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Udacity - Computer Vision Nanodegree [Course Drive]

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Udacity - Computer Vision Nanodegree [Course Drive] (Size: 2.66 GB)
  Course Downloaded from coursedrive.net.txt 428 B
  Udacity - Computer Vision Nanodegree nd891 v1.0.0
  Course Downloaded from coursedrive.net.txt 428 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 4.05 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 7.03 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 4.17 MB
  02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.zh-CN.vtt 2.02 KB
  02. Computer Vision in Industry.html 8.75 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 4.56 MB
  03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.zh-CN.vtt 2.01 KB
  03. Course Outline.html 5.61 KB
  04. Projects and Topics.html 8.75 KB
  05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.en.vtt 6.07 KB
  05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4 24.21 MB
  05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.zh-CN.vtt 5.6 KB
  05. Partnership with Industry.html 6.97 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 4.32 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 6.39 KB
  07. Deadline Policy.html 17.43 KB
  08. Udacity Support.html 9.47 KB
  09. Community Guidelines.html 8 KB
  10. Moving Forward V4-E35QVmp1f2k.en.vtt 736 B
  10. Moving Forward V4-E35QVmp1f2k.mp4 1.26 MB
  10. Moving Forward V4-E35QVmp1f2k.zh-CN.vtt 688 B
  10. Moving Forward!.html 6.02 KB
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  screen-shot-2018-05-25-at-10.42.15-am.png 381.85 KB
  study-group.png 415.28 KB
  index.html 4.26 KB
  Part 01-Module 01-Lesson 02_Image Representation & Classification
  01. 01 Pattern Recognition V1-cX5EE1WEqhY.en.vtt 1.36 KB
  01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4 3.87 MB
  01. 01 Pattern Recognition V1-cX5EE1WEqhY.zh-CN.vtt 1.23 KB
  01. Intro to Pattern Recognition.html 9.31 KB
  02. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt 2.3 KB
  02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 10.88 MB
  02. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt 2.02 KB
  02. Emotional Intelligence.html 9.28 KB
  03. 08. Computer Vision Pipeline-64hFcqhnNow.en.vtt 1.69 KB
  03. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 2.79 MB
  03. 08. Computer Vision Pipeline-64hFcqhnNow.zh-CN.vtt 1.51 KB
  03. Computer Vision Pipeline.html 11.39 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 10.48 KB
  05. Separating Data.html 13.33 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 8.34 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 8.04 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 8.74 KB
  09. Notebook Images as Numerical Data.html 8.62 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 9.43 KB
  11. Color or Grayscale.html 9.08 KB
  12. Notebook Visualizing RGB Channels.html 8.62 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 8.05 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 9.7 KB
  15. Notebook Blue Screen.html 8.59 KB
  16. Notebook Green Screen.html 8.6 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 8.49 KB
  18. Notebook Color Conversion.html 8.6 KB
  19. Day and Night Classification Challenge.html 9.42 KB
  20. Notebook Load and Visualize the Data.html 8.63 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 10.78 KB
  22. Distinguishing Traits.html 9.43 KB
  23. Features.html 9.63 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 10.7 KB
  25. Notebook Standardizing Day and Night Images.html 8.64 KB
  26. Average Brightness.html 9.44 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 8.65 KB
  28. Classification.html 9.53 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 8.6 KB
  30. Evaluation Metrics.html 10.06 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 8.63 KB
  32. Review and the Computer Vision Pipeline.html 9.62 KB
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  screen-shot-2018-04-23-at-4.14.19-pm.png 395.38 KB
  stop-sign-classification.png 211.5 KB
  index.html 6.25 KB
  Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection
  01. Filters and Finding Edges.html 8.61 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 11.62 KB
  03. Notebook Fourier Transforms.html 7.92 KB
  04. Quiz Fourier Tranform Image.html 8.91 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 8.62 KB
  06. Quiz Kernels.html 8.6 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 7.89 KB
  08. Gradients and Sobel Filters.html 11.25 KB
  09. Notebook Finding Edges.html 7.91 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 7.36 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 7.88 KB
  12. Notebook Gaussian Blur.html 7.91 KB
  13. Notebook Fourier Transforms of Filters.html 7.94 KB
  14. Convolutional Layer.html 9.95 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 7.78 KB
  16. Notebook Canny Edge Detection.html 7.93 KB
  17. Shape Detection.html 8.59 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 7.63 KB
  19. Quiz Hough Space.html 8.64 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 7.74 KB
  21. Notebook Hough Detections.html 7.92 KB
  22. Object Recognition Introducing Haar Cascades.html 10.03 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 7.35 KB
  24. Notebook Haar Cascade Face Detection.html 7.94 KB
  25. Face Recognition and the Dangers of Bias.html 12.1 KB
  26. Beyond Edges, Selecting Different Features.html 11.2 KB
  img
  diag-stripes.png 779.84 KB
  haar-2-gif.gif 170.1 KB
  screen-shot-2017-06-23-at-5.41.04-pm.png 576.62 KB
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  index.html 5.71 KB
  Part 01-Module 01-Lesson 04_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 5.67 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 6.29 KB
  03. Notebook Find the Corners.html 6.22 KB
  04. Dilation and Erosion.html 9.76 KB
  05. Image Segmentation.html 6.85 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 6.09 KB
  07. Notebook Find Contours and Features.html 6.24 KB
  08. Solution Find Contours and Features.html 6.24 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 5.68 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 6.04 KB
  11. Notebook K-means Clustering.html 6.23 KB
  img
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  index.html 4.38 KB
  Part 01-Module 01-Lesson 05_Feature Vectors
  01. Corners and Object Detection.html 6.91 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 5.95 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 6.04 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 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 5.91 KB
  06. Quiz FAST Keypoints.html 6.88 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 5.91 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 6.05 KB
  09. Notebook Image Pyramids.html 6.5 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 5.98 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 5.97 KB
  12. Notebook Implementing ORB.html 6.51 KB
  13. HOG.html 6.47 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 6.51 KB
  15. Learning to Find Features.html 6.34 KB
  img
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  index.html 4.54 KB
  Part 01-Module 01-Lesson 06_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 9.71 KB
  02. Review Training a Neural Network.html 9.84 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 10.05 KB
  04. CNN Architecture, VGG-16.html 10.87 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 7.99 KB
  06. Defining Layers in PyTorch.html 11.19 KB
  07. Notebook Visualizing a Convolutional Layer.html 8.52 KB
  08. Pooling, VGG-16 Architecture.html 9.33 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 8.3 KB
  10. Notebook Visualizing a Pooling Layer.html 8.5 KB
  11. Fully-Connected Layers, VGG-16.html 11.1 KB
  12. Notebook Visualizing FashionMNIST.html 8.5 KB
  13. Training in PyTorch.html 10.42 KB
  14. Notebook Fashion MNIST Training Exercise.html 8.51 KB
  15. Notebook FashionMNIST, Solution 1.html 8.5 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 10.76 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 8.5 KB
  18. Network Structure.html 10.63 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 8.02 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 7.96 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 8.06 KB
