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Udacity - Computer Vision Nanodegree [Course Drive]

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Udacity - Computer Vision Nanodegree [Course Drive]

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Udacity - Computer Vision Nanodegree [Course Drive]
Course Downloaded from coursedrive.net.txt
TXT
428 B
Udacity - Computer Vision Nanodegree nd891 v1.0.0
Course Downloaded from coursedrive.net.txt
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
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01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.mp4
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4.05 MB
01. 1 HS Welcome To Computer Vision V2Demo1 V2-9s-gm2ZvODI.zh-CN.vtt
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1.77 KB
01. Welcome to the Computer Vision Nanodegree Program.html
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7.03 KB
02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.en.vtt
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2.23 KB
02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.mp4
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4.17 MB
02. 2 HSA Computer Vision In Industry V3 Demo02 V3-_8be3GdqfqU.zh-CN.vtt
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2.02 KB
02. Computer Vision in Industry.html
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8.75 KB
03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.en.vtt
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03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.mp4
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4.56 MB
03. 3 HSA Course Outline V3 Demo01 1 V3-INMNyJGB2DI.zh-CN.vtt
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03. Course Outline.html
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5.61 KB
04. Projects and Topics.html
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8.75 KB
05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.en.vtt
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05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.mp4
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05. Meet Danny Shapiro At Nvidia-wm1aZZvF6Is.zh-CN.vtt
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05. Partnership with Industry.html
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06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.en.vtt
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06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.mp4
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06. 4 HSA Learning In The Classroom V3 Demov1 V3-KN_SROb6SnM.zh-CN.vtt
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3.39 KB
06. Learning in the Classroom.html
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6.39 KB
07. Deadline Policy.html
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17.43 KB
08. Udacity Support.html
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9.47 KB
09. Community Guidelines.html
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8 KB
10. Moving Forward V4-E35QVmp1f2k.en.vtt
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10. Moving Forward V4-E35QVmp1f2k.mp4
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10. Moving Forward V4-E35QVmp1f2k.zh-CN.vtt
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10. Moving Forward!.html
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6.02 KB
img
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screen-shot-2018-03-23-at-4.51.33-pm.png
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screen-shot-2018-03-23-at-4.52.35-pm.png
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screen-shot-2018-04-06-at-2.28.09-pm.png
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screen-shot-2018-05-25-at-10.42.15-am.png
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study-group.png
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index.html
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4.26 KB
Part 01-Module 01-Lesson 02_Image Representation & Classification
01. 01 Pattern Recognition V1-cX5EE1WEqhY.en.vtt
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01. 01 Pattern Recognition V1-cX5EE1WEqhY.mp4
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3.87 MB
01. 01 Pattern Recognition V1-cX5EE1WEqhY.zh-CN.vtt
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01. Intro to Pattern Recognition.html
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02. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt
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02. 05. Emotional Intelligence-D_LzJsJH5qk.mp4
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10.88 MB
02. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt
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2.02 KB
02. Emotional Intelligence.html
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9.28 KB
03. 08. Computer Vision Pipeline-64hFcqhnNow.en.vtt
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03. 08. Computer Vision Pipeline-64hFcqhnNow.mp4
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03. 08. Computer Vision Pipeline-64hFcqhnNow.zh-CN.vtt
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03. Computer Vision Pipeline.html
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04. 09. Training a Model-m4GVfwVkj74.en.vtt
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04. 09. Training a Model-m4GVfwVkj74.mp4
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04. 09. Training a Model-m4GVfwVkj74.zh-CN.vtt
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04. Training a Model.html
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05. Separating Data.html
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13.33 KB
06. AffdexMe Demo-dpFtXDqakvY.en.vtt
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06. AffdexMe Demo-dpFtXDqakvY.mp4
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06. AffdexMe Demo-dpFtXDqakvY.zh-CN.vtt
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06. AffdexMe Demo.html
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07. Image Formation-6ZVnQYzfpis.en.vtt
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07. Image Formation-6ZVnQYzfpis.mp4
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07. Image Formation-6ZVnQYzfpis.zh-CN.vtt
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07. Image Formation.html
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08. Images as Grids of Pixels-RVNiaZuv6Ss.en.vtt
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08. Images as Grids of Pixels-RVNiaZuv6Ss.mp4
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08. Images as Grids of Pixels-RVNiaZuv6Ss.zh-CN.vtt
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08. Images as Grids of Pixels.html
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09. Notebook Images as Numerical Data.html
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10. Color Images--XbXiiGQ9gw.en.vtt
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10. Color Images--XbXiiGQ9gw.mp4
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10. Color Images--XbXiiGQ9gw.zh-CN.vtt
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10. Color Images.html
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11. Color or Grayscale.html
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12. Notebook Visualizing RGB Channels.html
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13. Color Thresholds-08ZlYZJaiUg.en.vtt
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13. Color Thresholds-08ZlYZJaiUg.mp4
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13. Color Thresholds-08ZlYZJaiUg.zh-CN.vtt
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13. Color Thresholds.html
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14. Coding A Blue Screen-jeeDryFxodk.en.vtt
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14. Coding A Blue Screen-jeeDryFxodk.mp4
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14. Coding A Blue Screen-jeeDryFxodk.zh-CN.vtt
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14. Coding a Blue Screen.html
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15. Notebook Blue Screen.html
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16. Notebook Green Screen.html
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17. Color Spaces and Transforms-B350aJVSsFc.en.vtt
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17. Color Spaces and Transforms-B350aJVSsFc.mp4
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17. Color Spaces and Transforms-B350aJVSsFc.zh-CN.vtt
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17. Color Spaces and Transforms.html
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18. Notebook Color Conversion.html
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19. Day and Night Classification Challenge.html
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20. Notebook Load and Visualize the Data.html
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21. Labeled Data and Accuracy-FN96OM_JGyM.en.vtt
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21. Labeled Data and Accuracy-FN96OM_JGyM.mp4
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21. Labeled Data and Accuracy-FN96OM_JGyM.zh-CN.vtt
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21. Labeled Data and Accuracy.html
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22. Distinguishing Traits.html
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23. Features.html
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23. Nd113 C7 29 L Features-HshygbfQylA.en.vtt
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23. Nd113 C7 29 L Features-HshygbfQylA.mp4
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23. Nd113 C7 29 L Features-HshygbfQylA.zh-CN.vtt
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24. Standardizing Output.html
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25. Notebook Standardizing Day and Night Images.html
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26. Average Brightness.html
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26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.en.vtt
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26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.mp4
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26. Nd113 C7 32 L Average Brightness V2-oUlOS670uQg.zh-CN.vtt
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27. Notebook Average Brightness Feature Extraction.html
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28. Classification.html
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28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.en.vtt
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28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.mp4
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6.54 MB
28. Nd113 C7 45 L Classification V1-LWD1M2vqXXo.zh-CN.vtt
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1.74 KB
29. Notebook Classification.html
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8.6 KB
30. Evaluation Metrics.html
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10.06 KB
30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.en.vtt
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30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.mp4
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30. Nd113 C7 46 L Evaluation Metrics-fDN4D1QV674.zh-CN.vtt
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31. Notebook Accuracy and Misclassification.html
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8.63 KB
32. Review and the Computer Vision Pipeline.html
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9.62 KB
img
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screen-shot-2017-12-18-at-5.41.01-pm.png
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screen-shot-2017-12-18-at-8.09.57-pm.png
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screen-shot-2018-03-23-at-3.57.38-pm.png
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screen-shot-2018-03-23-at-4.02.58-pm.png
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screen-shot-2018-03-23-at-4.04.35-pm.png
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screen-shot-2018-03-23-at-4.05.32-pm.png
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screen-shot-2018-04-05-at-4.45.16-pm.png
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screen-shot-2018-04-06-at-2.39.31-pm.png
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screen-shot-2018-04-23-at-4.05.20-pm.png
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screen-shot-2018-04-23-at-4.10.20-pm.png
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screen-shot-2018-04-23-at-4.14.19-pm.png
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stop-sign-classification.png
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index.html
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Part 01-Module 01-Lesson 03_Convolutional Filters and Edge Detection
01. Filters and Finding Edges.html
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01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.en.vtt
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01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.mp4
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7.91 MB
01. Nd113 C7 36 L Filters And Finding Edges V1-f3H2EtiZLOQ.zh-CN.vtt
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1.21 KB
02. Frequency in Images.html
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11.62 KB
03. Notebook Fourier Transforms.html
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7.92 KB
04. Quiz Fourier Tranform Image.html
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8.91 KB
05. High-pass Filters-OpcFn_H2V-Q.en.vtt
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05. High-pass Filters-OpcFn_H2V-Q.mp4
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05. High-pass Filters-OpcFn_H2V-Q.pt-BR.vtt
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05. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt
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05. High-pass Filters.html
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06. Quiz Kernels.html
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07. Creating a Filter-VEsdTRBH3D8.en.vtt
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07. Creating a Filter-VEsdTRBH3D8.mp4
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07. Creating a Filter-VEsdTRBH3D8.zh-CN.vtt
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07. Creating a Filter.html
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08. Gradients and Sobel Filters.html
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11.25 KB
09. Notebook Finding Edges.html
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7.91 KB
10. Low-pass Filters-jy5Be9vf2rk.en.vtt
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10. Low-pass Filters-jy5Be9vf2rk.mp4
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5.19 MB
10. Low-pass Filters-jy5Be9vf2rk.zh-CN.vtt
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10. Low-pass Filters.html
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11. Gaussian Blur-1tlPonqIOrU.en.vtt
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11. Gaussian Blur-1tlPonqIOrU.mp4
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5.51 MB
11. Gaussian Blur-1tlPonqIOrU.zh-CN.vtt
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3.57 KB
11. Gaussian Blur.html
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7.88 KB
12. Notebook Gaussian Blur.html
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7.91 KB
13. Notebook Fourier Transforms of Filters.html
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7.94 KB
14. Convolutional Layer.html
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9.95 KB
15. Canny Edge Detection-Nm1H2xMMS3I.en.vtt
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15. Canny Edge Detection-Nm1H2xMMS3I.mp4
