustering.html 6.83 KB
  img.zip 1.32 MB
  index.html 5.02 KB
  Part 01-Module 01-Lesson 07_Feature Vectors
  01. Corners and Object Detection.html 7.63 KB
  02. Feature Vectors--PF1_MITrOw.en.vtt 2.63 KB
  02. Feature Vectors--PF1_MITrOw.mp4 2.5 MB
  02. Feature Vectors--PF1_MITrOw.zh-CN.vtt 2.45 KB
  02. Feature Vectors.html 6.67 KB
  03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.en.vtt 1.52 KB
  03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4 6.97 MB
  03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.zh-CN.vtt 1.31 KB
  03. Real-Time Feature Detection.html 6.76 KB
  04. 02 Introduction To ORB V3-WN37zcMhMas.en.vtt 2.18 KB
  04. 02 Introduction To ORB V3-WN37zcMhMas.mp4 2.91 MB
  04. 02 Introduction To ORB V3-WN37zcMhMas.zh-CN.vtt 1.84 KB
  04. Introduction to ORB.html 6.7 KB
  05. 03 Fast V3-DCHAc6fjcVM.en.vtt 4.34 KB
  05. 03 Fast V3-DCHAc6fjcVM.mp4 7.25 MB
  05. 03 Fast V3-DCHAc6fjcVM.zh-CN.vtt 3.67 KB
  05. FAST.html 6.61 KB
  06. Quiz FAST Keypoints.html 7.59 KB
  07. 04 Brief V4-EKIPEPpRciw.en.vtt 5.99 KB
  07. 04 Brief V4-EKIPEPpRciw.mp4 7.91 MB
  07. 04 Brief V4-EKIPEPpRciw.zh-CN.vtt 5.32 KB
  07. BRIEF.html 6.62 KB
  08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.en.vtt 6.58 KB
  08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.mp4 10.92 MB
  08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.zh-CN.vtt 5.6 KB
  08. Scale and Rotation Invariance.html 6.78 KB
  09. Notebook Image Pyramids.html 7.21 KB
  10. 07 Feature Matching V2-RH05Wnl1-2A.en.vtt 4.46 KB
  10. 07 Feature Matching V2-RH05Wnl1-2A.mp4 8.35 MB
  10. 07 Feature Matching V2-RH05Wnl1-2A.zh-CN.vtt 3.77 KB
  10. Feature Matching.html 6.68 KB
  11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.en.vtt 3 KB
  11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4 9.77 MB
  11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.zh-CN.vtt 2.56 KB
  11. ORB in Video.html 6.68 KB
  12. Notebook Implementing ORB.html 7.21 KB
  13. HOG.html 7.21 KB
  13. Histogram of Oriented Gradients-dqe9zGtxoNM.en.vtt 5.09 KB
  13. Histogram of Oriented Gradients-dqe9zGtxoNM.mp4 4.56 MB
  13. Histogram of Oriented Gradients-dqe9zGtxoNM.zh-CN.vtt 4.49 KB
  14. Notebook Implementing HOG.html 7.23 KB
  15. Learning to Find Features.html 6.94 KB
  img.zip 884.29 KB
  index.html 5.16 KB
  Part 01-Module 01-Lesson 08_CNN Layers and Feature Visualization
  01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.en.vtt 2.39 KB
  01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.mp4 4.66 MB
  01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.zh-CN.vtt 2.02 KB
  01. Introduction to CNN Layers.html 10.35 KB
  02. Review Training a Neural Network.html 10.48 KB
  03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt 1.75 KB
  03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4 5.03 MB
  03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt 1.53 KB
  03. Lesson Outline and Data.html 10.71 KB
  04. CNN Architecture, VGG-16.html 11.47 KB
  05. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt 9.92 KB
  05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4 19.85 MB
  05. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt 8.59 KB
  05. Convolutional Layers.html 8.58 KB
  06. Defining Layers in PyTorch.html 11.83 KB
  07. Notebook Visualizing a Convolutional Layer.html 9.13 KB
  08. Pooling, VGG-16 Architecture.html 9.93 KB
  09. Pooling Layers-OkkIZNs7Cyc.en.vtt 5.4 KB
  09. Pooling Layers-OkkIZNs7Cyc.mp4 5.82 MB
  09. Pooling Layers-OkkIZNs7Cyc.pt-BR.vtt 5.81 KB
  09. Pooling Layers-OkkIZNs7Cyc.zh-CN.vtt 4.64 KB
  09. Pooling Layers.html 8.93 KB
  10. Notebook Visualizing a Pooling Layer.html 9.11 KB
  11. Fully-Connected Layers, VGG-16.html 11.74 KB
  12. Notebook Visualizing FashionMNIST.html 9.09 KB
  13. Training in PyTorch.html 11.1 KB
  14. Notebook Fashion MNIST Training Exercise.html 9.13 KB
  15. Notebook FashionMNIST, Solution 1.html 9.09 KB
  16. Dropout-Ty6K6YiGdBs.en.vtt 4.71 KB
  16. Dropout-Ty6K6YiGdBs.mp4 4.22 MB
  16. Dropout-Ty6K6YiGdBs.pt-BR.vtt 4.66 KB
  16. Dropout-Ty6K6YiGdBs.zh-CN.vtt 4.06 KB
  16. Review Dropout.html 11.41 KB
  16. 动量-r-rYz_PEWC8.en.vtt 2.5 KB
  16. 动量-r-rYz_PEWC8.mp4 2.14 MB
  16. 动量-r-rYz_PEWC8.pt-BR.vtt 2.7 KB
  16. 动量-r-rYz_PEWC8.zh-CN.vtt 2.21 KB
  17. Notebook FashionMNIST, Solution 2.html 9.09 KB
  18. Network Structure.html 11.27 KB
  19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt 2.91 KB
  19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4 4.54 MB
  19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt 2.47 KB
  19. Feature Visualization.html 8.6 KB
  20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt 1.9 KB
  20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4 2.84 MB
  20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt 1.75 KB
  20. Feature Maps.html 8.55 KB
  21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt 3.4 KB
  21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4 9.51 MB
  21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt 3.01 KB
  21. First Convolutional Layer.html 8.66 KB
  22. Visualizing CNNs (Part 2).html 15.56 KB
  23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt 1.43 KB
  23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.mp4 3.35 MB
  23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.zh-CN.vtt 1.26 KB
  23. Visualizing Activations.html 9.05 KB
  24. Notebook Feature Viz for FashionMNIST.html 9.12 KB
  25. Last Feature Vector and t-SNE.html 15.96 KB
  26. Occlusion, Saliency, and Guided Backpropagation.html 13.45 KB
  27. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt 1.8 KB
  27. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.49 MB
  27. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt 1.48 KB
  27. Summary of Feature Viz.html 12.7 KB
  28. Image Classification _ Regression Challenges.html 9.4 KB
  img.zip 26.56 MB
  index.html 6.73 KB
  Part 01-Module 01-Lesson 09_Project Facial Keypoint Detection
  01. Project Overview.html 10.23 KB
  02. Workspaces Best Practices.html 10.28 KB
  03. Project Facial Keypoint Detection.html 6.27 KB
  Project Description - Facial Keypoint Detection.html 8.79 KB
  Project Rubric - Facial Keypoint Detection.html 12.1 KB
  img.zip 622.88 KB
  index.html 4.57 KB
  Part 01-Module 01-Lesson 10_Jobs in Computer Vision
  01. Jobs in Computer Vision.html 15.3 KB
  02. Real-World Applications of Computer Vision.html 8.93 KB
  03. Access the Career Portal.html 7.86 KB
  img.zip 6.6 MB
  index.html 4.33 KB
  Part 01-Module 01-Lesson 11_Optimize Your GitHub Profile
  01. Prove Your Skills With GitHub.html 11.13 KB
  02. Introduction-Vnj2VNQROtI.ar.vtt 2.28 KB
  02. Introduction-Vnj2VNQROtI.en.vtt 1.58 KB
  02. Introduction-Vnj2VNQROtI.ja-JP.vtt 1.97 KB
  02. Introduction-Vnj2VNQROtI.mp4 3.79 MB
  02. Introduction-Vnj2VNQROtI.pt-BR.vtt 1.79 KB
  02. Introduction-Vnj2VNQROtI.zh-CN.vtt 1.62 KB
  02. Introduction.html 8.05 KB
  03. GitHub profile important items-prvPVTjVkwQ.ar.vtt 3.93 KB
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  04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt 2.56 KB
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  05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.59 KB
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  05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 21.79 MB
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  06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 B
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  06. Identify fixes for example “bad” profile.html 10.99 KB
  07. Quick Fixes #1.html 7.76 KB
  07. Quick Fixes-Lb9e2KemR6I.ar.vtt 2.61 KB
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  08. Quick Fixes #2.html 8.74 KB
  09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt 1.5 KB
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  09. Writing READMEs with Walter.html 8.19 KB
  10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt 2.82 KB
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  10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.17 MB
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  10. Interview with Art - Part 2.html 7.92 KB
  11. Commit messages best practices.html 10.11 KB
  12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt 678 B
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  12. Reflect on your commit messages.html 8.54 KB
  13. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 B
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  13. Participating in open source projects-OxL-gMTizUA.mp4 2.77 MB
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  14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt 5.33 KB
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  14. Interview with Art - Part 3.html 7.93 KB
  15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt 2.16 KB
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  15. Participating in open source projects 2-elZCLxVvJrY.mp4 3.3 MB
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  15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt 1.3 KB
  15. Participating in open source projects 2.html 8.04 KB
  16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 B
  16. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 B
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  16. Starring interesting repositories-U3FUxkm1MxI.mp4 954.25 KB
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  16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt 812 B
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  16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 1.33 MB
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  16. Starring interesting repositories.html 9.45 KB
  17. Next Steps.html 8.07 KB
  Project Description - Optimize Your GitHub Profile.html 10.02 KB
  Project Rubric - Optimize Your GitHub Profile.html 9.88 KB
  img.zip 2.3 MB
  index.html 5.87 KB
  Part 02-Module 01-Lesson 01_Cloud Computing with Google Cloud
  01. Overview.html 8.51 KB
  02. Login and Redeem Credits.html 8.2 KB
  03. Create a Project.html 7.36 KB
  04. Access GPUs.html 8.2 KB
  05. Define a Quota.html 9.7 KB
  06. gcloud Command Line Tool.html 11.25 KB
  07. Launch an Instance.html 8.21 KB
  08. Login to the Instance.html 7.28 KB
  09. [IMPORTANT] Shutdown your Instance.html 9.44 KB