  22. Visualizing CNNs (Part 2).html 14.87 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 8.42 KB
  24. Notebook Feature Viz for FashionMNIST.html 8.51 KB
  25. Notebook Visualize Your Net Layers.html 8.5 KB
  26. Last Feature Vector and t-SNE.html 15.28 KB
  27. Occlusion, Saliency, and Guided Backpropagation.html 12.79 KB
  28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt 1.8 KB
  28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4 3.49 MB
  28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt 1.48 KB
  28. Summary of Feature Viz.html 12.06 KB
  29. Image Classification Regression Challenges.html 8.9 KB
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  vgg-16.png 172.87 KB
  index.html 6.2 KB
  Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection
  01. Project Overview.html 9.46 KB
  02. Workspaces Best Practices.html 9.5 KB
  03. Project Facial Keypoint Detection.html 5.66 KB
  Project Description - Facial Keypoint Detection.html 7.56 KB
  Project Rubric - Facial Keypoint Detection.html 11.24 KB
  img
  screen-shot-2018-04-10-at-8.24.14-pm.png 626.56 KB
  index.html 3.94 KB
  Part 02-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 8.43 MB
  01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.zh-CN.vtt 2.66 KB
  01. CNN's and Scene Understanding.html 5.67 KB
  02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.en.vtt 1.41 KB
  02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4 3.08 MB
  02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.zh-CN.vtt 1.22 KB
  02. More than Classification.html 5.62 KB
  03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.en.vtt 4.24 KB
  03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.mp4 8.12 MB
  03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.zh-CN.vtt 3.62 KB
  03. Classification and Localization.html 6.38 KB
  04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.en.vtt 4.4 KB
  04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.mp4 8.54 MB
  04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.zh-CN.vtt 3.77 KB
  04. Bounding Boxes and Regression.html 7.82 KB
  05. Quiz Loss Values.html 7.46 KB
  06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.en.vtt 3.5 KB
  06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.mp4 6.75 MB
  06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.zh-CN.vtt 3.08 KB
  06. Region Proposals.html 6.88 KB
  07. 06 RCNN V1 RENDER V2-EchapZJMTYU.en.vtt 3.08 KB
  07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4 5.84 MB
  07. 06 RCNN V1 RENDER V2-EchapZJMTYU.zh-CN.vtt 2.7 KB
  07. R-CNN.html 7.08 KB
  08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.en.vtt 2.26 KB
  08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.mp4 3 MB
  08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.zh-CN.vtt 1.97 KB
  08. Fast R-CNN.html 8.17 KB
  09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.en.vtt 1.92 KB
  09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.mp4 2.99 MB
  09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.zh-CN.vtt 1.7 KB
  09. Faster R-CNN.html 10.02 KB
  10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.en.vtt 1.53 KB
  10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.mp4 3.88 MB
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  10. Detection With and Without Proposals.html 5.66 KB
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  Part 02-Module 01-Lesson 02_YOLO
  01. 01 Introduction V3-uyefSrHZesY.en.vtt 2.23 KB
  01. 01 Introduction V3-uyefSrHZesY.mp4 5.97 MB
  01. 01 Introduction V3-uyefSrHZesY.zh-CN.vtt 1.94 KB
  01. Introduction to YOLO.html 6.06 KB
  02. 02 YOLO Output V2-MyOuuwk0qC4.en.vtt 2.66 KB
  02. 02 YOLO Output V2-MyOuuwk0qC4.mp4 6.07 MB
  02. 02 YOLO Output V2-MyOuuwk0qC4.zh-CN.vtt 2.31 KB
  02. YOLO Output.html 6.04 KB
  03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.en.vtt 5.01 KB
  03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4 9.42 MB
  03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.zh-CN.vtt 4.46 KB
  03. Sliding Windows, Revisited.html 6.19 KB
  04. CNN Sliding Windows .html 11.86 KB
  05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.en.vtt 3.41 KB
  05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.mp4 4.85 MB
  05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.zh-CN.vtt 3.03 KB
  05. Using a Grid.html 6.13 KB
  06. 05 Training On A Grid V2-uhefpakvXh8.en.vtt 2.2 KB
  06. 05 Training On A Grid V2-uhefpakvXh8.mp4 2.89 MB
  06. 05 Training On A Grid V2-uhefpakvXh8.zh-CN.vtt 1.94 KB
  06. Training on a Grid.html 6.08 KB
  07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.en.vtt 3.63 KB
  07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.mp4 6.55 MB
  07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.zh-CN.vtt 3.17 KB
  07. Generating Bounding Boxes.html 6.3 KB
  08. Quiz Generating Boxes and Detecting Objects.html 7.79 KB
  09. 07 Too Many Boxes V2-nYDWsFdFnQ8.en.vtt 844 B
  09. 07 Too Many Boxes V2-nYDWsFdFnQ8.mp4 1.89 MB
  09. 07 Too Many Boxes V2-nYDWsFdFnQ8.zh-CN.vtt 821 B
  09. Too Many Boxes.html 6.05 KB
  10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.en.vtt 1.51 KB
  10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.mp4 3.89 MB
  10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.zh-CN.vtt 1.27 KB
  10. Intersection over Union (IoU).html 6.13 KB
  11. Quiz IoU and Overlap Limits.html 9.41 KB
  12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.en.vtt 2.99 KB
  12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.mp4 6.6 MB
  12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.zh-CN.vtt 2.5 KB
  12. Non-Maximal Suppression.html 6.95 KB
  13. 10 Anchor Boxes V3-IzILYgVb76g.en.vtt 4.72 KB
  13. 10 Anchor Boxes V3-IzILYgVb76g.mp4 12.15 MB
  13. 10 Anchor Boxes V3-IzILYgVb76g.zh-CN.vtt 4.11 KB
  13. Anchor Boxes.html 6.51 KB
  14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.en.vtt 2.74 KB
  14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4 6.52 MB
  14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.zh-CN.vtt 2.49 KB
  14. YOLO Algorithm.html 6.56 KB
  15. Notebook YOLO Implementation.html 6.6 KB
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  Part 02-Module 01-Lesson 03_RNN's
  01. RNN's in Computer Vision.html 9.93 KB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt 4.46 KB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 20.89 MB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.pt-BR.vtt 4.75 KB
  02. 01 RNN Intro V6 Final-AIQEqg6F38A.zh-CN.vtt 4.05 KB
  02. RNN Introduction.html 8.06 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 10.63 KB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt 2.71 KB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 17.27 MB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.pt-BR.vtt 3.02 KB
  04. 03 RNN Applications V3 Final-6JbTNARuKII.zh-CN.vtt 2.56 KB
  04. RNN Applications.html 8.87 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
  05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.pt-BR.vtt 6.07 KB
  05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.zh-CN.vtt 4.96 KB
  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
  05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.zh-CN.vtt 4.03 KB
  05. Feedforward Neural Network-Reminder.html 11.02 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 14.79 KB
  07. Feedforward Quiz.html 10.37 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
  08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 12.76 MB
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  08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.zh-CN.vtt 2.17 KB
  08. Backpropagation- Theory.html 11.86 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
  09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.zh-CN.vtt 3.76 KB
  09. Backpropagation - Example (part a).html 14.73 KB
  09. Regra da cadeia-YAhIBOnbt54.en.vtt 1.65 KB
  09. Regra da cadeia-YAhIBOnbt54.mp4 1.46 MB
  09. Regra da cadeia-YAhIBOnbt54.pt-BR.vtt 1.73 KB
  09. Regra da cadeia-YAhIBOnbt54.zh-CN.vtt 1.42 KB
  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
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  10. Backpropagation- Example (part b).html 18.82 KB
  11. Backpropagation Quiz.html 11.41 KB