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15. Canny Edge Detection-Nm1H2xMMS3I.zh-CN.vtt
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5.05 KB
15. Canny Edge Detector.html
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7.78 KB
16. Notebook Canny Edge Detection.html
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17. Shape Detection.html
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18. Hough Transform-RIOzsF1_xuo.en.vtt
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18. Hough Transform-RIOzsF1_xuo.mp4
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3.25 MB
18. Hough Transform-RIOzsF1_xuo.zh-CN.vtt
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3.5 KB
18. Hough Transform.html
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7.63 KB
19. Quiz Hough Space.html
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8.64 KB
20. Hough Line Detection-PVIUkQKbrUw.en.vtt
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20. Hough Line Detection-PVIUkQKbrUw.mp4
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4.5 MB
20. Hough Line Detection-PVIUkQKbrUw.zh-CN.vtt
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20. Hough Line Detection.html
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21. Notebook Hough Detections.html
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22. Object Recognition Introducing Haar Cascades.html
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23. Haar Cascades-vALIpxVfKRc.en.vtt
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23. Haar Cascades-vALIpxVfKRc.mp4
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23. Haar Cascades-vALIpxVfKRc.zh-CN.vtt
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23. Haar Cascades.html
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24. Notebook Haar Cascade Face Detection.html
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25. Face Recognition and the Dangers of Bias.html
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26. Beyond Edges, Selecting Different Features.html
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img
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haar-2-gif.gif
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screen-shot-2018-04-24-at-1.12.46-am.png
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screen-shot-2018-05-31-at-2.59.36-pm.png
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screen-shot-2018-06-21-at-1.39.47-pm.png
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index.html
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Part 01-Module 01-Lesson 04_Types of Features & Image Segmentation
01. Types Of Features-cJHro29nzgg.en.vtt
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01. Types Of Features-cJHro29nzgg.mp4
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01. Types Of Features-cJHro29nzgg.zh-CN.vtt
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01. Types of Features.html
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02. Corner Detectors-jemzDq07MEI.en.vtt
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02. Corner Detectors-jemzDq07MEI.mp4
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02. Corner Detectors-jemzDq07MEI.zh-CN.vtt
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02. Corner Detectors.html
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03. Notebook Find the Corners.html
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04. Dilation and Erosion.html
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05. Image Segmentation.html
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06. Image Contours-Wcbrl7Wr_kU.en.vtt
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06. Image Contours-Wcbrl7Wr_kU.mp4
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06. Image Contours-Wcbrl7Wr_kU.zh-CN.vtt
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06. Image Contours.html
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07. Notebook Find Contours and Features.html
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08. Solution Find Contours and Features.html
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09. K-means Clustering-Cf_LSDCEBzk.en.vtt
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09. K-means Clustering-Cf_LSDCEBzk.mp4
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09. K-means Clustering-Cf_LSDCEBzk.zh-CN.vtt
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09. K-means Clustering.html
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10. K-means Implementation-poKlg-aB4rU.en.vtt
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10. K-means Implementation-poKlg-aB4rU.mp4
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10. K-means Implementation-poKlg-aB4rU.zh-CN.vtt
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10. K-means Implementation.html
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11. Notebook K-means Clustering.html
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img
screen-shot-2017-06-30-at-3.22.40-pm.png
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index.html
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Part 01-Module 01-Lesson 05_Feature Vectors
01. Corners and Object Detection.html
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02. Feature Vectors--PF1_MITrOw.en.vtt
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02. Feature Vectors--PF1_MITrOw.mp4
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02. Feature Vectors--PF1_MITrOw.zh-CN.vtt
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02. Feature Vectors.html
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03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.en.vtt
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03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.mp4
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03. 01 Realtime Feature Detection V2-zPxylrXf-Gs.zh-CN.vtt
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03. Real-Time Feature Detection.html
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04. 02 Introduction To ORB V3-WN37zcMhMas.en.vtt
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04. 02 Introduction To ORB V3-WN37zcMhMas.mp4
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04. 02 Introduction To ORB V3-WN37zcMhMas.zh-CN.vtt
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04. Introduction to ORB.html
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05. 03 Fast V3-DCHAc6fjcVM.en.vtt
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05. 03 Fast V3-DCHAc6fjcVM.mp4
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05. 03 Fast V3-DCHAc6fjcVM.zh-CN.vtt
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05. FAST.html
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06. Quiz FAST Keypoints.html
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07. 04 Brief V4-EKIPEPpRciw.en.vtt
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07. 04 Brief V4-EKIPEPpRciw.mp4
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07. 04 Brief V4-EKIPEPpRciw.zh-CN.vtt
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07. BRIEF.html
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08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.en.vtt
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08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.mp4
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08. 05 Scale And RotationInvariance V2-2k3T6rfjvx0.zh-CN.vtt
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08. Scale and Rotation Invariance.html
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09. Notebook Image Pyramids.html
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10. 07 Feature Matching V2-RH05Wnl1-2A.en.vtt
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10. 07 Feature Matching V2-RH05Wnl1-2A.mp4
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10. 07 Feature Matching V2-RH05Wnl1-2A.zh-CN.vtt
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10. Feature Matching.html
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11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.en.vtt
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11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.mp4
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11. 08 ORB In Video V2 (1)-Vzs6B1dFQC0.zh-CN.vtt
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11. ORB in Video.html
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12. Notebook Implementing ORB.html
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13. HOG.html
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13. Histogram of Oriented Gradients-dqe9zGtxoNM.en.vtt
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13. Histogram of Oriented Gradients-dqe9zGtxoNM.mp4
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13. Histogram of Oriented Gradients-dqe9zGtxoNM.zh-CN.vtt
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14. Notebook Implementing HOG.html
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15. Learning to Find Features.html
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Part 01-Module 01-Lesson 06_CNN Layers and Feature Visualization
01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.en.vtt
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01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.mp4
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01. 02 Intro To CNN Layers V1 RENDER V3-hT6zBYCuAfw.zh-CN.vtt
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01. Introduction to CNN Layers.html
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02. Review Training a Neural Network.html
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03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.en.vtt
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03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.mp4
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03. 03 Data And Lesson Outline RENDER V2-jPr-5aZA6NE.zh-CN.vtt
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03. Lesson Outline and Data.html
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04. CNN Architecture, VGG-16.html
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05. Convolutional Layers (Part 2)-LX-yVob3c28.en.vtt
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05. Convolutional Layers (Part 2)-LX-yVob3c28.mp4
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05. Convolutional Layers (Part 2)-LX-yVob3c28.zh-CN.vtt
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05. Convolutional Layers.html
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06. Defining Layers in PyTorch.html
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07. Notebook Visualizing a Convolutional Layer.html
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08. Pooling, VGG-16 Architecture.html
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09. Pooling Layers-OkkIZNs7Cyc.en.vtt
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09. Pooling Layers-OkkIZNs7Cyc.mp4
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09. Pooling Layers.html
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10. Notebook Visualizing a Pooling Layer.html
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11. Fully-Connected Layers, VGG-16.html
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12. Notebook Visualizing FashionMNIST.html
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13. Training in PyTorch.html
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14. Notebook Fashion MNIST Training Exercise.html
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15. Notebook FashionMNIST, Solution 1.html
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16. Dropout-Ty6K6YiGdBs.en.vtt
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16. Dropout-Ty6K6YiGdBs.mp4
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16. Review Dropout.html
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16. 动量-r-rYz_PEWC8.en.vtt
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17. Notebook FashionMNIST, Solution 2.html
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18. Network Structure.html
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19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.en.vtt
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19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.mp4
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19. 04 Feature Visualization V1 RENDER V2-xwGa7RFg1EQ.zh-CN.vtt
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20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.en.vtt
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20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.mp4
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20. 05 Feature Maps V1RENDER V3-oRhsJHHWtu8.zh-CN.vtt
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20. Feature Maps.html
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21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.en.vtt
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21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.mp4
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21. 06 First Convolutional Layer T1 V1 RENDER V2-hIHDMWVSfsM.zh-CN.vtt
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21. First Convolutional Layer.html
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22. Visualizing CNNs (Part 2).html
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23. 10 Visualizing Activations V1 RENDER V2-CJLNTOXqt3I.en.vtt
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23. Visualizing Activations.html
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24. Notebook Feature Viz for FashionMNIST.html
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25. Notebook Visualize Your Net Layers.html
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26. Last Feature Vector and t-SNE.html
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27. Occlusion, Saliency, and Guided Backpropagation.html
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28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.en.vtt
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28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.mp4
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28. 20 Summary Of Feature Viz V2 RENDER V2-r2LBoEkXskU.zh-CN.vtt
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28. Summary of Feature Viz.html
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29. Image Classification Regression Challenges.html
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Part 01-Module 01-Lesson 07_Project Facial Keypoint Detection
01. Project Overview.html
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02. Workspaces Best Practices.html
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03. Project Facial Keypoint Detection.html
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Project Description - Facial Keypoint Detection.html
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Project Rubric - Facial Keypoint Detection.html
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Part 02-Module 01-Lesson 01_Advanced CNN Architectures
01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.en.vtt
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01. 01 CNNs And Scene Understanding RENDER Full V2-_iRqSOsTBQU.zh-CN.vtt
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01. CNN's and Scene Understanding.html
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02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.en.vtt
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02. 02 More Than Classification RENDER V2-vBE5KvvAYzg.mp4
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03. 03 Classification And Localization RENDER V3-UqNg9d6cKQU.en.vtt
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04. 04 Bounding Boxes And Regression V1 RENDER V3-2YM82c7SaCo.en.vtt