  img.zip 3.76 MB
  index.html 4.76 KB
  Part 03-Module 01-Lesson 01_Advanced CNN Architectures
  01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.en.vtt 3.09 KB
  01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.mp4 9.06 MB
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  01. CNN_s and Scene Understanding.html 6.4 KB
  02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.en.vtt 1.41 KB
  02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4 3.33 MB
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  02. More than Classification.html 6.35 KB
  03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.en.vtt 4.24 KB
  03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4 9.97 MB
  03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.zh-CN.vtt 3.62 KB
  03. Classification and Localization.html 7.14 KB
  04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.en.vtt 4.4 KB
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  04. Bounding Boxes and Regression.html 8.54 KB
  05. Quiz Loss Values.html 8.21 KB
  06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.en.vtt 3.5 KB
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  07. 06 RCNN V1 RENDER V2-EchapZJMTYU.en.vtt 3.08 KB
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  08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.en.vtt 2.26 KB
  08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.mp4 3 MB
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  08. Fast R-CNN.html 8.93 KB
  09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.en.vtt 1.92 KB
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  10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.en.vtt 1.53 KB
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  img.zip 2.78 MB
  index.html 4.87 KB
  Part 03-Module 01-Lesson 02_YOLO
  01. 01 Introduction V3-uyefSrHZesY.en.vtt 2.23 KB
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  01. Introduction to YOLO.html 6.77 KB
  02. 02 YOLO Output V2-MyOuuwk0qC4.en.vtt 2.66 KB
  02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 6.71 MB
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  03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.en.vtt 5.01 KB
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  05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.en.vtt 3.41 KB
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  07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.en.vtt 3.63 KB
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  08. Quiz Generating Boxes and Detecting Objects.html 8.53 KB
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  09. 07 Too Many Boxes V2-nYDWsFdFnQ8.mp4 1.89 MB
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  10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.en.vtt 1.51 KB
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  10. Intersection over Union (IoU).html 6.87 KB
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  14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.en.vtt 2.74 KB
  14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4 6.9 MB
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  14. YOLO Algorithm.html 7.31 KB
  15. Notebook YOLO Implementation.html 7.21 KB
  img.zip 3.29 MB
  index.html 5.23 KB
  Part 03-Module 01-Lesson 03_RNN_s
  01. RNN_s in Computer Vision.html 10.68 KB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt 4.46 KB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 20.89 MB
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  02. RNN Introduction.html 8.76 KB
  03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt 3.67 KB
  03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 24.26 MB
  03. 02 RNN History V4 Final-HbxAnYUfRnc.pt-BR.vtt 4.06 KB
  03. 02 RNN History V4 Final-HbxAnYUfRnc.zh-CN.vtt 3.29 KB
  03. RNN History.html 11.57 KB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt 2.71 KB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 17.27 MB
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  04. RNN Applications.html 9.75 KB
  05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt 5.62 KB
  05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 25.79 MB
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  05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt 4.53 KB
  05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 19.68 MB
  05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.pt-BR.vtt 4.65 KB
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  05. Feedforward Neural Network-Reminder.html 11.77 KB
  06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt 5.16 KB
  06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 17.74 MB
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  06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt 7.55 KB
  06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 26.65 MB
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  06. The Feedforward Process.html 15.68 KB
  07. Feedforward Quiz.html 11.08 KB
  08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt 8.51 KB
  08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 34.84 MB
  08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.pt-BR.vtt 8.44 KB
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  08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt 2.51 KB
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  08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.pt-BR.vtt 2.69 KB
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  08. Backpropagation- Theory.html 12.71 KB
  09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt 4.35 KB
  09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 14.77 MB
  09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.pt-BR.vtt 4.56 KB
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  09. Backpropagation - Example (part a).html 15.68 KB
  09. Regra da cadeia-YAhIBOnbt54.en.vtt 1.65 KB
  09. Regra da cadeia-YAhIBOnbt54.ja-JP.vtt 1.64 KB
  09. Regra da cadeia-YAhIBOnbt54.mp4 1.46 MB
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  10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt 8.33 KB
  10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 37.06 MB
  10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.pt-BR.vtt 8.99 KB
  10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.zh-CN.vtt 6.84 KB
  10. Backpropagation- Example (part b).html 19.65 KB
  11. Backpropagation Quiz.html 12.18 KB
  12. RNN (part a).html 10.25 KB
  12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt 5.64 KB
  12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.43 MB
  12. 14 RNN A V4 Final-ofbnDxGSUcg.pt-BR.vtt 5.8 KB
  12. 14 RNN A V4 Final-ofbnDxGSUcg.zh-CN.vtt 5.05 KB
  13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt 5.3 KB
  13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 21.12 MB
  13. 16 RNN B V4 Final-wsif3p5t7CI.pt-BR.vtt 5.93 KB
  13. 16 RNN B V4 Final-wsif3p5t7CI.zh-CN.vtt 4.62 KB
  13. RNN (part b).html 13.3 KB
  14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt 2.55 KB
  14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 10.5 MB
  14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.pt-BR.vtt 2.73 KB
  14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.zh-CN.vtt 2.2 KB
  14. RNN- Unfolded Model.html 8.22 KB
  15. Unfolded Model Quiz.html 9.54 KB
  16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt 5.05 KB
  16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 22.11 MB
  16. 18 RNN Example V5 Final-MDLk3fhpTx0.pt-BR.vtt 5.46 KB
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  16. RNN- Example.html 8.51 KB
  17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt 4.03 KB
  17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 21.57 MB
  17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.pt-BR.vtt 4.32 KB
  17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.zh-CN.vtt 3.52 KB
  17. Backpropagation Through Time (part a).html 13.59 KB
  18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt 4.4 KB
  18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 18.1 MB
  18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.pt-BR.vtt 4.7 KB
  18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.zh-CN.vtt 3.68 KB
  18. Backpropagation Through Time (part b).html 18.42 KB
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  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt 5.76 KB
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  25. From RNN to LSTM.html 10.63 KB
  26. Wrap Up.html 8.09 KB
  img.zip 20.64 MB
  index.html 6.06 KB
  Part 03-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)
  01. Intro to LSTM.html 7.76 KB
  02. RNN Vs LSTM-70MgF-IwAr8.en.vtt 4.71 KB
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  02. RNN vs LSTM.html 6.91 KB
  03. Basics of LSTM.html 6.92 KB
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  04. Architecture of LSTM.html 7 KB
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  11. Quiz.html 8.78 KB
  12. Notebook LSTM for Part of Speech Tagging.html 7.44 KB
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  15. Notebook Character-Level LSTM.html 7.4 KB
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  16. Other architectures.html 7.18 KB
  img.zip 386.73 KB
  index.html 5.35 KB
  Part 03-Module 01-Lesson 05_Hyperparameters
  01. Introducing Jay.html 6.55 KB
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  02. Introduction.html 6.27 KB
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  03. Learning Rate.html 6.9 KB
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  08. RNN Hyperparameters.html 12.89 KB
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  10. Sources _ References.html 7.34 KB
  img.zip 26.43 KB
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  Part 03-Module 01-Lesson 06_Optional Attention Mechanisms
  01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt 6.19 KB
  01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 12 MB
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  01. Introduction to Attention.html 7.66 KB
  02. Applications seq2seq-tDJBDwriJYQ.en.vtt 2.63 KB
  02. Applications seq2seq-tDJBDwriJYQ.mp4 2.48 MB
  02. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt 2.5 KB
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  02. Architecture encoder decoder-dkHdEAJnV_w.en.vtt 5.45 KB