  12. RNN (part a).html 9.49 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
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  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
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  13. RNN (part b).html 12.55 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
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  14. RNN- Unfolded Model.html 7.5 KB
  15. Unfolded Model Quiz.html 8.81 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 7.79 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
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  17. Backpropagation Through Time (part a).html 12.75 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 17.6 KB
  19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt 3.29 KB
  19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 17.23 MB
  19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.pt-BR.vtt 3.66 KB
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  19. Backpropagation Through Time (part c).html 14.07 KB
  20. BPTT Quiz 1.html 9.08 KB
  21. BPTT Quiz 2.html 8.72 KB
  22. BPTT Quiz 3.html 12.22 KB
  23. Some more math.html 13.62 KB
  24. RNN Summary-nXP0oGGRrO8.en.vtt 5.61 KB
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  24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt 6.19 KB
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  24. RNN Summary.html 13.57 KB
  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt 5.76 KB
  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 36.16 MB
  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.pt-BR.vtt 6.64 KB
  25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.zh-CN.vtt 5.32 KB
  25. From RNN to LSTM.html 9.84 KB
  26. Wrap Up.html 7.51 KB
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  index.html 5.45 KB
  Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)
  01. Intro to LSTM.html 6.98 KB
  02. RNN Vs LSTM-70MgF-IwAr8.en.vtt 4.71 KB
  02. RNN Vs LSTM-70MgF-IwAr8.mp4 3.58 MB
  02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt 4.24 KB
  02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt 4.22 KB
  02. RNN vs LSTM.html 6.21 KB
  03. Basics of LSTM.html 6.21 KB
  03. LSTM Basics-gjb68a4XsqE.en.vtt 5.21 KB
  03. LSTM Basics-gjb68a4XsqE.mp4 4.03 MB
  03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt 5.06 KB
  03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt 4.59 KB
  04. Architecture of LSTM.html 6.25 KB
  04. LSTM Architecture-ycwthhdx8ws.en.vtt 1.49 KB
  04. LSTM Architecture-ycwthhdx8ws.mp4 1.07 MB
  04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt 1.46 KB
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  05. Notebook LSTM Structure and Hidden State, PyTorch.html 6.72 KB
  06. Learn Gate-aVHVI7ovbHY.en.vtt 2.63 KB
  06. Learn Gate-aVHVI7ovbHY.mp4 2.22 MB
  06. Learn Gate-aVHVI7ovbHY.pt-BR.vtt 2.66 KB
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  06. The Learn Gate.html 6.8 KB
  07. Forget Gate-iWxpfxLUPSU.en.vtt 1.26 KB
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  07. Forget Gate-iWxpfxLUPSU.pt-BR.vtt 1.33 KB
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  07. The Forget Gate.html 6.72 KB
  08. Remember Gate-0qlm86HaXuU.en.vtt 734 B
  08. Remember Gate-0qlm86HaXuU.mp4 676.91 KB
  08. Remember Gate-0qlm86HaXuU.pt-BR.vtt 700 B
  08. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 B
  08. The Remember Gate.html 6.62 KB
  09. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt 1.75 KB
  09. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 1.5 MB
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  09. The Use Gate.html 6.84 KB
  10. Putting It All Together-IF8FlKW-Zo0.en.vtt 2.42 KB
  10. Putting It All Together-IF8FlKW-Zo0.mp4 1.58 MB
  10. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt 2.36 KB
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  10. Putting it All Together.html 6.29 KB
  11. Quiz.html 8.03 KB
  12. Notebook LSTM for Part of Speech Tagging.html 6.71 KB
  13. Character-Level RNN.html 6.63 KB
  13. Character-Wise RNN-m_S2hs6-j5w.en.vtt 3.46 KB
  13. Character-Wise RNN-m_S2hs6-j5w.mp4 2.88 MB
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  14. Sequence Batching-pdSr5F-9qE0.en.vtt 2.14 KB
  14. Sequence Batching-pdSr5F-9qE0.mp4 2.29 MB
  14. Sequence Batching-pdSr5F-9qE0.zh-CN.vtt 1.91 KB
  14. Sequence Batching.html 6.69 KB
  15. Notebook Character-Level LSTM.html 6.68 KB
  16. Other Architectures-MsxFDuYlTuQ.en.vtt 2.31 KB
  16. Other Architectures-MsxFDuYlTuQ.mp4 1.71 MB
  16. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt 2.45 KB
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  16. Other architectures.html 6.66 KB
  img
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  Part 02-Module 01-Lesson 05_Hyperparameters
  01. Introducing Jay.html 5.82 KB
  02. Introduction-erwnzFD7AeE.en.vtt 2.34 KB
  02. Introduction-erwnzFD7AeE.mp4 2.22 MB
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  02. Introduction.html 5.56 KB
  03. Learning Rate-HLMjeDez7ps.en.vtt 11.68 KB
  03. Learning Rate-HLMjeDez7ps.mp4 9.62 MB
  03. Learning Rate-HLMjeDez7ps.pt-BR.vtt 10.29 KB
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  03. Learning Rate.html 6.12 KB
  04. Learning Rate.html 7.63 KB
  05. Minibatch Size-GrrO1NFxaW8.en.vtt 5.36 KB
  05. Minibatch Size-GrrO1NFxaW8.mp4 4.78 MB
  05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt 4.77 KB
  05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt 4.77 KB
  05. Minibatch Size.html 5.84 KB
  06. Number Of Iterations-TTdHpSb4DV8.en.vtt 1.63 KB
  06. Number Of Iterations-TTdHpSb4DV8.mp4 1.46 MB
  06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt 1.53 KB
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  06. Number of Training Iterations Epochs.html 8.29 KB
  07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt 3.23 KB
  07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.4 MB
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  07. Number of Hidden Units Layers.html 6.49 KB
  08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt 3.87 KB
  08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.12 MB
  08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt 3.71 KB
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  08. RNN Hyperparameters.html 11.81 KB
  09. RNN Hyperparameters.html 6.8 KB
  10. Sources References.html 6.57 KB
  img
  f3iwvmld-400x400.jpg?042148 26.43 KB
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  Part 02-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
  01. 01 Introduction To Attention V2-NCn97L5WbCY.pt-BR.vtt 6.82 KB
  01. 01 Introduction To Attention V2-NCn97L5WbCY.zh-CN.vtt 5.42 KB
  01. Introduction to Attention.html 6.93 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
  02. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.49 MB
  02. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt 4.92 KB
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  02. Encoders and Decoders.html 8.71 KB
  03. Elective Text Sentiment Analysis.html 7.46 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
  04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.pt-BR.vtt 4.26 KB
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  04. Sequence to Sequence Recap.html 6.93 KB
  05. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt 1.84 KB
  05. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4 1.73 MB
  05. 03 Attention Overview Encoding V2-IctAnMaVUKc.pt-BR.vtt 1.96 KB
  05. 03 Attention Overview Encoding V2-IctAnMaVUKc.zh-CN.vtt 1.65 KB
  05. Encoding -- Attention Overview.html 6.95 KB
  06. 04 Attention Overview Decoding V2-DJxiPd585GY.en.vtt 3.24 KB
  06. 04 Attention Overview Decoding V2-DJxiPd585GY.mp4 3.2 MB
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  06. Decoding -- Attention Overview.html 6.95 KB
  07. Attention Overview.html 9.24 KB
  08. 05 Attention Encoder V2-sphe9LDT4rA.en.vtt 2.76 KB
  08. 05 Attention Encoder V2-sphe9LDT4rA.mp4 2.41 MB
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  08. Attention Encoder.html 6.87 KB
  09. 06 Attention Decoder V1-5mMz6nN9_Ss.en.vtt 3.33 KB
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  09. Attention Decoder.html 6.87 KB
  10. Attention Encoder Decoder.html 9.15 KB
  11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt 6.31 KB