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04. Bounding Boxes and Regression.html
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05. Quiz Loss Values.html
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06. 05 Region Proposals V1 RENDER V2-HLwpr7h3rPY.en.vtt
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07. 06 RCNN V1 RENDER V2-EchapZJMTYU.en.vtt
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07. 06 RCNN V1 RENDER V2-EchapZJMTYU.mp4
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07. 06 RCNN V1 RENDER V2-EchapZJMTYU.zh-CN.vtt
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07. R-CNN.html
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08. 07 Fast RCNN V1 RENDER V2-6FOBZ9OgWlY.en.vtt
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08. Fast R-CNN.html
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09. 08 Faster RCNN V1 RENDER V2-ySh_Q3KTTBY.en.vtt
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09. Faster R-CNN.html
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10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.en.vtt
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10. 09 Detection Without Proposals Summary V1-IMnt1HFu_nc.mp4
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10. Detection With and Without Proposals.html
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Part 02-Module 01-Lesson 02_YOLO
01. 01 Introduction V3-uyefSrHZesY.en.vtt
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01. Introduction to YOLO.html
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02. 02 YOLO Output V2-MyOuuwk0qC4.en.vtt
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02. YOLO Output.html
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03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.en.vtt
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03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.mp4
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03. 03 A Convolutional Approach To Sliding Windows V3-8qYqqibIz90.zh-CN.vtt
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03. Sliding Windows, Revisited.html
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04. CNN Sliding Windows .html
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05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.en.vtt
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05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.mp4
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05. 04 Using A Grid To Improve Localization V2-OmgR35Go79Y.zh-CN.vtt
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05. Using a Grid.html
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06. 05 Training On A Grid V2-uhefpakvXh8.en.vtt
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06. Training on a Grid.html
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07. 06 Generating Bounding Boxes V3-TGfPX-XcyOs.en.vtt
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07. Generating Bounding Boxes.html
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08. Quiz Generating Boxes and Detecting Objects.html
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09. 07 Too Many Boxes V2-nYDWsFdFnQ8.en.vtt
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09. Too Many Boxes.html
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10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.en.vtt
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10. 08 Intersection Over Union IOU V1-ieKEHlEjIsY.mp4
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10. Intersection over Union (IoU).html
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11. Quiz IoU and Overlap Limits.html
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12. 09 NonMaximal Suppression V1-TE6M29Jo9hk.en.vtt
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12. Non-Maximal Suppression.html
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13. 10 Anchor Boxes V3-IzILYgVb76g.en.vtt
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13. 10 Anchor Boxes V3-IzILYgVb76g.mp4
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13. Anchor Boxes.html
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14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.en.vtt
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14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.mp4
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14. 11 YOLO Algorithm V3-ZbQzCHQ8YEo.zh-CN.vtt
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14. YOLO Algorithm.html
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15. Notebook YOLO Implementation.html
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Part 02-Module 01-Lesson 03_RNN's
01. RNN's in Computer Vision.html
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02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt
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02. RNN Introduction.html
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03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt
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03. RNN History.html
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04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt
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04. RNN Applications.html
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05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt
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05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt
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05. Feedforward Neural Network-Reminder.html
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06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt
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06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt
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06. The Feedforward Process.html
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07. Feedforward Quiz.html
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08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt
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08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt
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08. Backpropagation- Theory.html
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09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt
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09. Backpropagation - Example (part a).html
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10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt
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11. Backpropagation Quiz.html
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12. RNN (part a).html
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12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt
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13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt
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13. RNN (part b).html
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14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt
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14. RNN- Unfolded Model.html
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15. Unfolded Model Quiz.html
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16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt
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16. RNN- Example.html
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17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt
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17. Backpropagation Through Time (part a).html
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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt
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18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4
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18. Backpropagation Through Time (part b).html
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19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt
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19. Backpropagation Through Time (part c).html
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20. BPTT Quiz 1.html
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22. BPTT Quiz 3.html
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23. Some more math.html
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24. RNN Summary-nXP0oGGRrO8.en.vtt
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24. RNN Summary.html
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25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt
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25. From RNN to LSTM.html
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26. Wrap Up.html
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index.html
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Part 02-Module 01-Lesson 04_ Long Short-Term Memory Networks (LSTMs)
01. Intro to LSTM.html
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02. RNN Vs LSTM-70MgF-IwAr8.en.vtt
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02. RNN vs LSTM.html
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03. Basics of LSTM.html
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04. Architecture of LSTM.html
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04. LSTM Architecture-ycwthhdx8ws.en.vtt
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05. Notebook LSTM Structure and Hidden State, PyTorch.html
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06. Learn Gate-aVHVI7ovbHY.en.vtt
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06. The Learn Gate.html
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07. The Forget Gate.html
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08. Remember Gate-0qlm86HaXuU.en.vtt
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08. The Remember Gate.html
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09. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt
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09. The Use Gate.html
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10. Putting It All Together-IF8FlKW-Zo0.en.vtt
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10. Putting it All Together.html
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11. Quiz.html
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12. Notebook LSTM for Part of Speech Tagging.html
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13. Character-Level RNN.html
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13. Character-Wise RNN-m_S2hs6-j5w.en.vtt
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14. Sequence Batching-pdSr5F-9qE0.en.vtt
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14. Sequence Batching-pdSr5F-9qE0.mp4
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14. Sequence Batching.html
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15. Notebook Character-Level LSTM.html
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16. Other Architectures-MsxFDuYlTuQ.en.vtt
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16. Other architectures.html
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img
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index.html
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Part 02-Module 01-Lesson 05_Hyperparameters
01. Introducing Jay.html
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02. Introduction-erwnzFD7AeE.en.vtt
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02. Introduction-erwnzFD7AeE.mp4
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02. Introduction.html
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03. Learning Rate-HLMjeDez7ps.en.vtt
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04. Learning Rate.html
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06. Number of Training Iterations Epochs.html
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07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt
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07. Number of Hidden Units Layers.html
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08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt
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08. RNN Hyperparameters.html
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09. RNN Hyperparameters.html
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10. Sources References.html
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img
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index.html
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Part 02-Module 01-Lesson 06_Optional Attention Mechanisms
01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt
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01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4
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01. Introduction to Attention.html
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02. Applications seq2seq-tDJBDwriJYQ.en.vtt
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02. Applications seq2seq-tDJBDwriJYQ.mp4
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02. Architecture encoder decoder-dkHdEAJnV_w.en.vtt
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02. Architecture encoder decoder-dkHdEAJnV_w.mp4
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02. Encoders and Decoders.html
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03. Elective Text Sentiment Analysis.html
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04. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.en.vtt
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04. Sequence to Sequence Recap.html
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05. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt
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05. Encoding -- Attention Overview.html
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06. 04 Attention Overview Decoding V2-DJxiPd585GY.en.vtt
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06. Decoding -- Attention Overview.html
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07. Attention Overview.html
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08. 05 Attention Encoder V2-sphe9LDT4rA.en.vtt
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08. Attention Encoder.html
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09. 06 Attention Decoder V1-5mMz6nN9_Ss.en.vtt
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09. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4
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09. Attention Decoder.html
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10. Attention Encoder Decoder.html
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11. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt
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11. Bahdanau and Luong Attention.html
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12. 08 Multiplicative Attention V2-1-OwCgrx1eQ.en.vtt
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12. Multiplicative Attention.html
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13. 09 Additive Attention V2-93VfVWZ-IvY.en.vtt
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13. Additive Attention.html
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14. Additive and Multiplicative Attention.html
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15. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt
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15. Computer Vision Applications.html
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16. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt
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16. Other Attention Methods.html
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17. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt
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17. The Transformer and Self-Attention.html
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18. Notebook Attention Basics.html
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19. [SOLUTION] Attention Basics.html
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20. Outro.html
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img
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index.html
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Part 02-Module 01-Lesson 07_Image Captioning
01. 01 L Introduction V3-dobNslC2y-o.en.vtt
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01. Introduction to Image Captioning.html
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02. 02 Leveraging Neural Networks V3-thClOUTiNxY.en.vtt
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02. Leveraging Neural Networks.html
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03. 03 Captions And The COCO Dataset V3-DMmJs1w1n7A.en.vtt
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04. Visualize the Dataset.html
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05. 04 CNNRNN Model V3-n7kdMiX1Xz8.en.vtt
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05. CNN-RNN Model.html
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06. 05 The Glue V5-u2ZdcUDnHm0.en.vtt
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06. The Glue, Feature Vector.html
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07. 06 Tokenizing Captions V3-aeEFb0eSzJ8.en.vtt
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08. Tokenizing Words.html
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09. 07 RNN Training V4-P-tHxD7kRmA.en.vtt
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09. RNN Training.html
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10. 08 Video Captioning V1-I_m9JyKTfbQ.en.vtt
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10. 08 Video Captioning V1-I_m9JyKTfbQ.mp4
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10. Video Captioning.html
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11. 09 On To The Project V2-MsxNRaYTNSk.en.vtt
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11. On to the Project!.html
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img
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index.html
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Part 02-Module 01-Lesson 08_Project Image Captioning
01. Project Overview.html
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02. LSTM InputsOutputs.html
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03. Introduction to GPU Workspaces.html
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04. [submit from here] Project Image Captioning, PyTorch 0.4.html
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Project Description - Image Captioning.html
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Project Rubric - Image Captioning.html
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img
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jupyter-logo.png
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workspaces-gpu.png
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workspaces-jupyter.png
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workspaces-menu.png
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workspaces-new.png
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workspaces-notebook.png
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workspaces-terminal.png
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index.html
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Part 02-Module 01-Lesson 09_Optional Cloud Computing with AWS
01. Overview.html
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02. Create an AWS Account.html
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03. Get Access to GPU Instances.html
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04. Apply Credits.html
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05. Launch an Instance.html
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06. Login to an Instance.html
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img
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aws-create-account.png
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launch-instance.png
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launch.png
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p2xlarge-limit-request.png
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review-and-launch.png
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stop.png
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index.html
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Part 03-Module 01-Lesson 01_Introduction to Motion
01. Object Tracking V4 (1)-ciEo6PyMTeM.en.vtt
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01. Object Tracking.html
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02. Localization Intro.html
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02. Localization V1 (1)-QkVyEMTUkAw.en.vtt
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03. Motion -A-QJf04LBb0.en.vtt
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03. Motion -A-QJf04LBb0.mp4
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03. Motion.html
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04. Optical Flow-TOS8UJwCtTg.en.vtt
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04. Optical Flow.html
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05. 01 Motion Vector V2-I3f3IEUI2tg.en.vtt
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05. Motion Vector.html
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06. 02 Brightness Constancy Assumption V3-GHz9Yzt5tro.en.vtt
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06. Brightness Constancy Assumption.html
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07. Notebook Optical Flow and Motion Vectors.html
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08. 04 Tracking Features V2-uFf6IZ5MxgU.en.vtt
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08. 04 Tracking Features V2-uFf6IZ5MxgU.mp4
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img
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index.html
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Part 03-Module 01-Lesson 02_Robot Localization
01. Probability Review.html
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02. Reduzindo a incerteza-zuFMhmKQ--o.ar.vtt
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02. Uncertainty and Bayes' Rule.html
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03. Reducing Uncertainty.html
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03. Usando dados do sensor-vhl-SADfti8.ar.vtt
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04. Probability Distributions.html
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04. 概率分布入门 1-gqPjMDVFvNg.en.vtt
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04. 概率分布入门 2-PglBg4eb_5M.en.vtt
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05. 03 Localization V1-OB6GZxfvESw.en.vtt
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05. Localization.html
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06. 05 Total Probability V4-RCEieE2t8U4.en.vtt
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06. Total Probability.html
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07. Notebook 1D Robot World.html
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08. 09 Probability After Sense V1-aWQMJQQmNGw.en.vtt
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08. Probability After Sense.html
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09. Notebook Probability After Sense.html
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10. 11 Normalize Distribution V1-ZGvmFn_u56o.en.vtt
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11. Sense Function - Artificial Intelligence for Robotics-eIjyrQpDogg.en.vtt
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11. Sense Function.html
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12. Notebook Sense Function.html
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13. Answer Sense Function.html
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13. Sense Function Solution - Artificial Intelligence for Robotics-Y5iFxWRTw1c.bn.vtt
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14. Normalized Sense Function - Artificial Intelligence for Robotics-GqWszyHTYas.mp4
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14. Normalized Sense Function.html
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15. Notebook Normalized Sense Function.html
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16. Answer Normalized Sense Function.html
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16. Normalized Sense Function Solution - Artificial Intelligence for Robotics-UX3W8TUKbJ0.en.vtt
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17. 16 Test Sense Function V1-gytbuOI9-3g.en.vtt
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17. Test Sense Function Solution - Artificial Intelligence for Robotics-F8AHaaJVmkw.mp4
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18. Multiple Measurements - Artificial Intelligence for Robotics-gDO4sF8gR9k.en.vtt
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18. Multiple Measurements.html
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19. Notebook Multiple Measurements.html
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20. Answer Multiple Measurements.html
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20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.en.vtt
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20. Multiple Measurements Solution - Artificial Intelligence for Robotics--3qTapGGa-8.mp4
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21. 18 Exact Motion V1-mNXm1wjTumY.en.vtt
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21. Exact Motion .html
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22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.en.vtt
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22. Move Function - Artificial Intelligence for Robotics-wfjE0mVADIk.zh-CN.vtt
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22. Move Function.html
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23. Notebook Move Function.html
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24. Answer Move Function.html
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24. Move Function Solution - Artificial Intelligence for Robotics-TnFq6hufsYs.en.vtt
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25. 20 Inexact Motion 1 V3-hHAwFNsIp1c.en.vtt
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26. Inexact Move Function - Artificial Intelligence for Robotics-68Kao9dkIKA.en.vtt
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26. Inexact Move Function.html
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27. Notebook Inexact Move Function.html
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28. Answer Inexact Move Function.html
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28. Inexact Move Function Solution - Artificial Intelligence for Robotics-QCnPJcNprEU.en.vtt
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29. 24 Limit Distribution Quiz V3-NJvalJwjz18.en.vtt
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30. Move Twice - Artificial Intelligence for Robotics-sKiumVTdpgY.en.vtt
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30. Move Twice Solution - Artificial Intelligence for Robotics-oqlgQa1IdcY.en.vtt
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30. Move Twice.html
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31. Move 1000 - Artificial Intelligence for Robotics-x2o1g3J-1nw.en.vtt
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31. Move 1000.html
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32. Notebook Multiple Moves.html
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33. 27 Sense And Move V2-v2dYzm6-YVs.en.vtt
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33. Sense and Move.html
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34. Notebook Sense and Move Cycle.html
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35. Answer Sense and Move.html
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35. Sense and Move Solution - Artificial Intelligence for Robotics-1s2dRczcu1A.en.vtt
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36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.en.vtt
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36. Sense And Move 2 Solution Director'SCut-7gl2GF-laOQ.zh-CN.vtt
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36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.en.vtt
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36. Sense and Move 2 - Artificial Intelligence for Robotics--wT7h9Gdm_8.mp4
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36. Sense and Move 2.html
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37. Localization Summary.html
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38. C++ Elective Implementation.html
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38. Lesson Overview C++-lR3PH3bL-9U.en.vtt
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img
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cplus.png
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prob-dists.png
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index.html
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Part 03-Module 01-Lesson 03_Mini-project 2D Histogram Filter
01. Project Overview-uaWZNKGTtgM.en.vtt
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01. Project Overview-uaWZNKGTtgM.mp4
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01. Project Overview-uaWZNKGTtgM.zh-CN.vtt
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01. Project Overview.html
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02. Notebook - Two Dimensional Histogram Filter.html
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03. Testing on Your Own.html
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index.html
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Part 03-Module 01-Lesson 04_Introduction to Kalman Filters
01. Kalman Filters and Linear Algebra.html
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01. 矩阵介绍-Ugx3mldc0lE.en.vtt
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02. Introduction-XZL934YQ-FQ.en.vtt
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02. Introduction.html
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03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.en.vtt
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03. Tracking Intro.html
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04. Answer Tracking Intro.html
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05. Gaussian Intro.html
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05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.en.vtt
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06. Answer Gaussian Intro.html
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07. Quiz Variance and Preferred Gaussian.html
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08. Answer Variance and Preferred Gaussian.html
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09. Gaussian Function and Maximum.html
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09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.en.vtt
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09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt
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09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4
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10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.en.vtt
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10. Quiz Shifting the Mean.html