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  02. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt 4.92 KB
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  02. Encoders and Decoders.html 9.46 KB
  03. Elective Text Sentiment Analysis.html 8.2 KB
  04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.en.vtt 3.85 KB
  04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4 3.76 MB
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  04. Sequence to Sequence Recap.html 7.67 KB
  05. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt 1.84 KB
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  05. Encoding -- Attention Overview.html 7.69 KB
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  10. Attention Encoder _ Decoder.html 9.89 KB
  11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt 6.31 KB
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  11. Bahdanau and Luong Attention.html 8.14 KB
  12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.en.vtt 7.6 KB
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  12. Multiplicative Attention.html 7.64 KB
  13. 09 Additive Attention V2-93VfVWZ-IvY.en.vtt 4.63 KB
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  13. Additive Attention.html 7.62 KB
  14. Additive and Multiplicative Attention.html 9.06 KB
  15. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt 6.47 KB
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  15. Computer Vision Applications.html 8.94 KB
  16. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt 5.84 KB
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  16. Other Attention Methods.html 8.06 KB
  17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt 6.47 KB
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  17. The Transformer and Self-Attention.html 7.73 KB
  18. Notebook Attention Basics.html 8 KB
  19. [SOLUTION] Attention Basics.html 7.98 KB
  20. Outro.html 7.77 KB
  img.zip 640.38 KB
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  Part 03-Module 01-Lesson 07_Image Captioning
  01. 01 L Introduction V3-dobNslC2y-o.en.vtt 2.41 KB
  01. 01 L Introduction V3-dobNslC2y-o.mp4 5.94 MB
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  01. Introduction to Image Captioning.html 6.38 KB
  02. 02 Leveraging Neural Networks V3-thClOUTiNxY.en.vtt 1.43 KB
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  03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.en.vtt 2.06 KB
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  05. CNN-RNN Model.html 6.31 KB
  06. 05 The Glue V5-u2ZdcUDnHm0.en.vtt 1.45 KB
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  07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.en.vtt 2.94 KB
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  09. 07 RNN Training V4-P-tHxD7kRmA.en.vtt 4.07 KB
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  10. 08 Video Captioning V1-I_m9JyKTfbQ.en.vtt 1.49 KB
  10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4 1.95 MB
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  11. 09 On To The Project V2-MsxNRaYTNSk.en.vtt 1.09 KB
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  Part 03-Module 01-Lesson 08_Project Image Captioning
  01. Project Overview.html 9.6 KB
  02. LSTM InputsOutputs.html 7.29 KB
  03. Introduction to GPU Workspaces.html 16.71 KB
  04. [submit from here] Project Image Captioning, PyTorch 0.4.html 6.44 KB
  Project Description - Image Captioning.html 8.09 KB
  Project Rubric - Image Captioning.html 11.61 KB
  img.zip 3.01 MB
  index.html 4.64 KB
  Part 03-Module 01-Lesson 09_Take 30 Min to Improve your LinkedIn
  01. Get Opportunities with LinkedIn.html 11.21 KB
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  01. Why Network-exjEm9Paszk.pt-BR.vtt 3.2 KB
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  02. Meet Chris-0ccflD9x5WU.ar.vtt 6.32 KB
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  02. Use Your Story to Stand Out.html 8.75 KB
  03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.13 KB
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  03. Why Use an Elevator Pitch.html 7.37 KB
  04. Create Your Elevator Pitch.html 8.52 KB
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  05. Use Your Elevator Pitch on LinkedIn.html 9.77 KB
  06. Create Your Profile With SEO In Mind.html 9.47 KB
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  08. Work Experiences _ Accomplishments.html 9.8 KB
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  10. Reaching Out on LinkedIn.html 9.36 KB
  11. Boost Your Visibility.html 8.58 KB
  12. Up Next.html 8.09 KB
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  img.zip 3.39 MB
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  Part 04-Module 01-Lesson 01_Introduction to Motion
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  02. Localization Intro.html 5.98 KB
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  03. Motion -A-QJf04LBb0.en.vtt 1.58 KB
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  03. Motion.html 5.91 KB
  04. Optical Flow-TOS8UJwCtTg.en.vtt 1.78 KB
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  05. 01 Motion Vector V2-I3f3IEUI2tg.en.vtt 2.75 KB
  05. 01 Motion Vector V2-I3f3IEUI2tg.mp4 3.64 MB
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  05. Motion Vector.html 8.78 KB
  06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.en.vtt 2.84 KB
  06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.mp4 3.57 MB
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  07. Notebook Optical Flow and Motion Vectors.html 6.58 KB
  08. 04 Tracking Features V2-uFf6IZ5MxgU.en.vtt 2.29 KB
  08. 04 Tracking Features V2-uFf6IZ5MxgU.mp4 3.74 MB
  08. 04 Tracking Features V2-uFf6IZ5MxgU.zh-CN.vtt 1.98 KB
  08. Tracking Features.html 7.16 KB
  img.zip 19.15 KB
  index.html 4.66 KB
  Part 04-Module 01-Lesson 02_Robot Localization
  01. Probability Review.html 16.44 KB
  02. Reduzindo a incerteza-zuFMhmKQ--o.ar.vtt 1.88 KB
  02. Reduzindo a incerteza-zuFMhmKQ--o.en.vtt 1.48 KB
  02. Reduzindo a incerteza-zuFMhmKQ--o.mp4 3.53 MB
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  02. Uncertainty and Bayes_ Rule.html 13.83 KB
  03. Reducing Uncertainty.html 8.93 KB
  04. Probability Distributions.html 14.12 KB
  04. 概率分布入门 1-gqPjMDVFvNg.en.vtt 1.07 KB
  04. 概率分布入门 1-gqPjMDVFvNg.mp4 2.2 MB
  04. 概率分布入门 1-gqPjMDVFvNg.zh-CN.vtt 942 B
  04. 概率分布入门 2-PglBg4eb_5M.en.vtt 2.74 KB
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  05. 03 Localization V1-OB6GZxfvESw.en.vtt 1.99 KB
  05. 03 Localization V1-OB6GZxfvESw.mp4 5.08 MB
  05. 03 Localization V1-OB6GZxfvESw.zh-CN.vtt 1.78 KB
  05. Localization.html 9.61 KB
  06. 05 Total Probability V4-RCEieE2t8U4.en.vtt 6.37 KB
  06. 05 Total Probability V4-RCEieE2t8U4.mp4 5.46 MB
  06. 05 Total Probability V4-RCEieE2t8U4.zh-CN.vtt 5.24 KB
  06. Total Probability.html 10.11 KB
  07. Notebook 1D Robot World.html 9.79 KB
  08. 09 Probability After Sense V1-aWQMJQQmNGw.en.vtt 2.01 KB
  08. 09 Probability After Sense V1-aWQMJQQmNGw.mp4 2.23 MB
  08. 09 Probability After Sense V1-aWQMJQQmNGw.zh-CN.vtt 1.82 KB
  08. Probability After Sense.html 12.92 KB
  09. Notebook Probability After Sense.html 9.82 KB
  10. 11 Normalize Distribution V1-ZGvmFn_u56o.en.vtt 497 B
  10. 11 Normalize Distribution V1-ZGvmFn_u56o.mp4 522.8 KB
  10. 11 Normalize Distribution V1-ZGvmFn_u56o.zh-CN.vtt 424 B
  10. Normalize Distribution.html 10.76 KB
  11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.en.vtt 1.75 KB
  11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.es-ES.vtt 1.74 KB
  11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.es.vtt 1.74 KB
  11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.it.vtt 1.79 KB
  11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.ja-JP.vtt 1.6 KB
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  11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.mp4 12.91 MB
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  11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.zh-CN.vtt 1.72 KB
  11. Sense Function.html 10.62 KB
  12. Notebook Sense Function.html 9.79 KB
  13. Answer Sense Function.html 10.72 KB
  13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.bn.vtt 518 B
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  13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.mp4 1.63 MB
  13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.pt-PT.vtt 1010 B
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  13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.zh-CN.vtt 948 B
  14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.en.vtt 348 B
  14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es-ES.vtt 362 B
  14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.es.vtt 359 B
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  14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.mp4 2.34 MB
  14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt-PT.vtt 387 B
  14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.pt.vtt 384 B
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  14. Normalized Sense Function.html 10.6 KB
  15. Notebook Normalized Sense Function.html 9.83 KB
  16. Answer Normalized Sense Function.html 10.7 KB
  16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.en.vtt 659 B
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  16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.mp4 1006.78 KB
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  17. 16 Test Sense Function V1-gytbuOI9-3g.en.vtt 1.32 KB
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  17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.en.vtt 503 B
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  17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.it.vtt 501 B
  17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.ja-JP.vtt 493 B
  17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.ja.vtt 500 B
  17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.mp4 3.47 MB
  17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt-PT.vtt 506 B
  17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.pt.vtt 503 B
  17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.zh-CN.vtt 487 B
  17. Test Sense Function.html 11.06 KB