  11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 6.66 MB
  11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.pt-BR.vtt 6.71 KB
  11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.zh-CN.vtt 5.37 KB
  11. Bahdanau and Luong Attention.html 7.35 KB
  12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.en.vtt 7.6 KB
  12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.01 MB
  12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.pt-BR.vtt 8.3 KB
  12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.zh-CN.vtt 6.36 KB
  12. Multiplicative Attention.html 6.92 KB
  13. 09 Additive Attention V2-93VfVWZ-IvY.en.vtt 4.63 KB
  13. 09 Additive Attention V2-93VfVWZ-IvY.mp4 4.17 MB
  13. 09 Additive Attention V2-93VfVWZ-IvY.pt-BR.vtt 4.52 KB
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  13. Additive Attention.html 6.88 KB
  14. Additive and Multiplicative Attention.html 8.32 KB
  15. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt 6.47 KB
  15. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.62 MB
  15. 10 Computer Vision Applications V3-bhWwc4BYTYc.pt-BR.vtt 6.75 KB
  15. 10 Computer Vision Applications V3-bhWwc4BYTYc.zh-CN.vtt 5.67 KB
  15. Computer Vision Applications.html 8.05 KB
  16. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt 5.84 KB
  16. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 5.84 MB
  16. 11 Other Attention Methods V2-VmsR9FVpQiM.pt-BR.vtt 6.26 KB
  16. 11 Other Attention Methods V2-VmsR9FVpQiM.zh-CN.vtt 5.12 KB
  16. Other Attention Methods.html 7.27 KB
  17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt 6.47 KB
  17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.1 MB
  17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.pt-BR.vtt 6.35 KB
  17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.zh-CN.vtt 5.44 KB
  17. The Transformer and Self-Attention.html 6.99 KB
  18. Notebook Attention Basics.html 7.27 KB
  19. [SOLUTION] Attention Basics.html 7.27 KB
  20. Outro.html 7.18 KB
  img
  screen-shot-2018-05-03-at-2.40.39-pm.png 468.69 KB
  screen-shot-2018-05-03-at-3.44.59-pm.png 173.04 KB
  index.html 5.2 KB
  Part 02-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
  01. 01 L Introduction V3-dobNslC2y-o.zh-CN.vtt 2.11 KB
  01. Introduction to Image Captioning.html 5.64 KB
  02. 02 Leveraging Neural Networks V3-thClOUTiNxY.en.vtt 1.43 KB
  02. 02 Leveraging Neural Networks V3-thClOUTiNxY.mp4 2.56 MB
  02. 02 Leveraging Neural Networks V3-thClOUTiNxY.zh-CN.vtt 1.25 KB
  02. Leveraging Neural Networks.html 5.68 KB
  03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.en.vtt 2.06 KB
  03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.mp4 5.61 MB
  03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.zh-CN.vtt 1.8 KB
  03. Captions and the COCO Dataset.html 5.7 KB
  04. Visualize the Dataset.html 8.3 KB
  05. 04 CNNRNN Model V3-n7kdMiX1Xz8.en.vtt 2.14 KB
  05. 04 CNNRNN Model V3-n7kdMiX1Xz8.mp4 4.39 MB
  05. 04 CNNRNN Model V3-n7kdMiX1Xz8.zh-CN.vtt 1.92 KB
  05. CNN-RNN Model.html 5.6 KB
  06. 05 The Glue V5-u2ZdcUDnHm0.en.vtt 1.45 KB
  06. 05 The Glue V5-u2ZdcUDnHm0.mp4 6.02 MB
  06. 05 The Glue V5-u2ZdcUDnHm0.zh-CN.vtt 1.31 KB
  06. The Glue, Feature Vector.html 5.61 KB
  07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.en.vtt 2.94 KB
  07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.mp4 9.89 MB
  07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.zh-CN.vtt 2.69 KB
  07. Tokenizing Captions.html 5.64 KB
  08. Tokenization-4Ieotbeh4u8.en.vtt 2.89 KB
  08. Tokenization-4Ieotbeh4u8.mp4 3.22 MB
  08. Tokenization-4Ieotbeh4u8.pt-BR.vtt 3.28 KB
  08. Tokenization-4Ieotbeh4u8.zh-CN.vtt 2.59 KB
  08. Tokenizing Words.html 7.12 KB
  09. 07 RNN Training V4-P-tHxD7kRmA.en.vtt 4.07 KB
  09. 07 RNN Training V4-P-tHxD7kRmA.mp4 7.58 MB
  09. 07 RNN Training V4-P-tHxD7kRmA.zh-CN.vtt 3.61 KB
  09. RNN Training.html 6.61 KB
  10. 08 Video Captioning V1-I_m9JyKTfbQ.en.vtt 1.49 KB
  10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4 2.61 MB
  10. 08 Video Captioning V1-I_m9JyKTfbQ.zh-CN.vtt 1.32 KB
  10. Video Captioning.html 5.62 KB
  11. 09 On To The Project V2-MsxNRaYTNSk.en.vtt 1.09 KB
  11. 09 On To The Project V2-MsxNRaYTNSk.mp4 3.87 MB
  11. 09 On To The Project V2-MsxNRaYTNSk.zh-CN.vtt 913 B
  11. On to the Project!.html 6.1 KB
  img
  screen-shot-2018-05-03-at-3.09.44-pm.png 371.61 KB
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  index.html 4.28 KB
  Part 02-Module 01-Lesson 08_Project Image Captioning
  01. Project Overview.html 8.88 KB
  02. LSTM InputsOutputs.html 6.57 KB
  03. Introduction to GPU Workspaces.html 15.78 KB
  04. [submit from here] Project Image Captioning, PyTorch 0.4.html 5.82 KB
  Project Description - Image Captioning.html 6.85 KB
  Project Rubric - Image Captioning.html 11.03 KB
  img
  image-captioning.png 2.37 MB
  jupyter-logo.png 5.78 KB
  workspaces-gpu.png 145.5 KB
  workspaces-jupyter.png 83.54 KB
  workspaces-menu.png 93.96 KB
  workspaces-new.png 85.21 KB
  workspaces-notebook.png 142.9 KB
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  index.html 4.02 KB
  Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS
  01. Overview.html 6.86 KB
  02. Create an AWS Account.html 5.81 KB
  03. Get Access to GPU Instances.html 8.49 KB
  04. Apply Credits.html 6.55 KB
  05. Launch an Instance.html 12.45 KB
  06. Login to an Instance.html 9.24 KB
  img
  aws-add-sec-group.png 41.71 KB
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  launch-instance.png 22.52 KB
  launch.png 8.9 KB
  p2-limit-increase.png 188.22 KB
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  stop.png 47.54 KB
  index.html 3.88 KB
  Part 03-Module 01-Lesson 01_Introduction to Motion
  01. Object Tracking V4 (1)-ciEo6PyMTeM.en.vtt 1.68 KB
  01. Object Tracking V4 (1)-ciEo6PyMTeM.mp4 6.11 MB
  01. Object Tracking V4 (1)-ciEo6PyMTeM.zh-CN.vtt 1.55 KB
  01. Object Tracking.html 5.29 KB
  02. Localization Intro.html 5.28 KB
  02. Localization V1 (1)-QkVyEMTUkAw.en.vtt 1.18 KB
  02. Localization V1 (1)-QkVyEMTUkAw.mp4 2.62 MB
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  03. Motion -A-QJf04LBb0.en.vtt 1.58 KB
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  03. Motion.html 5.21 KB
  04. Optical Flow-TOS8UJwCtTg.en.vtt 1.78 KB
  04. Optical Flow-TOS8UJwCtTg.mp4 2.13 MB
  04. Optical Flow-TOS8UJwCtTg.zh-CN.vtt 1.59 KB
  04. Optical Flow.html 5.24 KB
  05. 01 Motion Vector V2-I3f3IEUI2tg.en.vtt 2.75 KB
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  05. Motion Vector.html 8.02 KB
  06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.en.vtt 2.84 KB
  06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.mp4 4.1 MB
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  07. Notebook Optical Flow and Motion Vectors.html 5.85 KB
  08. 04 Tracking Features V2-uFf6IZ5MxgU.en.vtt 2.29 KB
  08. 04 Tracking Features V2-uFf6IZ5MxgU.mp4 3.74 MB
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  08. Tracking Features.html 6.54 KB
  img
  screen-shot-2018-05-25-at-12.38.14-pm.png 20.75 KB
  index.html 4.03 KB
  Part 03-Module 01-Lesson 02_Robot Localization
  01. Probability Review.html 15.7 KB
  02. Reduzindo a incerteza-zuFMhmKQ--o.ar.vtt 1.88 KB
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  02. Uncertainty and Bayes' Rule.html 13.08 KB
  03. Reducing Uncertainty.html 8.79 KB
  03. Usando dados do sensor-vhl-SADfti8.ar.vtt 2.19 KB
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  04. Probability Distributions.html 13.39 KB
  04. 概率分布入门 1-gqPjMDVFvNg.en.vtt 1.07 KB
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  05. 03 Localization V1-OB6GZxfvESw.en.vtt 1.99 KB
  05. 03 Localization V1-OB6GZxfvESw.mp4 2.52 MB
  05. 03 Localization V1-OB6GZxfvESw.zh-CN.vtt 1.78 KB
  05. Localization.html 8.87 KB
  06. 05 Total Probability V4-RCEieE2t8U4.en.vtt 6.37 KB
  06. 05 Total Probability V4-RCEieE2t8U4.mp4 5.46 MB
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  06. Total Probability.html 9.39 KB
  07. Notebook 1D Robot World.html 9.07 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 12.18 KB
  09. Notebook Probability After Sense.html 9.09 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 10.04 KB
  11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.en.vtt 1.75 KB
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  11. Sense Function.html 9.74 KB