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11. Answer Shifting the Mean.html
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11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt
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12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.en.vtt
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12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.mp4
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13. Answer Predicting the Peak.html
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13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.en.vtt
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13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.mp4
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13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.zh-CN.vtt
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14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.en.vtt
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14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.mp4
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14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.zh-CN.vtt
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14. Quiz Parameter Update.html
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15. Answer Parameter Update.html
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15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.en.vtt
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15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.mp4
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15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.zh-CN.vtt
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16. Notebook New Mean and Variance.html
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17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.en.vtt
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17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ru.vtt
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17. Solution New Mean and Variance.html
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18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.en.vtt
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18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4
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18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.zh-CN.vtt
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18. Quiz Gaussian Motion.html
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19. Answer Gaussian Motion.html
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20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.en.vtt
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20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja.vtt
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20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4
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1.2 MB
20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.zh-CN.vtt
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711 B
20. Predict Function.html
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7.92 KB
21. Notebook Predict Function.html
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8.01 KB
22. Answer Predict Function.html
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22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.en.vtt
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297 B
22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.es-ES.vtt
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314 B
22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja.vtt
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22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4
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22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.zh-CN.vtt
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280 B
23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.en.vtt
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23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.es-ES.vtt
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23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja.vtt
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23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4
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23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ru.vtt
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3.26 KB
23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.zh-CN.vtt
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23. Kalman Filter Code.html
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8.08 KB
24. Notebook 1D Kalman Filter.html
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8.01 KB
25. Answer 1D Kalman Filter.html
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8 KB
25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.en.vtt
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25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4
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25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.zh-CN.vtt
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26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.en.vtt
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26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4
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26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.zh-CN.vtt
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26. Kalman Prediction.html
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27. Next Motion Models and State.html
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8.04 KB
img
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Part 03-Module 01-Lesson 05_Representing State and Motion
01. Localization Steps-4SiMoSTf4rQ.en.vtt
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01. Localization Steps-4SiMoSTf4rQ.mp4
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4.06 MB
01. Localization Steps-4SiMoSTf4rQ.zh-CN.vtt
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2.69 KB
01. Localization Steps.html
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11.01 KB
02. Intro To State-zfilXYrW4Gk.en.vtt
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02. Intro To State-zfilXYrW4Gk.mp4
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02. Intro To State-zfilXYrW4Gk.zh-CN.vtt
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02. Intro to State.html
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03. Motion Models-qSdbn_PVQnk.en.vtt
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2.5 KB
03. Motion Models-qSdbn_PVQnk.mp4
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2.07 MB
03. Motion Models-qSdbn_PVQnk.zh-CN.vtt
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03. Motion Models.html
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04. Quiz Predicting State.html
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8.4 KB
05. A Different Model-Mh0g-SMpMI4.en.vtt
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05. A Different Model-Mh0g-SMpMI4.mp4
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05. A Different Model-Mh0g-SMpMI4.zh-CN.vtt
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05. A Different Model.html
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06. Kinematics.html
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13.29 KB
07. Quantifying State-9zMbwSqTZAc.en.vtt
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07. Quantifying State-9zMbwSqTZAc.mp4
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5.01 MB
07. Quantifying State-9zMbwSqTZAc.zh-CN.vtt
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07. Quantifying State.html
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11.19 KB
08. Lesson Outline-jh7wLGXrm3E.en.vtt
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08. Lesson Outline-jh7wLGXrm3E.mp4
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08. Lesson Outline-jh7wLGXrm3E.zh-CN.vtt
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08. Lesson Outline.html
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7.93 KB
09. Always Moving-EQBQlHvxAQA.en.vtt
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3.2 KB
09. Always Moving-EQBQlHvxAQA.mp4
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3.65 MB
09. Always Moving-EQBQlHvxAQA.zh-CN.vtt
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09. Always Moving.html
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10. Car Object-SnfhGZ76h7Y.en.vtt
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10. Car Object-SnfhGZ76h7Y.mp4
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5.12 MB
10. Car Object-SnfhGZ76h7Y.zh-CN.vtt
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10. Car Object.html
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9.32 KB
11. Interacting with a Car Object.html
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7.43 KB
12. Look at the Class Code.html
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7.65 KB
13. Turn Right.html
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8.12 KB
14. Adding Color.html
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6.93 KB
14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.en.vtt
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14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.mp4
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6.06 MB
14. Nd113 C2 L3 20 L Adding Color V2-iltQBIpbCSw.zh-CN.vtt
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4.67 KB
15. Instantiate Multiple Cars.html
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16. Color Class.html
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17. Overloading Functions.html
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18. Overloading Color Addition.html
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19. State Vector-st26ov_TVwM.en.vtt
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19. State Vector-st26ov_TVwM.mp4
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19. State Vector-st26ov_TVwM.zh-CN.vtt
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19. State Vector.html
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8.09 KB
20. State Transformation Matrix-DRRuQMYo800.en.vtt
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20. State Transformation Matrix-DRRuQMYo800.mp4
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3.21 MB
20. State Transformation Matrix-DRRuQMYo800.zh-CN.vtt
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20. State Transformation Matrix.html
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21. Matrix Multiplication.html
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22. 1D State Vector and More Multiplication.html
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23. Modify Predict State.html
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7.42 KB
24. Working With Matrices-nruxu8pr6i8.en.vtt
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951 B
24. Working With Matrices-nruxu8pr6i8.mp4
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24. Working With Matrices-nruxu8pr6i8.zh-CN.vtt
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24. Working with Matrices.html
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img
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index.html
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Part 03-Module 01-Lesson 06_Matrices and Transformation of State
01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.en.vtt
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01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.mp4
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01. Kalman Filter Land RENDER 1 V1-6xupqulu0bc.zh-CN.vtt
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2.84 KB
01. Kalman Filter Land.html
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7.87 KB
02. Kalman Filter Prediction.html
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8.58 KB
02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.en.vtt
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02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.mp4
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02. QUIZ Kalman Filter Prediction 01 RENDER V2-DjoBJNLzhj8.zh-CN.vtt
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02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.en.vtt
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02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.mp4
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02. QUIZ Kalman Filter Prediction 02 RENDER V2-OelWLjfdSyw.zh-CN.vtt
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609 B
03. Another Prediction.html
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03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.en.vtt
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03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.mp4
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03. QUIZ Another Prediction 01 RENDER V1-wdSkHh-6U4Y.zh-CN.vtt
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03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.en.vtt
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03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.mp4
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03. QUIZ Another Prediction 02 RENDER V1-RfzQ5MbVNeQ.zh-CN.vtt
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04. More Kalman FIlters.html
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8.14 KB
04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.en.vtt
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04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.mp4
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04. More Kalman Filters RENDER V2-5QYGm4D9z6Y.zh-CN.vtt
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05. A Note on Notation.html
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9.4 KB
06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.en.vtt
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06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.mp4
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3.57 MB
06. KALMAN Kalman Filter Design RENDER V2-7C_tsAr8PNM.zh-CN.vtt
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06. Kalman Filter Design.html
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8.31 KB
07. Let's Look at Where We Are.html
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08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.en.vtt
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08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.mp4
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08. Nd113 C2 L3 08 L The Kalman Filter Equations V2-X9UUpk5URuw.zh-CN.vtt
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08. The Kalman Filter Equations.html
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09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.en.vtt
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09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.mp4
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3.8 MB
09. Nd113 C2 L3 09 L Simplifying The Kalman Filter Equations V3-UpC0D-SEtD0.zh-CN.vtt
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3.72 KB
09. Simplifying the Kalman Filter Equations.html
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9.38 KB
10. The Rest of the Lesson.html
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8.49 KB
11. Representing State with Matrices.html
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20.53 KB
12. Kalman Equation Reference.html
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9.79 KB
13. What is a vector.html