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.en.vtt 786 B
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.es-ES.vtt 789 B
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.es.vtt 787 B
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.it.vtt 785 B
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.ja-JP.vtt 761 B
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.ja.vtt 722 B
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.mp4 4.1 MB
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt-PT.vtt 641 B
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.pt.vtt 639 B
  18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.zh-CN.vtt 779 B
  18. Multiple Measurements.html 10.54 KB
  19. Notebook Multiple Measurements.html 9.82 KB
  20. Answer Multiple Measurements.html 10.98 KB
  20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.en.vtt 1.03 KB
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  21. 18 Exact Motion V1-mNXm1wjTumY.en.vtt 1.08 KB
  21. 18 Exact Motion V1-mNXm1wjTumY.mp4 708.57 KB
  21. 18 Exact Motion V1-mNXm1wjTumY.zh-CN.vtt 954 B
  21. Exact Motion .html 10.42 KB
  22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.en.vtt 1.37 KB
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  22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.mp4 3.04 MB
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  22. Move Function.html 10.42 KB
  23. Notebook Move Function.html 9.79 KB
  24. Answer Move Function.html 10.54 KB
  24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.en.vtt 1.48 KB
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  24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.mp4 2.63 MB
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  24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.zh-CN.vtt 1.42 KB
  25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.en.vtt 2.26 KB
  25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.mp4 1.97 MB
  25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.zh-CN.vtt 1.88 KB
  25. Inexact Motion.html 10.58 KB
  26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.en.vtt 263 B
  26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.es-ES.vtt 351 B
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  26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.mp4 474.58 KB
  26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.pt-PT.vtt 255 B
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  26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.zh-CN.vtt 250 B
  26. Inexact Move Function.html 10.39 KB
  27. Notebook Inexact Move Function.html 9.82 KB
  28. Answer Inexact Move Function.html 10.49 KB
  28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.en.vtt 940 B
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  28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.mp4 1.63 MB
  28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.pt-PT.vtt 961 B
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  29. 24 Limit Distribution Quiz V3-NJvalJwjz18.en.vtt 1.52 KB
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  29. Limit Distribution.html 10.9 KB
  30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.en.vtt 337 B
  30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.es-ES.vtt 378 B
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  30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.mp4 2.37 MB
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  30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.en.vtt 290 B
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  31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.en.vtt 203 B
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  31. Move 1000.html 10.38 KB
  32. Notebook Multiple Moves.html 9.78 KB
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  33. Sense and Move.html 9.26 KB
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  36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.en.vtt 313 B
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  36. Sense and Move 2.html 10.97 KB
  37. Localization Summary.html 10.76 KB
  38. C++ Elective _ Implementation.html 10.97 KB
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  Part 04-Module 01-Lesson 03_Mini-project 2D Histogram Filter
  01. Project Overview-uaWZNKGTtgM.en.vtt 549 B
  01. Project Overview-uaWZNKGTtgM.mp4 2.17 MB
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  02. Notebook - Two Dimensional Histogram Filter.html 6.13 KB
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  Part 04-Module 01-Lesson 04_Introduction to Kalman Filters
  01. Kalman Filters and Linear Algebra.html 9.34 KB
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  02. Introduction-XZL934YQ-FQ.en.vtt 1.89 KB
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  06. Answer Gaussian Intro.html 8.79 KB
  07. Quiz Variance and Preferred Gaussian.html 10.96 KB
  08. Answer Variance and Preferred Gaussian.html 9.07 KB
  09. Gaussian Function and Maximum.html 10.38 KB
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  09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 8.34 MB
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  09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt 397 B
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  09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4 1.52 MB
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  10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.en.vtt 1.64 KB
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  10. Quiz Shifting the Mean.html 9.73 KB
  11. Answer Shifting the Mean.html 8.3 KB
  11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt 632 B
  11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.mp4 451.32 KB
  11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.zh-CN.vtt 533 B
  12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.en.vtt 979 B
  12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.mp4 768.11 KB
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  12. Quiz Predicting the Peak.html 9.68 KB
  13. Answer Predicting the Peak.html 8.32 KB
  13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.en.vtt 815 B
  13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.mp4 677.46 KB
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  14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.en.vtt 2.4 KB
  14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.mp4 2.14 MB
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  14. Quiz Parameter Update.html 10.01 KB
  15. Answer Parameter Update.html 8.47 KB
  15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.en.vtt 680 B
  15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.mp4 574.57 KB
  15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.zh-CN.vtt 517 B
  16. Notebook New Mean and Variance.html 8.75 KB
  17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.en.vtt 983 B
  17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.es-ES.vtt 1.02 KB
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  17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.zh-CN.vtt 891 B
  17. Solution New Mean and Variance.html 9.09 KB
  18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.en.vtt 3.6 KB
  18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4 3.04 MB
  18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.zh-CN.vtt 3.06 KB
  18. Quiz Gaussian Motion.html 10.05 KB
  19. Answer Gaussian Motion.html 8.32 KB
  20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.en.vtt 762 B
  20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.es-ES.vtt 819 B
  20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja-JP.vtt 812 B
  20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja.vtt 697 B
  20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4 1.2 MB
  20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.zh-CN.vtt 717 B
  20. Predict Function.html 8.8 KB
  21. Notebook Predict Function.html 8.73 KB
  22. Answer Predict Function.html 8.87 KB
  22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.en.vtt 297 B
  22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.es-ES.vtt 314 B
  22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja-JP.vtt 317 B
  22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja.vtt 340 B
  22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4 1.37 MB
  22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.zh-CN.vtt 292 B
  23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.en.vtt 2.1 KB
  23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.es-ES.vtt 2.19 KB
  23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja-JP.vtt 2.17 KB
  23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja.vtt 1.99 KB
  23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 4.76 MB
  23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ru.vtt 3.26 KB
  23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.zh-CN.vtt 1.85 KB
  23. Kalman Filter Code.html 8.97 KB
  24. Notebook 1D Kalman Filter.html 8.73 KB
  25. Answer 1D Kalman Filter.html 8.89 KB
  25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.en.vtt 5.76 KB
  25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.es-ES.vtt 6.15 KB
  25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja-JP.vtt 6.26 KB
  25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja.vtt 4.87 KB
  25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 14 MB
  25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.zh-CN.vtt 5.34 KB
  26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.en.vtt 3.23 KB
  26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4 2.53 MB
  26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.zh-CN.vtt 2.69 KB
  26. Kalman Prediction.html 8.25 KB
  27. Next Motion Models and State.html 8.64 KB
  img.zip 2.12 MB
  index.html 6.4 KB
  Part 04-Module 01-Lesson 05_Representing State and Motion
  01. Localization Steps-4SiMoSTf4rQ.en.vtt 2.94 KB
  01. Localization Steps-4SiMoSTf4rQ.mp4 4.06 MB
  01. Localization Steps-4SiMoSTf4rQ.zh-CN.vtt 2.69 KB
  01. Localization Steps.html 11.75 KB
  02. Intro To State-zfilXYrW4Gk.en.vtt 1.43 KB
  02. Intro To State-zfilXYrW4Gk.mp4 1.13 MB
  02. Intro To State-zfilXYrW4Gk.zh-CN.vtt 1.29 KB
  02. Intro to State.html 10.45 KB
  03. Motion Models-qSdbn_PVQnk.en.vtt 2.5 KB