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  13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.bn.vtt 518 B
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  14. Normalized Sense Function.html 9.69 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.zh-CN.vtt 487 B
  17. Test Sense Function.html 10.16 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
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  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 9.64 KB
  19. Notebook Multiple Measurements.html 9.08 KB
  20. Answer Multiple Measurements.html 10.08 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
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  21. Exact Motion .html 9.71 KB
  22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.en.vtt 1.37 KB
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  22. Move Function.html 9.54 KB
  23. Notebook Move Function.html 9.07 KB
  24. Answer Move Function.html 9.65 KB
  24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.en.vtt 1.48 KB
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  25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.en.vtt 2.26 KB
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  26. Inexact Move Function.html 9.49 KB
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  30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.en.vtt 337 B
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  30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.en.vtt 290 B
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  32. Notebook Multiple Moves.html 9.07 KB
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  36. Sense and Move 2.html 10.08 KB
  37. Localization Summary.html 10.01 KB
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  Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter
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  Part 03-Module 01-Lesson 04_Introduction to Kalman Filters
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  03. Tracking Intro.html 8.84 KB
  04. Answer Tracking Intro.html 8.24 KB
  05. Gaussian Intro.html 9.2 KB
  05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.en.vtt 3.15 KB
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  06. Answer Gaussian Intro.html 8.05 KB
  07. Quiz Variance and Preferred Gaussian.html 10.27 KB
  08. Answer Variance and Preferred Gaussian.html 8.31 KB
  09. Gaussian Function and Maximum.html 9.32 KB
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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
  09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.zh-CN.vtt 349 B
  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 KB
  11. Answer Shifting the Mean.html 7.58 KB
  11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt 632 B
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  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
  12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.zh-CN.vtt 859 B
  12. Quiz Predicting the Peak.html 8.94 KB
  13. Answer Predicting the Peak.html 7.59 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
  13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.zh-CN.vtt 686 B
  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
  14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.zh-CN.vtt 2.12 KB
  14. Quiz Parameter Update.html 9.28 KB
  15. Answer Parameter Update.html 7.74 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 8.02 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
  17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ja.vtt 1.04 KB
  17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 6.31 MB
  17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ru.vtt 1.44 KB
  17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.zh-CN.vtt 891 B
  17. Solution New Mean and Variance.html 8.19 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 9.32 KB
  19. Answer Gaussian Motion.html 7.6 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
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  20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4 1.2 MB
  20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.zh-CN.vtt 711 B
  20. Predict Function.html 7.92 KB
  21. Notebook Predict Function.html 8.01 KB
  22. Answer Predict Function.html 7.99 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.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 280 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.vtt 1.99 KB
  23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 13.28 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 1.86 KB
  23. Kalman Filter Code.html 8.08 KB
  24. Notebook 1D Kalman Filter.html 8.01 KB
  25. Answer 1D Kalman Filter.html 8 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.vtt 4.87 KB
  25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 33.73 MB
  25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.zh-CN.vtt 5.3 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 7.52 KB
  27. Next Motion Models and State.html 8.04 KB
  img
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  index.html 5.77 KB
  Part 03-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 11.01 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 9.74 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 9.64 KB
  04. Quiz Predicting State.html 8.4 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 12.79 KB
  06. Kinematics.html 13.29 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 11.19 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 7.93 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 10.26 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 9.32 KB
  11. Interacting with a Car Object.html 7.43 KB
  12. Look at the Class Code.html 7.65 KB
  13. Turn Right.html 8.12 KB
  14. Adding Color.html 6.93 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 7.42 KB
  16. Color Class.html 7.76 KB
  17. Overloading Functions.html 9.79 KB
  18. Overloading Color Addition.html 7.43 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 8.09 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 10.39 KB
  21. Matrix Multiplication.html 12.19 KB
  22. 1D State Vector and More Multiplication.html 9.65 KB
  23. Modify Predict State.html 7.42 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 7.75 KB
  img
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  index.html 5.25 KB
  Part 03-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 7.87 KB
  02. Kalman Filter Prediction.html 8.58 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
  02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.zh-CN.vtt 1.77 KB
  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 8.52 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 8.14 KB
  04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.en.vtt 5.64 KB
  04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.mp4 4.55 MB
  04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.zh-CN.vtt 4.79 KB
  05. A Note on Notation.html 9.4 KB
  06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.en.vtt 3.82 KB
  06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.mp4 3.57 MB
  06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.zh-CN.vtt 3.16 KB
  06. Kalman Filter Design.html 8.31 KB
  07. Let's Look at Where We Are.html 8.75 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 7.96 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 9.38 KB
  10. The Rest of the Lesson.html 8.49 KB
  11. Representing State with Matrices.html 20.53 KB
  12. Kalman Equation Reference.html 9.79 KB
  13. What is a vector.html 9.59 KB
  14. Vectors in Python.html 13.15 KB
  15. Coding Vectors.html 8.35 KB
  16. Coding Vectors (solution).html 8.37 KB
  17. Guide to Mathematical Notation.html 8.38 KB
  18. Matrices in Python.html 18.52 KB
  19. Coding Matrices.html 8.35 KB
  20. Coding Matrices (Solution).html 8.37 KB
  21. Matrix Addition.html 13.64 KB
  22. Coding Matrix Addition.html 8.36 KB
  23. Matrix Multiplication.html 15.88 KB
  24. Coding Matrix Multiplication.html 8.37 KB
  25. Transpose of a Matrix.html 14.3 KB
  26. Coding the Transpose.html 8.36 KB
  27. The Identity Matrix.html 12.22 KB
  28. Coding Identity Matrix.html 8.36 KB
  29. Matrix Inverse.html 13.65 KB
  30. Coding Matrix Inverse.html 8.36 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 8.17 KB