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9.59 KB
14. Vectors in Python.html
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13.15 KB
15. Coding Vectors.html
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8.35 KB
16. Coding Vectors (solution).html
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8.37 KB
17. Guide to Mathematical Notation.html
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8.38 KB
18. Matrices in Python.html
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18.52 KB
19. Coding Matrices.html
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8.35 KB
20. Coding Matrices (Solution).html
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8.37 KB
21. Matrix Addition.html
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13.64 KB
22. Coding Matrix Addition.html
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8.36 KB
23. Matrix Multiplication.html
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15.88 KB
24. Coding Matrix Multiplication.html
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25. Transpose of a Matrix.html
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14.3 KB
26. Coding the Transpose.html
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8.36 KB
27. The Identity Matrix.html
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12.22 KB
28. Coding Identity Matrix.html
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8.36 KB
29. Matrix Inverse.html
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13.65 KB
30. Coding Matrix Inverse.html
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8.36 KB
31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.en.vtt
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31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.mp4
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31. Nd113 Matrices L3 12 V1-BRLmFGScL_k.zh-CN.vtt
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31. What to Take Away from this Lesson.html
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img
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full-matrix.png
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matrix-addition.png
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matrix-multiplication-identity-1.png
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matrix-multiplication-identity-reverse.png
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matrix-multiplication-step1.png
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matrix-multiplication-step2.png
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matrix-multiplication-step4.png
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matrix-multiplication-transpose-1.png
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transpose-1.png
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transpose-2.png
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vector-example.png
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index.html
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Part 03-Module 01-Lesson 07_Simultaneous Localization and Mapping
01. 02 SLAM V1-UVkkDPJshgM.en.vtt
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01. 02 SLAM V1-UVkkDPJshgM.mp4
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01. 02 SLAM V1-UVkkDPJshgM.zh-CN.vtt
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01. Introduction to SLAM.html
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02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.en.vtt
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02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.mp4
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02. 03 Graph SLAM Quiz V2-OGBC9HrVqd4.zh-CN.vtt
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02. Quiz Graph SLAM.html
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03. Answer Graph SLAM.html
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04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.en.vtt
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04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.mp4
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04. 04 Implementing Constraints Quiz V1-2V3ZF08TcX8.zh-CN.vtt
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04. Quiz Implementing Constraints.html
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05. 05 Implementing Constraints Solution V1-uLmGavXEN64.en.vtt
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05. 05 Implementing Constraints Solution V1-uLmGavXEN64.mp4
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05. 05 Implementing Constraints Solution V1-uLmGavXEN64.zh-CN.vtt
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05. Answer Implementing Constraints.html
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06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.en.vtt
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06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.mp4
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06. 06 Adding Landmarks Quiz V1-_JUCLtoh1CE.zh-CN.vtt
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764 B
06. Quiz Adding Landmarks.html
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07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.en.vtt
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647 B
07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.mp4
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07. 07 Adding Landmarks Solution V1-vDfQNdUSclA.zh-CN.vtt
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07. Answer Adding Landmarks.html
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08. Quiz Matrix Modification.html
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08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.en.vtt
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08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.mp4
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1.06 MB
08. 08 Matrix Modification Quiz V1-e3zpWlM9IRg.zh-CN.vtt
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09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.en.vtt
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09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.mp4
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09. 09 Matrix Modification Solution V1-ntK0oz35VPQ.zh-CN.vtt
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970 B
09. Answer Matrix Modification.html
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6.88 KB
10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.en.vtt
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10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.mp4
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10. 10 Untouched Fields QUIZ RENDER V2-V9qbWSqqKwg.zh-CN.vtt
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660 B
10. Quiz Untouched Fields.html
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11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.en.vtt
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11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.mp4
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11. 11 Untouched Fields Solution RENDER V2-cKFEdCwBGqo.zh-CN.vtt
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11. Answer Untouched Fields.html
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12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.en.vtt
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12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.mp4
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12. 12 Omega And Xi QUIZ RENDER V1-KqCBoAaa5jQ.zh-CN.vtt
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12. Quiz Omega and Xi.html
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13. Notebook Omega and Xi .html
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14. Quiz Landmark Position.html
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15. Answer Landmark Position.html
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16. Notebook Including Sensor Measurements.html
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17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.en.vtt
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17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.mp4
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17. 15 Introducing Noise QUIZ RENDER V1-E_OI5DinFA0.zh-CN.vtt
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17. Quiz Introducing Noise.html
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18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.en.vtt
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18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.mp4
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18. 16 Introducing Noise Solution RENDER V1-X5kh82oke5w.zh-CN.vtt
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18. Answer Introducing Noise.html
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19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.en.vtt
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19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.mp4
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19. 17 Confident Measurements QUIZ RENDER V2-WRANOBm89I4.zh-CN.vtt
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19. Confident Measurements.html
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6.89 KB
20. Notebook Confident Measurements.html
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7.35 KB
21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.en.vtt
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21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.mp4
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13.61 MB
21. 18 Implementing SLAM QUIZ RENDER V1-Ptx33qEaUQQ.zh-CN.vtt
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4.03 KB
21. SLAM Summary.html
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7.35 KB
img
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index.html
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5.25 KB
Part 03-Module 01-Lesson 08_Optional Vehicle Motion and Calculus
01. Introduction to Odometry.html
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8.73 KB
01. 惯性导航-vWgG0d2HOVE.en.vtt
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01. 惯性导航-vWgG0d2HOVE.mp4
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12.92 MB
01. 惯性导航-vWgG0d2HOVE.zh-CN.vtt
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02. Inertial Navigation Sensors.html
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03. Plotting Position vs. Time.html
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04. Interpreting Position vs. Time Graphs.html
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04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.en.vtt
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04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.mp4
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04. Nd113 C6 L1 09 L Interpreting Position Vs Time Graphs V3-NAEasXHN_PU.zh-CN.vtt
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05. A Typical Calculus Problem.html
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05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.en.vtt
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05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.mp4
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05. Nd113 C6 L1 14 L A Typical Calculus Problem Part2 V2-0ww_q51P8uY.zh-CN.vtt
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06. How Odometers Work.html
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07. Speed from Position Data.html
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08. Position, Velocity, and Acceleration.html
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09. Implement an Accelerometer.html
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10. Differentiation Recap.html
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11. Acceleration Basics.html
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11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.en.vtt
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11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.mp4
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11. Nd113 C6 L2 03 L Acceleration Basics V2-ea6b4PZ7YXU.zh-CN.vtt
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12. Plotting Elevator Acceleration.html
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13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.en.vtt
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13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.mp4
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13. 06 L Reasoning About Two Peaks H1 V1-bgPS1GO1EJs.zh-CN.vtt
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13. Reasoning About Two Peaks.html
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14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.en.vtt
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14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.mp4
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14. 07 L The Integral Area Under A Curve H1 V2-QNvgwoIrsIE.zh-CN.vtt
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14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.en.vtt
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14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.mp4
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14. Nd113 C6 07 L The Integral Area Under A Curve H1 V2-Nhpvh2dolcE.zh-CN.vtt
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14. The Integral Area Under a Curve.html
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15. Approximating The Integral-9C05AHzI_I8.en.vtt
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15. Approximating The Integral-9C05AHzI_I8.mp4
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15. Approximating The Integral-9C05AHzI_I8.zh-CN.vtt
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15. Approximating the Integral.html
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16. Approximating Integrals with Code.html
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17. Integrating Accelerometer Data.html
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18. Rate Gyros-TmnecSf80b0.en.vtt
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18. Rate Gyros-TmnecSf80b0.mp4
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18. Rate Gyros-TmnecSf80b0.zh-CN.vtt
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18. Rate Gyros.html
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19. Integrating Rate Gyro Data.html
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20. Working with Real Data-WvEcWtAz-OQ.en.vtt
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20. Working with Real Data-WvEcWtAz-OQ.mp4
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20. Working with Real Data-WvEcWtAz-OQ.zh-CN.vtt
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20. Working with Real Data.html
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21. Accumulating Errors.html
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22. Sensor Strengths and Weaknesses.html
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23. Summary and Back to Trigonometry.html
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24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.en.vtt
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24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.mp4
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2.09 MB
24. Trigonometry And Vehicle Motion-WY3T-9GHI_0.zh-CN.vtt
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772 B
24. Trigonometry and Vehicle Motion.html
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8 KB
25. Solving Trig Problems Part1-qI4i845d7Qg.en.vtt
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25. Solving Trig Problems Part1-qI4i845d7Qg.mp4