  03. Motion Models-qSdbn_PVQnk.mp4 2.07 MB
  03. Motion Models-qSdbn_PVQnk.zh-CN.vtt 2.17 KB
  03. Motion Models.html 10.35 KB
  04. Quiz Predicting State.html 10.44 KB
  05. A Different Model-Mh0g-SMpMI4.en.vtt 1.74 KB
  05. A Different Model-Mh0g-SMpMI4.mp4 1.55 MB
  05. A Different Model-Mh0g-SMpMI4.zh-CN.vtt 1.6 KB
  05. A Different Model.html 13.5 KB
  06. Kinematics.html 14.02 KB
  07. Quantifying State-9zMbwSqTZAc.en.vtt 1.48 KB
  07. Quantifying State-9zMbwSqTZAc.mp4 5.01 MB
  07. Quantifying State-9zMbwSqTZAc.zh-CN.vtt 1.33 KB
  07. Quantifying State.html 11.9 KB
  08. Lesson Outline-jh7wLGXrm3E.en.vtt 904 B
  08. Lesson Outline-jh7wLGXrm3E.mp4 2.86 MB
  08. Lesson Outline-jh7wLGXrm3E.zh-CN.vtt 824 B
  08. Lesson Outline.html 8.64 KB
  09. Always Moving-EQBQlHvxAQA.en.vtt 3.2 KB
  09. Always Moving-EQBQlHvxAQA.mp4 3.65 MB
  09. Always Moving-EQBQlHvxAQA.zh-CN.vtt 2.75 KB
  09. Always Moving.html 12.03 KB
  10. Car Object-SnfhGZ76h7Y.en.vtt 4.72 KB
  10. Car Object-SnfhGZ76h7Y.mp4 5.12 MB
  10. Car Object-SnfhGZ76h7Y.zh-CN.vtt 4.46 KB
  10. Car Object.html 10.05 KB
  11. Interacting with a Car Object.html 8.15 KB
  12. Look at the Class Code.html 8.35 KB
  13. Turn Right.html 9 KB
  14. Adding Color.html 7.64 KB
  14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.en.vtt 5.41 KB
  14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4 6.06 MB
  14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.zh-CN.vtt 4.67 KB
  15. Instantiate Multiple Cars.html 8.13 KB
  16. Color Class.html 8.54 KB
  17. Overloading Functions.html 10.53 KB
  18. Overloading Color Addition.html 8.14 KB
  19. State Vector-st26ov_TVwM.en.vtt 1.49 KB
  19. State Vector-st26ov_TVwM.mp4 5.12 MB
  19. State Vector-st26ov_TVwM.zh-CN.vtt 1.35 KB
  19. State Vector.html 8.81 KB
  20. State Transformation Matrix-DRRuQMYo800.en.vtt 3.97 KB
  20. State Transformation Matrix-DRRuQMYo800.mp4 3.21 MB
  20. State Transformation Matrix-DRRuQMYo800.zh-CN.vtt 3.6 KB
  20. State Transformation Matrix.html 11.15 KB
  21. Matrix Multiplication.html 12.98 KB
  22. 1D State Vector and More Multiplication.html 10.42 KB
  23. Modify Predict State.html 8.13 KB
  24. Working With Matrices-nruxu8pr6i8.en.vtt 951 B
  24. Working With Matrices-nruxu8pr6i8.mp4 3.27 MB
  24. Working With Matrices-nruxu8pr6i8.zh-CN.vtt 853 B
  24. Working with Matrices.html 8.34 KB
  img.zip 800.23 KB
  index.html 5.88 KB
  Part 04-Module 01-Lesson 06_Matrices and Transformation of State
  01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.en.vtt 3.43 KB
  01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.mp4 3.27 MB
  01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.zh-CN.vtt 2.84 KB
  01. Kalman Filter Land.html 8.59 KB
  02. Kalman Filter Prediction.html 9.3 KB
  02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.en.vtt 2.02 KB
  02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.mp4 1.66 MB
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  02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.en.vtt 736 B
  02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.mp4 526.05 KB
  02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.zh-CN.vtt 609 B
  03. Another Prediction.html 9.24 KB
  03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.en.vtt 341 B
  03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.mp4 267.66 KB
  03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.zh-CN.vtt 262 B
  03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.en.vtt 410 B
  03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.mp4 273.59 KB
  03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.zh-CN.vtt 350 B
  04. More Kalman FIlters.html 8.86 KB
  04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.en.vtt 5.64 KB
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  04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.zh-CN.vtt 4.79 KB
  05. A Note on Notation.html 10.1 KB
  06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.en.vtt 3.82 KB
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  06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.zh-CN.vtt 3.16 KB
  06. Kalman Filter Design.html 9.04 KB
  07. Let_s Look at Where We Are.html 9.48 KB
  08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.en.vtt 2.67 KB
  08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4 7.49 MB
  08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.zh-CN.vtt 2.38 KB
  08. The Kalman Filter Equations.html 8.7 KB
  09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.en.vtt 4.11 KB
  09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4 3.8 MB
  09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.zh-CN.vtt 3.72 KB
  09. Simplifying the Kalman Filter Equations.html 10.12 KB
  10. The Rest of the Lesson.html 9.21 KB
  11. Representing State with Matrices.html 21.06 KB
  12. Kalman Equation Reference.html 10.58 KB
  13. What is a vector.html 10.29 KB
  14. Vectors in Python.html 13.87 KB
  15. Coding Vectors.html 9.06 KB
  16. Coding Vectors (solution).html 9.09 KB
  17. Guide to Mathematical Notation.html 9.1 KB
  18. Matrices in Python.html 19.27 KB
  19. Coding Matrices.html 9.06 KB
  20. Coding Matrices (Solution).html 9.08 KB
  21. Matrix Addition.html 14.35 KB
  22. Coding Matrix Addition.html 9.08 KB
  23. Matrix Multiplication.html 16.62 KB
  24. Coding Matrix Multiplication.html 9.09 KB
  25. Transpose of a Matrix.html 15.04 KB
  26. Coding the Transpose.html 9.07 KB
  27. The Identity Matrix.html 12.95 KB
  28. Coding Identity Matrix.html 9.07 KB
  29. Matrix Inverse.html 14.43 KB
  30. Coding Matrix Inverse.html 9.08 KB
  31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.en.vtt 1.47 KB
  31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4 3.75 MB
  31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.zh-CN.vtt 1.39 KB
  31. What to Take Away from this Lesson.html 8.78 KB
  img.zip 620.62 KB
  index.html 6.67 KB
  Part 04-Module 01-Lesson 07_Simultaneous Localization and Mapping
  01. 02 SLAM V1-UVkkDPJshgM.en.vtt 3.02 KB
  01. 02 SLAM V1-UVkkDPJshgM.mp4 4.18 MB
  01. 02 SLAM V1-UVkkDPJshgM.zh-CN.vtt 2.79 KB
  01. Introduction to SLAM.html 8.89 KB
  02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.en.vtt 5.71 KB
  02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4 5.54 MB
  02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.zh-CN.vtt 4.88 KB
  02. Quiz Graph SLAM.html 8.56 KB
  03. Answer Graph SLAM.html 8.52 KB
  04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.en.vtt 2.78 KB
  04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.mp4 2.46 MB
  04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.zh-CN.vtt 2.38 KB
  04. Quiz Implementing Constraints.html 12.02 KB
  05. 05 Implementing Constraints Solution V1-uLmGavXEN64.en.vtt 968 B
  05. 05 Implementing Constraints Solution V1-uLmGavXEN64.mp4 885.75 KB
  05. 05 Implementing Constraints Solution V1-uLmGavXEN64.zh-CN.vtt 754 B
  05. Answer Implementing Constraints.html 7.64 KB
  06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.en.vtt 937 B
  06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.mp4 793.62 KB
  06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.zh-CN.vtt 764 B
  06. Quiz Adding Landmarks.html 9.26 KB
  07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.en.vtt 647 B
  07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.mp4 609.67 KB
  07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.zh-CN.vtt 505 B
  07. Answer Adding Landmarks.html 7.59 KB
  08. Quiz Matrix Modification.html 8.39 KB
  08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.en.vtt 1.15 KB
  08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.mp4 1.06 MB
  08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.zh-CN.vtt 982 B
  09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.en.vtt 1.13 KB
  09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.mp4 988.79 KB
  09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.zh-CN.vtt 970 B
  09. Answer Matrix Modification.html 7.61 KB
  10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.en.vtt 723 B
  10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.mp4 540.98 KB
  10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.zh-CN.vtt 660 B
  10. Quiz Untouched Fields.html 8.31 KB
  11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.en.vtt 1.71 KB
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  11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.zh-CN.vtt 1.5 KB
  11. Answer Untouched Fields.html 7.61 KB
  12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.en.vtt 3.54 KB
  12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.mp4 4.75 MB
  12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.zh-CN.vtt 2.84 KB
  12. Quiz Omega and Xi.html 7.56 KB
  13. Notebook Omega and Xi .html 8.05 KB
  14. Quiz Landmark Position.html 8.05 KB
  15. Answer Landmark Position.html 7.92 KB
  16. Notebook Including Sensor Measurements.html 8.1 KB
  17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.en.vtt 1.55 KB
  17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.mp4 1.23 MB
  17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.zh-CN.vtt 1.3 KB
  17. Quiz Introducing Noise.html 9.28 KB
  18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.en.vtt 3.52 KB
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  18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.zh-CN.vtt 2.96 KB
  18. Answer Introducing Noise.html 7.62 KB
  19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.en.vtt 4.03 KB
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  19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.zh-CN.vtt 3.28 KB
  19. Confident Measurements.html 7.62 KB
  20. Notebook Confident Measurements.html 8.07 KB
  21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.en.vtt 4.8 KB
  21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4 13.61 MB
  21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.zh-CN.vtt 4.03 KB
  21. SLAM Summary.html 7.94 KB
  img.zip 2.21 MB
  index.html 5.89 KB
  Part 04-Module 01-Lesson 08_Optional Vehicle Motion and Calculus
  01. Introduction to Odometry.html 9.46 KB
  01. 惯性导航-vWgG0d2HOVE.en.vtt 2.05 KB
  01. 惯性导航-vWgG0d2HOVE.mp4 12.92 MB
  01. 惯性导航-vWgG0d2HOVE.zh-CN.vtt 1.83 KB
  02. Inertial Navigation Sensors.html 9.13 KB
  03. Plotting Position vs. Time.html 9.2 KB