  img
  2vector-columns.png 7.53 KB
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  full-matrix.png 18.3 KB
  matrix-addition.png 186.56 KB
  matrix-multiplication-identity-1.png 78.96 KB
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  matrix-multiplication-step1.png 83.72 KB
  matrix-multiplication-step2.png 84.51 KB
  matrix-multiplication-step4.png 94.2 KB
  matrix-multiplication-transpose-1.png 88.37 KB
  transpose-1.png 42.02 KB
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  vector-column.png 3.98 KB
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  index.html 6.03 KB
  Part 03-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 8.18 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 7.85 KB
  03. Answer Graph SLAM.html 7.8 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 11.27 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 6.91 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 8.53 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 6.86 KB
  08. Quiz Matrix Modification.html 7.65 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 6.88 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 7.59 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 6.89 KB
  12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.en.vtt 3.54 KB
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  19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.en.vtt 4.03 KB
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  21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.en.vtt 4.8 KB
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  21. SLAM Summary.html 7.35 KB
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  Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus
  01. Introduction to Odometry.html 8.73 KB
  01. 惯性导航-vWgG0d2HOVE.en.vtt 2.05 KB
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  02. Inertial Navigation Sensors.html 8.4 KB
  03. Plotting Position vs. Time.html 8.47 KB
  04. Interpreting Position vs. Time Graphs.html 11.84 KB
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  05. A Typical Calculus Problem.html 10.11 KB
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  06. How Odometers Work.html 9.48 KB
  07. Speed from Position Data.html 8.47 KB
  08. Position, Velocity, and Acceleration.html 9.68 KB
  09. Implement an Accelerometer.html 8.47 KB
  10. Differentiation Recap.html 11.79 KB
  11. Acceleration Basics.html 9.28 KB
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  12. Plotting Elevator Acceleration.html 8.48 KB
  13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.en.vtt 2.85 KB
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  14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.en.vtt 3.59 KB
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  16. Approximating Integrals with Code.html 8.48 KB
  17. Integrating Accelerometer Data.html 8.48 KB
  18. Rate Gyros-TmnecSf80b0.en.vtt 1.26 KB
  18. Rate Gyros-TmnecSf80b0.mp4 6.82 MB
  18. Rate Gyros-TmnecSf80b0.zh-CN.vtt 1.09 KB
  18. Rate Gyros.html 8.26 KB
  19. Integrating Rate Gyro Data.html 8.47 KB
  20. Working with Real Data-WvEcWtAz-OQ.en.vtt 1.51 KB
  20. Working with Real Data-WvEcWtAz-OQ.mp4 7.66 MB
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  20. Working with Real Data.html 8.19 KB
  21. Accumulating Errors.html 8.46 KB
  22. Sensor Strengths and Weaknesses.html 8.95 KB
  23. Summary and Back to Trigonometry.html 8.33 KB
  24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.en.vtt 914 B
  24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4 2.09 MB
  24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.zh-CN.vtt 772 B
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  25. Solving Trig Problems Part1-qI4i845d7Qg.en.vtt 2.38 KB
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  26. Keeping Track of x and y.html 8.47 KB
  27. Keeping Track of x and y (solution).html 8.49 KB
  28. Conclusion-gMbDqd4ItiU.en.vtt 1.15 KB
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  29. Project Overview.html 11.47 KB
  30. Lab - Reconstructing Trajectories.html 8.48 KB
  img
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  Part 03-Module 01-Lesson 09_Project Landmark Detection & Tracking (SLAM)
  01. Project Overview.html 8.29 KB
  02. Project Landmark Detection Tracking (SLAM).html 5.66 KB
  Project Description - Landmark Detection Tracking (SLAM).html 7.38 KB
  Project Rubric - Landmark Detection Tracking (SLAM).html 9.55 KB
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  index.html 3.95 KB
  Part 04-Module 01-Lesson 01_Applying Deep Learning Models
  01. Style Transfer.html 12.13 KB
  02. DeepTraffic.html 6.12 KB
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  03. Flappy Bird.html 6.66 KB
  04. Books to Read.html 5.82 KB
  img
  flappy-bird.jpg?042148 76.23 KB
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  index.html 3.68 KB
  Part 05-Module 01-Lesson 01_Feedforward and Backpropagation
  01. Instructor.html 5.22 KB
  02. Why Neural Networks-zAkzOZntK6Y.en.vtt 1.38 KB
  02. Why Neural Networks-zAkzOZntK6Y.mp4 982.27 KB
  02. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt 1.27 KB
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  02. Why Neural Networks.html 5.11 KB
  03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt 3.02 KB
  03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 2.83 MB
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  03. Combinando modelos-Boy3zHVrWB4.en.vtt 5.29 KB
  03. Combinando modelos-Boy3zHVrWB4.mp4 4.73 MB
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  03. Layers-pg99FkXYK0M.en.vtt 3.4 KB
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  03. Multiclass Classification-uNTtvxwfox0.en.vtt 2.08 KB
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  03. Neural Network Architecture.html 9.74 KB
  04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt 6.17 KB
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  Part 05-Module 01-Lesson 02_Training Neural Networks
  01. Instructor.html 6.18 KB
  02. Training Optimization-UiGKhx9pUYc.en.vtt 824 B
  02. Training Optimization-UiGKhx9pUYc.mp4 2.96 MB
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  02. Training Optimization.html 6.19 KB
  03. Testing-EeBZpb-PSac.en.vtt 2.41 KB
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  03. Testing-EeBZpb-PSac.pt-BR.vtt 2.37 KB
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  03. Testing.html 6.09 KB
  04. Overfitting and Underfitting.html 6.24 KB
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  06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt 1.15 KB
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  06. Regularization.html 7.21 KB
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  08. Dropout-Ty6K6YiGdBs.en.vtt 4.71 KB
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  09. Local Minima-gF_sW_nY-xw.en.vtt 1.14 KB
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  10. Random Restart-idyBBCzXiqg.en.vtt 466 B
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  11. Vanishing Gradient-W_JJm_5syFw.en.vtt 1.46 KB
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  12. Other Activation Functions-kA-1vUt6cvQ.en.vtt 2.68 KB
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  13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt 4.64 KB
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  15. Momentum-r-rYz_PEWC8.en.vtt 2.5 KB
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  img
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  Part 05-Module 01-Lesson 03_Deep Learning with PyTorch
  01. Instructor.html 5.86 KB
  02. Introducing PyTorch.html 7.36 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 6.67 KB
  04. Defining Networks.html 6.68 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. Py Part 3 V2-u8hDj5aJK6I.en.vtt 17.71 KB
  05. Py Part 3 V2-u8hDj5aJK6I.mp4 28.37 MB
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  05. Training Networks.html 6.68 KB
  06. Fashion-MNIST Exercise.html 6.71 KB
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  07. Inference Validation.html 6.7 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 6.6 KB
  09. Loading Data Sets with Torchvision.html 6.74 KB
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  10. Transfer Learning.html 6.68 KB