  04. Interpreting Position vs. Time Graphs.html 12.59 KB
  04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.en.vtt 4.9 KB
  04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4 6.95 MB
  04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.zh-CN.vtt 4.31 KB
  05. A Typical Calculus Problem.html 10.85 KB
  05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.en.vtt 2.04 KB
  05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4 4.45 MB
  05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.zh-CN.vtt 1.77 KB
  06. How Odometers Work.html 10.21 KB
  07. Speed from Position Data.html 9.2 KB
  08. Position, Velocity, and Acceleration.html 10.41 KB
  09. Implement an Accelerometer.html 9.19 KB
  10. Differentiation Recap.html 12.51 KB
  11. Acceleration Basics.html 10 KB
  11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.en.vtt 2.48 KB
  11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4 3.76 MB
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  17. Integrating Accelerometer Data.html 9.19 KB
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  19. Integrating Rate Gyro Data.html 9.19 KB
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  21. Accumulating Errors.html 9.18 KB
  22. Sensor Strengths and Weaknesses.html 9.7 KB
  23. Summary and Back to Trigonometry.html 9.06 KB
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  29. Project Overview.html 12.94 KB
  30. Lab - Reconstructing Trajectories.html 9.09 KB
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  Part 04-Module 01-Lesson 09_Project Landmark Detection _ Tracking (SLAM)
  01. Project Overview.html 9.1 KB
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  Part 05-Module 01-Lesson 01_Applying Deep Learning Models
  01. Style Transfer.html 12.96 KB
  02. DeepTraffic.html 6.89 KB
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  03. Flappy Bird.html 7.75 KB
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  Part 06-Module 01-Lesson 01_Feedforward and Backpropagation
  01. Instructor.html 5.92 KB
  02. Why Neural Networks.html 5.98 KB
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  03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.02 KB
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  03. Combinando modelos-Boy3zHVrWB4.en.vtt 5.29 KB
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  03. Layers-pg99FkXYK0M.en.vtt 3.4 KB
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  03. Neural Network Architecture.html 10.97 KB
  04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.17 KB
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  Part 06-Module 01-Lesson 02_Training Neural Networks
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  04. Overfitting and Underfitting.html 6.96 KB
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  Part 06-Module 01-Lesson 03_Deep Learning with PyTorch
  01. Instructor.html 6.57 KB
  02. Introducing PyTorch.html 8.12 KB
  03. Part 1 V2-n4mbZYIfKb4.en.vtt 10.47 KB
  03. Part 1 V2-n4mbZYIfKb4.mp4 13.81 MB
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  03. PyTorch Tensors.html 7.38 KB
  04. Defining Networks.html 7.4 KB
  04. Py Part 2 V1-u50_ZyKqt8g.en.vtt 22.87 KB
  04. Py Part 2 V1-u50_ZyKqt8g.mp4 34.58 MB
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  05. Training Networks.html 7.41 KB
  06. Fashion-MNIST Exercise.html 7.44 KB
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  07. Inference _ Validation.html 7.44 KB
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  08. Py Part 6 V1-HiTih59dCWQ.en.vtt 7.76 KB
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  08. Saving and Loading Trained Networks.html 7.35 KB
  09. Loading Data Sets with Torchvision.html 7.47 KB
  09. PyTorch - Part 7-hFu7GTfRWks.en.vtt 10.67 KB
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  img.zip 441.77 KB
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  Part 07-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun
  01. Intro.html 8.46 KB
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  02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt 1.86 KB
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  07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt 526 B
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  09. Training The Neural Network-HwiI-UXUx-M.en.vtt 1.11 KB
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  10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt 853 B
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  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt 508 B
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  18. Images-1GdiN5Wc8LA.mp4 395.42 KB
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  18. Refresh on ROC Curves.html 11.78 KB
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt 791 B
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  19. Quiz ROC Curve.html 9.72 KB
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  20. Solution ROC Curve.html 8.55 KB
  21. Comparing our Results with Doctors.html 8.53 KB
  21. ROC Curve-fWwe_JlpnlQ.en.vtt 3.04 KB
  21. ROC Curve-fWwe_JlpnlQ.mp4 2.68 MB
  21. ROC Curve-fWwe_JlpnlQ.pt-BR.vtt 2.64 KB
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  22. Visualization-aGIGB4Ta3_A.en.vtt 1.85 KB
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  22. Visualization.html 8.51 KB
  23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt 2.17 KB
  23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4 3.46 MB
  23. What Is The Neural Network Looking At-qN-rvoxPbBw.pt-BR.vtt 1.72 KB
  23. What Is The Neural Network Looking At-qN-rvoxPbBw.zh-CN.vtt 1.87 KB
  23. What is the network looking at.html 8.68 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt 5.52 KB
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  24. Refresh on Confusion Matrices.html 16.05 KB
  25. Confusion Matrix-3rpN-YYlfes.en.vtt 1.66 KB
  25. Confusion Matrix-3rpN-YYlfes.mp4 3.07 MB
  25. Confusion Matrix-3rpN-YYlfes.pt-BR.vtt 1.54 KB
  25. Confusion Matrix-3rpN-YYlfes.zh-CN.vtt 1.41 KB
  25. Confusion Matrix.html 8.51 KB
  26. Conclusion-WhpE_8sTt-0.en.vtt 3.64 KB
  26. Conclusion-WhpE_8sTt-0.mp4 8.2 MB
  26. Conclusion-WhpE_8sTt-0.pt-BR.vtt 3.28 KB
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  26. Conclusion.html 8.47 KB
  27. Useful Resources.html 9.86 KB
  28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt 510 B
  28. Mini Project Introduction-Rgf3YVFWl-M.mp4 1.15 MB
  28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt 538 B
  28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt 475 B
  28. Mini Project Introduction.html 8.6 KB
  29. Mini Project Dermatologist AI.html 20.72 KB
  img.zip 6.42 MB
  index.html 6.63 KB
  media.zip 186.94 KB
  Part 08-Module 01-Lesson 01_Sentiment Analysis
  01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt 746 B
  01. Introducing Andrew Trask-ltO71Bm8b3M.mp4 4.08 MB
  01. Introducing Andrew Trask-ltO71Bm8b3M.pt-BR.vtt 1.26 KB
  01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt 685 B
  01. Introducing Andrew Trask.html 7.75 KB
  02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt 5.42 KB
  02. Andrew Trask - Intro-da1I0mea1jQ.mp4 23.76 MB
  02. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt 3.68 KB
  02. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt 4.94 KB
  02. Meet Andrew.html 8.03 KB
  03. Materials.html 9.98 KB
  04. The Notebooks.html 8.09 KB
  05. Framing the Problem-IsTOnkAKaJw.en.vtt 8.81 KB
  05. Framing the Problem-IsTOnkAKaJw.mp4 17.65 MB
  05. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt 7.85 KB
  05. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt 8.31 KB
  05. Framing the Problem.html 7.71 KB
  06. Mini Project 1.html 8.3 KB
  07. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt 8.83 KB
  07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 24.79 MB
  07. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt 7.59 KB
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  07. Mini Project 1 Solution.html 8.02 KB
  08. Transforming Text into Numbers-7rHBU5cbePE.en.vtt 5.04 KB
  08. Transforming Text into Numbers-7rHBU5cbePE.mp4 6.64 MB
  08. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt 4.24 KB
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  08. Transforming Text into Numbers.html 7.8 KB
  09. Mini Project 2.html 10.22 KB
  10. Mini Project 2 Solution-45ihpPaeO8E.en.vtt 5.12 KB
  10. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.22 MB
  10. Mini Project 2 Solution-45ihpPaeO8E.pt-BR.vtt 3.95 KB
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  10. Mini Project 2 Solution.html 8.02 KB
  11. Building a Neural Network-aM2k7RTjjJI.en.vtt 3.3 KB
  11. Building a Neural Network-aM2k7RTjjJI.mp4 10.17 MB
  11. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt 2.88 KB
  11. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt 2.88 KB
  11. Building a Neural Network.html 7.76 KB
  12. Mini Project 3.html 9.27 KB
  13. Mini Project 3 Solution-imnxzCev4SI.en.vtt 18.48 KB
  13. Mini Project 3 Solution-imnxzCev4SI.mp4 54.58 MB
  13. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt 15.8 KB
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  13. Mini Project 3 Solution.html 8.02 KB
  14. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt 15.63 KB
  14. Understanding Neural Noise-ubqhh4Iv7O4.mp4 50.21 MB
  14. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt 13.69 KB
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  14. Understanding Neural Noise.html 7.77 KB
  15. Mini Project 4.html 8.39 KB
  16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt 9.3 KB
  16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 20.67 MB
  16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt 7.84 KB
  16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt 8.2 KB
  16. Understanding Inefficiencies in our Network.html 7.9 KB
  17. Mini Project 5.html 9.18 KB
  18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt 9.55 KB
  18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 28.86 MB
  18. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt 8.27 KB
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  18. Mini Project 5 Solution.html 8.02 KB
  19. Further Noise Reduction-Kl3hWxizKVg.en.vtt 10.9 KB
  19. Further Noise Reduction-Kl3hWxizKVg.mp4 22.33 MB
  19. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt 10.16 KB
  19. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt 9.97 KB
  19. Further Noise Reduction.html 7.75 KB
  20. Mini Project 6.html 9.34 KB
  21. Mini Project 6 Solution-ji0famK7gOQ.en.vtt 13.94 KB
  21. Mini Project 6 Solution-ji0famK7gOQ.mp4 39.15 MB
  21. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt 12.17 KB
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  21. Mini Project 6 Solution.html 8.16 KB
  22. Analysis What_s Going on in the Weights-UHsT35pbpcE.en.vtt 13.69 KB
  22. Analysis What_s Going on in the Weights-UHsT35pbpcE.mp4 33.67 MB
  22. Analysis What_s Going on in the Weights-UHsT35pbpcE.pt-BR.vtt 12.59 KB
  22. Analysis What_s Going on in the Weights-UHsT35pbpcE.zh-CN.vtt 12.07 KB
  22. Analysis What_s Going on in the Weights.html 8.13 KB
  23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt 2.73 KB
  23. Andrew Trask - Outro-nIF0GLOQglQ.mp4 11.79 MB
  23. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt 2.19 KB
  23. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt 2.48 KB
  23. Conclusion.html 7.59 KB
  img.zip 67.87 KB
  index.html 5.88 KB
  Part 09-Module 01-Lesson 01_Fully-Convolutional Neural Networks _ Semantic Segmentation
  01. Intro-1sm1EbfilXI.en.vtt 1.04 KB
  01. Intro-1sm1EbfilXI.mp4 4.45 MB
  01. Intro-1sm1EbfilXI.zh-CN.vtt 985 B
  01. Intro.html 6.68 KB
  02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.en.vtt 2.19 KB
  02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4 2.57 MB
  02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.zh-CN.vtt 1.89 KB
  02. Why Fully Convolutional Networks (FCNs) .html 6.91 KB
  03. Fully Convolutional Networks-_Lh2ozg5yTs.en.vtt 1.5 KB
  03. Fully Convolutional Networks-_Lh2ozg5yTs.mp4 3 MB
  03. Fully Convolutional Networks-_Lh2ozg5yTs.zh-CN.vtt 1.26 KB
  03. Fully Convolutional Networks.html 6.83 KB
  04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.en.vtt 1.4 KB
  04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.mp4 1.15 MB
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  04. Fully Connected to 1x1 Convolution.html 6.86 KB
  05. Transposed Convolutions-K6mlLX8ZZDs.en.vtt 942 B
  05. Transposed Convolutions-K6mlLX8ZZDs.mp4 870.48 KB
  05. Transposed Convolutions-K6mlLX8ZZDs.zh-CN.vtt 850 B
  05. Transposed Convolutions.html 9.65 KB
  06. Skip Connections-JUYLA5PWzo0.en.vtt 1.57 KB
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  06. Skip Connections.html 6.73 KB
  07. FCNs In The Wild-q9wTd53-hsw.en.vtt 1.72 KB
  07. FCNs In The Wild-q9wTd53-hsw.mp4 1.47 MB
  07. FCNs In The Wild-q9wTd53-hsw.zh-CN.vtt 1.58 KB
  07. FCNs In The Wild.html 6.73 KB
  08. Bounding Boxes-uPv4d0Xl8hc.en.vtt 1.31 KB
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  08. Bounding Boxes.html 6.73 KB
  09. Semantic Segmentation-_L5gJnZrw48.en.vtt 905 B
  09. Semantic Segmentation-_L5gJnZrw48.mp4 1.74 MB
  09. Semantic Segmentation-_L5gJnZrw48.zh-CN.vtt 758 B
  09. Semantic Segmentation.html 6.79 KB
  10. Semantic Segmentation and FCN_s.html 11.21 KB
  11. Scene Understanding-aMQREc-mP50.en.vtt 896 B
  11. Scene Understanding-aMQREc-mP50.mp4 2.52 MB
  11. Scene Understanding-aMQREc-mP50.zh-CN.vtt 844 B
  11. Scene Understanding.html 6.74 KB
  12. IoU---9BTjOsO6U.en.vtt 2.04 KB
  12. IoU---9BTjOsO6U.mp4 3.36 MB
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  12. IoU.html 6.64 KB
  13. IOU Example.html 8.66 KB
  14. FCN-8 Architecture.html 10.44 KB
  15. Outro-vyNI5hdMigs.en.vtt 805 B
  15. Outro-vyNI5hdMigs.mp4 3.25 MB
  15. Outro-vyNI5hdMigs.zh-CN.vtt 708 B
  15. Outro.html 6.54 KB
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  Part 10-Module 01-Lesson 01_C++ Getting Started
  01. Introduction-ahoiVrq4qAk.en.vtt 1.6 KB
  01. Introduction-ahoiVrq4qAk.mp4 4.06 MB
  01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.44 KB
  01. Introduction.html 7.37 KB
  02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 1.91 KB
  02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
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  02. Lesson Overview.html 9.81 KB
  02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt 1.46 KB
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  03. Elecia White.html 8.6 KB
  04. Why C++-_t4ZvwfnuCA.en.vtt 2.67 KB
  04. Why C++-_t4ZvwfnuCA.mp4 11.98 MB
  04. Why C++-_t4ZvwfnuCA.zh-CN.vtt 2.41 KB
  04. Why C++.html 7.34 KB
  05. Python and C++ Comparison.html 13.33 KB
  06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.74 KB
  06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10.49 MB
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  06. Static vs Dynamic Typing.html 7.47 KB
  07. C++ - A Statically Typed Language.html 11.78 KB
  08. Basic Data Types.html 10.97 KB
  09. Floating versus Double [demonstration].html 12.32 KB
  10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt 1.36 KB
  10. Doubles Are Bigger-uhwTWgmM2iY.mp4 5.13 MB
  10. Doubles Are Bigger-uhwTWgmM2iY.zh-CN.vtt 1.4 KB
  10. Doubles are Bigger.html 7.43 KB
  11. Common Errors and Error Messages.html 15.13 KB
  12. C++ Functions.html 10.76 KB
  13. Anatomy of a Function.html 13.56 KB
  14. Multiple Outputs.html 8.84 KB
  15. Two Functions Same Name-0ZF649G58l4.en.vtt 1.52 KB
  15. Two Functions Same Name-0ZF649G58l4.mp4 6.09 MB
  15. Two Functions Same Name-0ZF649G58l4.zh-CN.vtt 1.46 KB
  15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.85 KB
  15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.16 MB
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  16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.6 KB
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  16. Function Signatures 1.html 8.75 KB
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  17. Function Signatures 2.html 8.37 KB
  17. Function Signatures 3 V1-U3QAFb3AS1M.en.vtt 583 B
  17. Function Signatures 3 V1-U3QAFb3AS1M.mp4 1.11 MB
  17. Function Signatures 3 V1-U3QAFb3AS1M.zh-CN.vtt 544 B
  18. If and Boolean Logic.html 17.9 KB
  19. While and For Loops.html 12.85 KB
  20. Switch Statement.html 14.07 KB
  21. Libraries.html 13.46 KB
  22. Forge on!.html 7.32 KB
  22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt 593 B
  22. Nd113 C Basics Last Video V1-dtu-RXovl0U.mp4 1.41 MB
  22. Nd113 C Basics Last Video V1-dtu-RXovl0U.zh-CN.vtt 572 B
  img.zip 434.6 KB
  index.html 5.73 KB
  Part 10-Module 01-Lesson 02_C++ Vectors
  01. C++ Vectors.html 10.55 KB
  02. Namespaces.html 12.04 KB
  03. Python Lists vs. C++ Vectors.html 7.21 KB
  04. Initializing Vector Values.html 9.63 KB
  05. Vector Methods.html 7.66 KB
  06. Vectors and For Loops.html 12.24 KB
  07. Math and Vectors.html 9.1 KB
  08. 1D Vector Playground.html 11.71 KB
  09. 2D Vectors.html 9.67 KB
  10. 2D Vectors and For Loops.html 7.37 KB
  11. 2D Vector Playground.html 9.58 KB
  12. Next Lesson.html 6.28 KB
  img.zip 124.4 KB
  index.html 4.9 KB
  Part 10-Module 01-Lesson 03_Practical C++
  01. Introduction To Compilation-dyzGEB8YDGg.en.vtt 4.74 KB
  01. Introduction To Compilation-dyzGEB8YDGg.mp4 7.96 MB
  01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt 4.31 KB
  01. Introduction to Compilation.html 8.27 KB
  02. Running Code Locally.html 13.9 KB
  03. C++ Versions.html 9.9 KB
  04. Structuring Functions and File Organization.html 16.02 KB
  05. Input and Output.html 7.48 KB
  06. Reading in Text Files.html 13.3 KB
  07. Outputting to Text Files.html 8.49 KB
  08. Exercises.html 8.4 KB
  index.html 4.67 KB
  Part 10-Module 01-Lesson 04_C++ Object Oriented Programming
  01. Introduction-4xHI5LFX-cQ.en.vtt 1003 B
  01. Introduction-4xHI5LFX-cQ.mp4 4.28 MB
  01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 B
  01. Introduction.html 8.28 KB
  02. Python vs. C++.html 14.62 KB
  03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt 2.16 KB
  03. Why Use Object Oriented Programming-G2KzZfNu9Ak.mp4 10.64 MB
  03. Why Use Object Oriented Programming-G2KzZfNu9Ak.zh-CN.vtt 1.95 KB
  03. Why use Object Oriented Programming.html 7.44 KB
  04. Using a Class in C++ [Demo].html 13.13 KB
  05. Explanation of the Main.cpp File.html 10.3 KB
  06. Practice Using a Class.html 14.23 KB
  07. Review Anatomy of a Class.html 11.95 KB
  08. Other Facets of C++ Classes.html 8.33 KB
  09. Private and Public.html 15.3 KB
  10. Header Files.html 13.39 KB
  11. Inclusion Guards.html 23.54 KB
  12. Implement a Class.html 7.65 KB
  13. Class Variables.html 11.13 KB
  14. Class Function Declarations.html 17.79 KB
  15. Constructor Functions.html 16.47 KB
  16. Set and Get Functions.html 14.17 KB
  17. Matrix Functions.html 17.96 KB
  18. Use an Inclusion Guard.html 12.96 KB
  19. Instantiate an Object.html 16.84 KB
  20. Running your Program Locally.html 7.7 KB
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  Part 10-Module 01-Lesson 05_Python and C++ Speed
  01. Introduction-JklGKdn3_go.en.vtt 375 B
  01. Introduction-JklGKdn3_go.mp4 1.11 MB
  01. Introduction-JklGKdn3_go.zh-CN.vtt 402 B
  01. Introduction.html 5.63 KB
  02. Executing the Move Function.html 6.39 KB
  03. Moving in Python.html 9.37 KB
  04. Moving in C++.html 12.8 KB
  05. Comparing Speeds.html 7.4 KB
  index.html 4.4 KB
  Part 10-Module 02-Lesson 01_C++ Intro to Optimization
  01. Course Introduction-Lwc5oYApdUM.en.vtt 1.23 KB
  01. Course Introduction-Lwc5oYApdUM.mp4 3.02 MB
  01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.16 KB
  01. Course Introduction.html 6.39 KB
  02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt 3.34 KB
  02. C Opt 01 L V2-Kdx1_BI5ddc.mp4 9.56 MB
  02. C Opt 01 L V2-Kdx1_BI5ddc.zh-CN.vtt 2.98 KB
  02. Empathize with the Computer.html 6.39 KB
  03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt 5.51 KB
  03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.mp4 6.03 MB
  03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.zh-CN.vtt 4.73 KB
  03. Intro to Computer Hardware.html 10.87 KB
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  04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.mp4 21.47 MB
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  Part 10-Module 02-Lesson 02_C++ Optimization Practice
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  Part 10-Module 02-Lesson 03_Project Optimize Histogram Filter
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Description