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  img
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  Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun
  01. Intro.html 7.77 KB
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  02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt 1.86 KB
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  02. 02 Skin Cancer V4-70jGZeiTNgk.pt-BR.vtt 1.74 KB
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  02. Skin Cancer.html 9.83 KB
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  03. Survival Rate-QPlp3NeGuSk.en.vtt 1.19 KB
  03. Survival Rate-QPlp3NeGuSk.mp4 1.52 MB
  03. Survival Rate-QPlp3NeGuSk.pt-BR.vtt 1.08 KB
  03. Survival Rate-QPlp3NeGuSk.zh-CN.vtt 996 B
  04. Medical Classification-RCOSP60dV7U.en.vtt 1.37 KB
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  04. Medical Classification-RCOSP60dV7U.pt-BR.vtt 1.18 KB
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  04. Medical Classification.html 7.85 KB
  05. The Data-2RLbbV7MQNA.en.vtt 1.97 KB
  05. The Data-2RLbbV7MQNA.mp4 2.85 MB
  05. The Data-2RLbbV7MQNA.pt-BR.vtt 1.71 KB
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  05. The data.html 7.75 KB
  06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt 1.07 KB
  06. 06 Image Challenge V3-Efnoj1KNPHw.mp4 1.46 MB
  06. 06 Image Challenge V3-Efnoj1KNPHw.pt-BR.vtt 937 B
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  06. Image Challenges.html 8.34 KB
  07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt 526 B
  07. 07 Quiz Data Challenges V1-F8yc7BlV93c.mp4 862.5 KB
  07. 07 Quiz Data Challenges V1-F8yc7BlV93c.pt-BR.vtt 482 B
  07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt 468 B
  07. Quiz Data Challenges.html 9.05 KB
  08. Solution Data Challenges-1z3o4niQuNg.en.vtt 867 B
  08. Solution Data Challenges-1z3o4niQuNg.mp4 1.49 MB
  08. Solution Data Challenges-1z3o4niQuNg.pt-BR.vtt 730 B
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  08. Solution Data Challenges.html 7.86 KB
  09. Training The Neural Network-HwiI-UXUx-M.en.vtt 1.11 KB
  09. Training The Neural Network-HwiI-UXUx-M.mp4 1.24 MB
  09. Training The Neural Network-HwiI-UXUx-M.pt-BR.vtt 977 B
  09. Training The Neural Network-HwiI-UXUx-M.zh-CN.vtt 995 B
  09. Training the Neural Network.html 7.88 KB
  10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt 853 B
  10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.mp4 1.58 MB
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  10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.zh-CN.vtt 734 B
  10. Quiz Random vs Pre-initialized Weights.html 8.94 KB
  11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.en.vtt 1.14 KB
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  11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.zh-CN.vtt 965 B
  11. Solution Random vs Pre-initialized Weight.html 7.99 KB
  12. Validating The Training-Oxm9ofvov3I.en.vtt 2.65 KB
  12. Validating The Training-Oxm9ofvov3I.mp4 5.51 MB
  12. Validating The Training-Oxm9ofvov3I.pt-BR.vtt 2.28 KB
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  12. Validating the Training.html 7.86 KB
  13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt 505 B
  13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.mp4 888.58 KB
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  13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.zh-CN.vtt 487 B
  13. Quiz Sensitivity and Specificity.html 9.49 KB
  14. Solution Sensitivity and Specificity.html 7.94 KB
  14. Solution Sensitivty And Specificity-GBZjyeMjKxc.en.vtt 850 B
  14. Solution Sensitivty And Specificity-GBZjyeMjKxc.mp4 1.57 MB
  14. Solution Sensitivty And Specificity-GBZjyeMjKxc.pt-BR.vtt 772 B
  14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt 766 B
  15. More on Sensitivity and Specificity.html 10.85 KB
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt 508 B
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4 1.14 MB
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt 472 B
  16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.zh-CN.vtt 456 B
  16. Quiz Diagnosing Cancer.html 8.82 KB
  17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt 1.47 KB
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  17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.pt-BR.vtt 1.34 KB
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  17. Solution Diagnosing Cancer.html 10.31 KB
  18. Images-1GdiN5Wc8LA.mp4 395.42 KB
  18. ROC Curve-2Iw5TiGzJI4.en.vtt 8.66 KB
  18. ROC Curve-2Iw5TiGzJI4.mp4 6.66 MB
  18. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt 8.12 KB
  18. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt 7.3 KB
  18. Refresh on ROC Curves.html 11.04 KB
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt 791 B
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp4 1.11 MB
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt 678 B
  19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt 729 B
  19. Quiz ROC Curve.html 9 KB
  20. Solution ROC Curve-sdUUf6RRmXI.en.vtt 943 B
  20. Solution ROC Curve-sdUUf6RRmXI.mp4 1.11 MB
  20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt 643 B
  20. Solution ROC Curve-sdUUf6RRmXI.zh-CN.vtt 823 B
  20. Solution ROC Curve.html 7.82 KB
  21. Comparing our Results with Doctors.html 7.81 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
  21. ROC Curve-fWwe_JlpnlQ.zh-CN.vtt 2.58 KB
  22. Visualization-aGIGB4Ta3_A.en.vtt 1.85 KB
  22. Visualization-aGIGB4Ta3_A.mp4 2.43 MB
  22. Visualization-aGIGB4Ta3_A.pt-BR.vtt 1.78 KB
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  22. Visualization.html 7.79 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 7.94 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt 5.52 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt 5.71 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 5.04 MB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt 4.76 KB
  24. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt 4.96 KB
  24. Refresh on Confusion Matrices.html 15.32 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 7.81 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
  26. Conclusion-WhpE_8sTt-0.zh-CN.vtt 3.26 KB
  26. Conclusion.html 7.77 KB
  27. Useful Resources.html 8.96 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 7.87 KB
  29. Mini Project Dermatologist AI.html 19.52 KB
  img
  cat-1.jpeg 230.78 KB
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  cat-3.png 575.91 KB
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  roc-curves.png 137.28 KB
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  sample-confusion-matrix.png 130.52 KB
  sample-roc-curve.png 46.33 KB
  sensitivity-specificity.png 155.14 KB
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  threshold.png 468.31 KB
  index.html 5.97 KB
  media
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  Part 07-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 7.04 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 7.31 KB
  03. Materials.html 9.2 KB
  04. The Notebooks.html 7.39 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 KB
  06. Mini Project 1.html 7.57 KB
  07. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt 8.83 KB
  07. Mini Project 1 Solution-l4r5l0HvHRI.mp4 24.79 MB
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  07. Mini Project 1 Solution.html 7.29 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
  08. Transforming Text into Numbers-7rHBU5cbePE.zh-CN.vtt 4.34 KB
  08. Transforming Text into Numbers.html 7.08 KB
  09. Mini Project 2.html 9.47 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 7.29 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
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  11. Building a Neural Network.html 7.04 KB
  12. Mini Project 3.html 8.52 KB
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  13. Mini Project 3 Solution-imnxzCev4SI.mp4 54.58 MB
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  13. Mini Project 3 Solution.html 7.29 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 7.05 KB
  15. Mini Project 4.html 7.64 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 7.17 KB
  17. Mini Project 5.html 8.44 KB
  18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt 9.55 KB
  18. Mini Project 5 Solution-Hv86B_jjWTI.mp4 28.86 MB