Lynda and other Courses >>> https://www.freecoursesonline.me/
For Developer Tools & Apps >>> https://ftuapps.com/
Forum for discussion >>> https://1hack.us/





Nanodegree Program–nd891
Publisher : Udacity
Subtitle : English CC Included
Updated : July 2020
Course Source : https://www.udacity.com/course/computer-vision-nanodegree--nd891

Become a Computer Vision Expert

Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.

ESTIMATED TIME
- 3 Months
- At 10-15 hrs/week

PREREQUISITES
- Python, Statistics, Machine Learning, & Deep Learning

What You Will Learn

Foundations of Computer Vision


Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Apply these concepts to vision tasks such as automatic image captioning and object tracking, and build a robust portfolio of computer vision projects.

PREREQUISITE KNOWLEDGE

This program requires experience with Python, statistics, machine learning, and deep learning.See detailed requirements.

Introduction to Computer Vision

Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks.

FACIAL KEYPOINT DETECTION

Advanced Computer Vision and Deep Learning

Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.

AUTOMATIC IMAGE CAPTIONING

Object Tracking and Localization

Learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.

LANDMARK DETECTION & TRACKING

Learn with the best

Sebastian Thrun, Cezanne Camacho, Alexis Cook, Juan Delgado, Jay Alammar, Ortal Arel, Luis Serrano

GET STARTED WITH

Computer Vision


LEARN
• Learn the essentials of computer vision, including image transformation, neural network architectures, and object recognition

AVERAGE TIME
• On average, successful students take null months to complete this program.

BENEFITS INCLUDE
• Real-world projects from industry experts
• Technical mentor support
• Personal career coach & career services

STAY SHARP WHILE STAYING IN
• Financial support available worldwide to help in this challenging time
• Spend your time at home learning new, higher-paying job skills
• Commit to a brighter future by learning today

Why should I enroll?

The demand for engineers with computer vision and deep learning skills far exceeds the current supply. This program offers a unique opportunity to develop these in-demand skills and is for anyone seeking to launch or advance their skills in modern computer vision techniques. You’ll complete several computer vision applications using a combination of Python, computer vision, and deep learning libraries that will serve as portfolio pieces that demonstrate the skills you’ve acquired.



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