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  18. Mini Project 5 Solution.html 7.29 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 7.03 KB
  20. Mini Project 6.html 8.59 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 7.41 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 7.4 KB
  23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt 2.73 KB
  23. Andrew Trask - Outro-nIF0GLOQglQ.mp4 11.79 MB
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  23. Conclusion.html 7 KB
  img
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  index.html 5.26 KB
  Part 08-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 5.96 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 6.17 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 6.1 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 6.13 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 8.82 KB
  06. Skip Connections-JUYLA5PWzo0.en.vtt 1.57 KB
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  06. Skip Connections-JUYLA5PWzo0.zh-CN.vtt 1.35 KB
  06. Skip Connections.html 6.03 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 6.03 KB
  08. Bounding Boxes-uPv4d0Xl8hc.en.vtt 1.31 KB
  08. Bounding Boxes-uPv4d0Xl8hc.mp4 1.2 MB
  08. Bounding Boxes-uPv4d0Xl8hc.zh-CN.vtt 1.2 KB
  08. Bounding Boxes.html 6.01 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 6.05 KB
  10. Semantic Segmentation and FCN's.html 10.46 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 6.04 KB
  12. IoU---9BTjOsO6U.en.vtt 2.04 KB
  12. IoU---9BTjOsO6U.mp4 3.36 MB
  12. IoU---9BTjOsO6U.zh-CN.vtt 1.76 KB
  12. IoU.html 5.95 KB
  13. IOU Example.html 6.67 KB
  14. FCN-8 Architecture.html 9.68 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 5.96 KB
  img
  example.png 17.48 KB
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  screen-shot-2018-05-31-at-3.54.39-pm.png 72.75 KB
  screen-shot-2018-05-31-at-4.02.08-pm.png 223.85 KB
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  index.html 4.66 KB
  Part 09-Module 01-Lesson 01_C++ Getting Started
  01. Introduction-ahoiVrq4qAk.en.vtt 1.6 KB
  01. Introduction-ahoiVrq4qAk.mp4 6.03 MB
  01. Introduction-ahoiVrq4qAk.zh-CN.vtt 1.44 KB
  01. Introduction.html 6.67 KB
  02. Lesson Overview C++-lR3PH3bL-9U.en.vtt 1.91 KB
  02. Lesson Overview C++-lR3PH3bL-9U.mp4 7.4 MB
  02. Lesson Overview C++-lR3PH3bL-9U.zh-CN.vtt 1.67 KB
  02. Lesson Overview.html 8.98 KB
  02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt 1.46 KB
  02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.mp4 5.85 MB
  02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.zh-CN.vtt 1.3 KB
  03. Elecia White.html 7.77 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 6.64 KB
  05. Python and C++ Comparison.html 12.6 KB
  06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt 2.74 KB
  06. Static Vs Dynamic Typing-D7v6iIAORkE.mp4 10.49 MB
  06. Static Vs Dynamic Typing-D7v6iIAORkE.zh-CN.vtt 2.51 KB
  06. Static vs Dynamic Typing.html 6.74 KB
  07. C++ - A Statically Typed Language.html 11.06 KB
  08. Basic Data Types.html 10.24 KB
  09. Floating versus Double [demonstration].html 11.6 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 6.7 KB
  11. Common Errors and Error Messages.html 14.41 KB
  12. C++ Functions.html 10.05 KB
  13. Anatomy of a Function.html 12.85 KB
  14. Multiple Outputs.html 8.13 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 1.37 KB
  15. Two Functions Same Name-9SgmzOfBmRU.en.vtt 2.85 KB
  15. Two Functions Same Name-9SgmzOfBmRU.mp4 13.16 MB
  15. Two Functions Same Name-9SgmzOfBmRU.zh-CN.vtt 2.65 KB
  15. Two Functions Same Name.html 9.22 KB
  16. Function Signatures 1-T6kQ_4w98IQ.en.vtt 2.6 KB
  16. Function Signatures 1-T6kQ_4w98IQ.mp4 11.65 MB
  16. Function Signatures 1-T6kQ_4w98IQ.zh-CN.vtt 2.44 KB
  16. Function Signatures 1.html 8.03 KB
  17. Function Signatures 2-Sx4AWTmXl2U.en.vtt 1.56 KB
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  21. Libraries.html 12.62 KB
  22. Forge on!.html 6.73 KB
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  Part 09-Module 01-Lesson 02_C++ Vectors
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  02. Namespaces.html 11.31 KB
  03. Python Lists vs. C++ Vectors.html 6.48 KB
  04. Initializing Vector Values.html 8.92 KB
  05. Vector Methods.html 6.93 KB
  06. Vectors and For Loops.html 11.48 KB
  07. Math and Vectors.html 8.39 KB
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  01. Introduction To Compilation-dyzGEB8YDGg.zh-CN.vtt 4.31 KB
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  02. Running Code Locally.html 12.56 KB
  03. C++ Versions.html 9.24 KB
  04. Structuring Functions and File Organization.html 15.35 KB
  05. Input and Output.html 6.78 KB
  06. Reading in Text Files.html 12.58 KB
  07. Outputting to Text Files.html 7.79 KB
  08. Exercises.html 7.79 KB
  index.html 4.05 KB
  Part 09-Module 01-Lesson 04_C++ Object Oriented Programming
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  01. Introduction-4xHI5LFX-cQ.mp4 4.28 MB
  01. Introduction-4xHI5LFX-cQ.zh-CN.vtt 953 B
  01. Introduction.html 7.58 KB
  02. Python vs. C++.html 13.87 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 6.7 KB
  04. Using a Class in C++ [Demo].html 12.4 KB
  05. Explanation of the Main.cpp File.html 9.57 KB
  06. Practice Using a Class.html 13.52 KB
  07. Review Anatomy of a Class.html 11.23 KB
  08. Other Facets of C++ Classes.html 7.62 KB
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  15. Constructor Functions.html 15.77 KB
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  17. Matrix Functions.html 17.25 KB
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  20. Running your Program Locally.html 7.1 KB
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  01. Introduction-JklGKdn3_go.zh-CN.vtt 402 B
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  02. Executing the Move Function.html 5.67 KB
  03. Moving in Python.html 8.67 KB
  04. Moving in C++.html 12.1 KB
  05. Comparing Speeds.html 6.81 KB
  index.html 3.77 KB
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  01. Course Introduction-Lwc5oYApdUM.zh-CN.vtt 1.16 KB
  01. Course Introduction.html 5.66 KB
  02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt 3.34 KB
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  03. Intro to Computer Hardware.html 10.22 KB
  04. Embedded Terminal Explanation.html 13.17 KB
  04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.en.vtt 10.36 KB
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  04. Nd113 Embedded Terminal V1-Bhl5JQ_N9V8.zh-CN.vtt 9.21 KB
  05. Demo Machine Code.html 6.18 KB
  06. Assembly Language.html 7 KB
  07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.en.vtt 6.37 KB
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  07. Binary.html 11.64 KB
  08. Demo Binary.html 6.17 KB
  09. Demo Binary Floats.html 6.18 KB
  10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt 4.03 KB
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  10. Memory and the CPU.html 14.25 KB
  11. Demo Stack vs Heap.html 6.18 KB
  12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt 2.34 KB
  12. C Opt 05 L V3-rTtZVyWxYG8.mp4 4.47 MB
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  Part 09-Module 02-Lesson 02_C++ Optimization Practice
  01. Introduction.html 10.53 KB
  02. Software Development and Optimization.html 12.59 KB
  03. Optimization Techniques.html 12.95 KB
  04. Dead Code.html 10.58 KB
  05. Exercise Remove Dead Code.html 6.98 KB
  06. If Statements.html 9.38 KB
  07. Exercise If Statements.html 6.97 KB
  08. For Loops.html 7.84 KB
  09. Exercise For Loops.html 6.96 KB
  10. Intermediate Variables.html 8.32 KB
  11. Exercise Intermediate Variables.html 6.99 KB
  12. Vector Storage.html 8.44 KB
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  14. References.html 9.98 KB
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  18. Exercise Static Keyword.html 6.97 KB
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  19. Speed Challenge.html 6.42 KB
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  Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter
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  Visit Coursedrive.net.url 124 B

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Udacity - Computer Vision Nanodegree Download
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