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5.97 MB
25. Solving Trig Problems Part1-qI4i845d7Qg.zh-CN.vtt
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25. Solving Trig Problems.html
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26. Keeping Track of x and y.html
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27. Keeping Track of x and y (solution).html
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28. Conclusion-gMbDqd4ItiU.en.vtt
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28. Conclusion-gMbDqd4ItiU.mp4
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28. Conclusion-gMbDqd4ItiU.zh-CN.vtt
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28. Conclusion.html
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29. Project Overview.html
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30. Lab - Reconstructing Trajectories.html
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img
animatedgears.gif
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example-trajectory.png
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odometer.jpg
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screen-shot-2017-12-04-at-3.55.18-pm.png
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screen-shot-2017-12-12-at-3.44.23-pm.png
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screen-shot-2017-12-15-at-2.29.58-pm.png
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screen-shot-2017-12-15-at-2.58.22-pm.png
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screen-shot-2017-12-15-at-9.48.11-am.png
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screen-shot-2017-12-15-at-9.49.09-am.png
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screen-shot-2017-12-15-at-9.51.10-am.png
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self-driving-uber-prototype-in-san-francisco.jpg
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index.html
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Part 03-Module 01-Lesson 09_Project Landmark Detection & Tracking (SLAM)
01. Project Overview.html
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02. Project Landmark Detection Tracking (SLAM).html
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Project Description - Landmark Detection Tracking (SLAM).html
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Project Rubric - Landmark Detection Tracking (SLAM).html
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img
robot-world.png
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index.html
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Part 04-Module 01-Lesson 01_Applying Deep Learning Models
01. Style Transfer.html
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02. DeepTraffic.html
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02. Navegacao de trafico 3-az5ElmV4DhY.en-US.vtt
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02. Navegacao de trafico 3-az5ElmV4DhY.en.vtt
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02. Navegacao de trafico 3-az5ElmV4DhY.mp4
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02. Navegacao de trafico 3-az5ElmV4DhY.pt-BR.vtt
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02. Navegacao de trafico 3-az5ElmV4DhY.zh-CN.vtt
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03. Flappy Bird.html
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04. Books to Read.html
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img
flappy-bird.jpg
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grokking-deep-learning.jpg
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screen-shot-2018-04-24-at-12.27.00-am.png
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index.html
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Part 05-Module 01-Lesson 01_Feedforward and Backpropagation
01. Instructor.html
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5.22 KB
02. Why Neural Networks-zAkzOZntK6Y.en.vtt
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02. Why Neural Networks-zAkzOZntK6Y.mp4
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02. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt
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02. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt
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02. Why Neural Networks.html
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03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt
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03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4
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03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt
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03. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt
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03. Combinando modelos-Boy3zHVrWB4.en.vtt
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03. Combinando modelos-Boy3zHVrWB4.mp4
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03. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt
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03. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt
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03. Layers-pg99FkXYK0M.en.vtt
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03. Layers-pg99FkXYK0M.mp4
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03. Layers-pg99FkXYK0M.pt-BR.vtt
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03. Layers-pg99FkXYK0M.zh-CN.vtt
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03. Multiclass Classification-uNTtvxwfox0.en.vtt
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03. Multiclass Classification-uNTtvxwfox0.mp4
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1.88 MB
03. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt
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03. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt
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03. Neural Network Architecture.html
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04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt
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04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4
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04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt
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04. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt
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04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt
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04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4
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04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt
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04. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt
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04. Feedforward.html
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05. Backpropagation V2-1SmY3TZTyUk.en.vtt
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05. Backpropagation V2-1SmY3TZTyUk.mp4
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05. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt
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05. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt
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05. Backpropagation.html
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05. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt
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05. Calculating The Gradient 1 -tVuZDbUrzzI.mp4
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05. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt
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05. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt
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05. Chain Rule-YAhIBOnbt54.en.vtt
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05. Chain Rule-YAhIBOnbt54.mp4
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05. Chain Rule-YAhIBOnbt54.pt-BR.vtt
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05. Chain Rule-YAhIBOnbt54.zh-CN.vtt
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05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt
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05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4
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05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt
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05. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt
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img
screen-shot-2018-03-19-at-3.49.28-pm.png
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sigmoid-derivative.gif
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index.html
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Part 05-Module 01-Lesson 02_Training Neural Networks
01. Instructor.html
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6.18 KB
02. Training Optimization-UiGKhx9pUYc.en.vtt
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02. Training Optimization-UiGKhx9pUYc.mp4
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2.96 MB
02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt
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874 B
02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt
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02. Training Optimization.html
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03. Testing-EeBZpb-PSac.en.vtt
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03. Testing-EeBZpb-PSac.mp4
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2 MB
03. Testing-EeBZpb-PSac.pt-BR.vtt
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03. Testing-EeBZpb-PSac.zh-CN.vtt
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03. Testing.html
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04. Overfitting and Underfitting.html
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04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt
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04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4
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04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt
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04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt
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05. Early Stopping.html
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05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt
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05. Model Complexity Graph-NnS0FJyVcDQ.mp4
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05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt
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05. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt
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06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt
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06. DL 53 Q Regularization-KxROxcRsHL8.mp4
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06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt
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06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt
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06. Regularization.html
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07. Regularization 2.html
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07. Regularization-ndYnUrx8xvs.en.vtt
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07. Regularization-ndYnUrx8xvs.mp4
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07. Regularization-ndYnUrx8xvs.pt-BR.vtt
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07. Regularization-ndYnUrx8xvs.zh-CN.vtt
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08. Dropout-Ty6K6YiGdBs.en.vtt
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08. Dropout-Ty6K6YiGdBs.mp4
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08. Dropout-Ty6K6YiGdBs.pt-BR.vtt
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08. Dropout-Ty6K6YiGdBs.zh-CN.vtt
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08. Dropout.html
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09. Local Minima-gF_sW_nY-xw.en.vtt
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09. Local Minima-gF_sW_nY-xw.mp4
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09. Local Minima-gF_sW_nY-xw.pt-BR.vtt
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09. Local Minima-gF_sW_nY-xw.zh-CN.vtt
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09. Local Minima.html
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10. Random Restart-idyBBCzXiqg.en.vtt
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466 B
10. Random Restart-idyBBCzXiqg.mp4
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10. Random Restart-idyBBCzXiqg.pt-BR.vtt
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10. Random Restart-idyBBCzXiqg.zh-CN.vtt
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10. Random Restart.html
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11. Vanishing Gradient-W_JJm_5syFw.en.vtt
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11. Vanishing Gradient-W_JJm_5syFw.mp4
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11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt
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11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt
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11. Vanishing Gradient.html
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12. Other Activation Functions-kA-1vUt6cvQ.en.vtt
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12. Other Activation Functions-kA-1vUt6cvQ.mp4
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12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt
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12. Other Activation Functions.html
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13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt
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13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4
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3.95 MB
13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt
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13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt
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13. Batch vs Stochastic Gradient Descent.html
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14. Learning Rate Decay.html
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14. Learning Rate-TwJ8aSZoh2U.en.vtt
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14. Learning Rate-TwJ8aSZoh2U.mp4
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14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt
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14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt
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15. Momentum-r-rYz_PEWC8.en.vtt
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15. Momentum-r-rYz_PEWC8.mp4
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15. Momentum-r-rYz_PEWC8.pt-BR.vtt
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15. Momentum-r-rYz_PEWC8.zh-CN.vtt
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15. Momentum.html
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16. Error Functions Around the World-34AAcTECu2A.en.vtt
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16. Error Functions Around the World-34AAcTECu2A.mp4
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16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt
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16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt
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16. Error Functions Around the World.html
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6.27 KB
img
regularization-quiz.png
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screen-shot-2018-03-19-at-3.49.28-pm.png
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471.61 KB
index.html
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4.61 KB
Part 05-Module 01-Lesson 03_Deep Learning with PyTorch
01. Instructor.html
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5.86 KB
02. Introducing PyTorch.html
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7.36 KB
03. Part 1 V2-n4mbZYIfKb4.en.vtt
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03. Part 1 V2-n4mbZYIfKb4.mp4
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03. Part 1 V2-n4mbZYIfKb4.pt-BR.vtt
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03. Part 1 V2-n4mbZYIfKb4.zh-CN.vtt
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03. PyTorch Tensors.html
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04. Defining Networks.html
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04. Py Part 2 V1-u50_ZyKqt8g.en.vtt
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04. Py Part 2 V1-u50_ZyKqt8g.mp4
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05. Py Part 3 V2-u8hDj5aJK6I.en.vtt
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05. Py Part 3 V2-u8hDj5aJK6I.mp4
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05. Py Part 3 V2-u8hDj5aJK6I.pt-BR.vtt
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05. Py Part 3 V2-u8hDj5aJK6I.zh-CN.vtt
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05. Training Networks.html
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6.68 KB
06. Fashion-MNIST Exercise.html
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6.71 KB
06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt
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06. PyTorch - Part 4-AEJV_RKZ7VU.mp4
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06. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt
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06. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt
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07. Inference Validation.html
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07. Py Part 5 V2-coBbbrGZXI0.en.vtt
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07. Py Part 5 V2-coBbbrGZXI0.mp4
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07. Py Part 5 V2-coBbbrGZXI0.pt-BR.vtt
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07. Py Part 5 V2-coBbbrGZXI0.zh-CN.vtt
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08. Py Part 6 V1-HiTih59dCWQ.en.vtt
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08. Py Part 6 V1-HiTih59dCWQ.mp4
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08. Py Part 6 V1-HiTih59dCWQ.pt-BR.vtt
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08. Saving and Loading Trained Networks.html
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09. Loading Data Sets with Torchvision.html
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09. PyTorch - Part 7-hFu7GTfRWks.en.vtt
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09. PyTorch - Part 7-hFu7GTfRWks.mp4
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10. Py Part 8 V1-3eqn5sgCOsY.en.vtt
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10. Py Part 8 V1-3eqn5sgCOsY.mp4
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10. Py Part 8 V1-3eqn5sgCOsY.pt-BR.vtt
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10. Py Part 8 V1-3eqn5sgCOsY.zh-CN.vtt
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10. Transfer Learning.html
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11. Transfer Learning Solution.html
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Part 06-Module 01-Lesson 01_Deep Learning for Cancer Detection with Sebastian Thrun
01. Intro.html
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01. Introduction-ZCpXvVdIdnY.en.vtt
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01. Introduction-ZCpXvVdIdnY.mp4
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01. Introduction-ZCpXvVdIdnY.pt-BR.vtt
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01. Introduction-ZCpXvVdIdnY.zh-CN.vtt
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02. 02 Skin Cancer V4-70jGZeiTNgk.en.vtt
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02. 02 Skin Cancer V4-70jGZeiTNgk.mp4
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02. 02 Skin Cancer V4-70jGZeiTNgk.pt-BR.vtt
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02. 02 Skin Cancer V4-70jGZeiTNgk.zh-CN.vtt
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02. Skin Cancer.html
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03. Survival Probability of Skin Cancer.html
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03. Survival Rate-QPlp3NeGuSk.en.vtt
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03. Survival Rate-QPlp3NeGuSk.mp4
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03. Survival Rate-QPlp3NeGuSk.pt-BR.vtt
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03. Survival Rate-QPlp3NeGuSk.zh-CN.vtt
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04. Medical Classification-RCOSP60dV7U.en.vtt
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04. Medical Classification-RCOSP60dV7U.mp4
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04. Medical Classification-RCOSP60dV7U.pt-BR.vtt
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04. Medical Classification-RCOSP60dV7U.zh-CN.vtt
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04. Medical Classification.html
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05. The Data-2RLbbV7MQNA.en.vtt
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05. The Data-2RLbbV7MQNA.mp4
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05. The Data-2RLbbV7MQNA.pt-BR.vtt
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05. The Data-2RLbbV7MQNA.zh-CN.vtt
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05. The data.html
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06. 06 Image Challenge V3-Efnoj1KNPHw.en.vtt
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06. 06 Image Challenge V3-Efnoj1KNPHw.mp4
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06. 06 Image Challenge V3-Efnoj1KNPHw.pt-BR.vtt
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06. 06 Image Challenge V3-Efnoj1KNPHw.zh-CN.vtt
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06. Image Challenges.html
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07. 07 Quiz Data Challenges V1-F8yc7BlV93c.en.vtt
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07. 07 Quiz Data Challenges V1-F8yc7BlV93c.mp4
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07. 07 Quiz Data Challenges V1-F8yc7BlV93c.pt-BR.vtt
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07. 07 Quiz Data Challenges V1-F8yc7BlV93c.zh-CN.vtt
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07. Quiz Data Challenges.html
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08. Solution Data Challenges-1z3o4niQuNg.en.vtt
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08. Solution Data Challenges-1z3o4niQuNg.mp4
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08. Solution Data Challenges-1z3o4niQuNg.pt-BR.vtt
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08. Solution Data Challenges-1z3o4niQuNg.zh-CN.vtt
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08. Solution Data Challenges.html
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09. Training The Neural Network-HwiI-UXUx-M.en.vtt
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09. Training The Neural Network-HwiI-UXUx-M.mp4
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09. Training The Neural Network-HwiI-UXUx-M.pt-BR.vtt
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09. Training The Neural Network-HwiI-UXUx-M.zh-CN.vtt
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09. Training the Neural Network.html
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10. 10 Quiz Random Vs Preinitiliazed Weights V3-DRC1e4XGl2M.en.vtt
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10. Quiz Random vs Pre-initialized Weights.html
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11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.en.vtt
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11. Solution Random Vs Preinitialized Thoughts-sOuoRZRKDzs.zh-CN.vtt
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11. Solution Random vs Pre-initialized Weight.html
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12. Validating The Training-Oxm9ofvov3I.en.vtt
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12. Validating The Training-Oxm9ofvov3I.mp4
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12. Validating The Training-Oxm9ofvov3I.pt-BR.vtt
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12. Validating The Training-Oxm9ofvov3I.zh-CN.vtt
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12. Validating the Training.html
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13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.en.vtt
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13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.mp4
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13. 13 Quiz Sensitivity And Specificty V3-O17MnhWBmKA.zh-CN.vtt
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13. Quiz Sensitivity and Specificity.html
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14. Solution Sensitivity and Specificity.html
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14. Solution Sensitivty And Specificity-GBZjyeMjKxc.en.vtt
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14. Solution Sensitivty And Specificity-GBZjyeMjKxc.zh-CN.vtt
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15. More on Sensitivity and Specificity.html
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16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.en.vtt
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16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.mp4
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16. 15 Quiz Diagnosing Cancer V3-4UzkwecBJro.pt-BR.vtt
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16. Quiz Diagnosing Cancer.html
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17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.en.vtt
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17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.mp4
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17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.pt-BR.vtt
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17. 16 Solution Diagnosing Cancer V3-IJYvt2ssUFk.zh-CN.vtt
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17. Solution Diagnosing Cancer.html
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18. Images-1GdiN5Wc8LA.mp4
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18. ROC Curve-2Iw5TiGzJI4.en.vtt
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18. ROC Curve-2Iw5TiGzJI4.mp4
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18. ROC Curve-2Iw5TiGzJI4.pt-BR.vtt
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18. ROC Curve-2Iw5TiGzJI4.zh-CN.vtt
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18. Refresh on ROC Curves.html
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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.en.vtt
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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.mp4
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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.pt-BR.vtt
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19. 17 Quiz ROC Curve 1 PT2 V1-Xv3v59_CfEU.zh-CN.vtt
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19. Quiz ROC Curve.html
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20. Solution ROC Curve-sdUUf6RRmXI.en.vtt
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20. Solution ROC Curve-sdUUf6RRmXI.mp4
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20. Solution ROC Curve-sdUUf6RRmXI.pt-BR.vtt
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20. Solution ROC Curve-sdUUf6RRmXI.zh-CN.vtt
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20. Solution ROC Curve.html
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21. Comparing our Results with Doctors.html
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21. ROC Curve-fWwe_JlpnlQ.en.vtt
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21. ROC Curve-fWwe_JlpnlQ.mp4
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21. ROC Curve-fWwe_JlpnlQ.pt-BR.vtt
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22. Visualization-aGIGB4Ta3_A.en.vtt
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22. Visualization-aGIGB4Ta3_A.mp4
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22. Visualization-aGIGB4Ta3_A.pt-BR.vtt
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22. Visualization-aGIGB4Ta3_A.zh-CN.vtt
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22. Visualization.html
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23. What Is The Neural Network Looking At-qN-rvoxPbBw.en.vtt
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23. What Is The Neural Network Looking At-qN-rvoxPbBw.mp4
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23. What Is The Neural Network Looking At-qN-rvoxPbBw.pt-BR.vtt
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23. What Is The Neural Network Looking At-qN-rvoxPbBw.zh-CN.vtt
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23. What is the network looking at.html
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24. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt
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24. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt
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24. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4
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24. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt
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24. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt
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24. Refresh on Confusion Matrices.html
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25. Confusion Matrix-3rpN-YYlfes.en.vtt
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25. Confusion Matrix-3rpN-YYlfes.mp4
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25. Confusion Matrix-3rpN-YYlfes.pt-BR.vtt
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25. Confusion Matrix-3rpN-YYlfes.zh-CN.vtt
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25. Confusion Matrix.html
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26. Conclusion-WhpE_8sTt-0.en.vtt
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26. Conclusion-WhpE_8sTt-0.mp4
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26. Conclusion-WhpE_8sTt-0.pt-BR.vtt
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26. Conclusion-WhpE_8sTt-0.zh-CN.vtt
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26. Conclusion.html
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27. Useful Resources.html
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28. Mini Project Introduction-Rgf3YVFWl-M.en.vtt
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510 B
28. Mini Project Introduction-Rgf3YVFWl-M.mp4
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1.15 MB
28. Mini Project Introduction-Rgf3YVFWl-M.pt-BR.vtt
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28. Mini Project Introduction-Rgf3YVFWl-M.zh-CN.vtt
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28. Mini Project Introduction.html
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29. Mini Project Dermatologist AI.html
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img
cat-1.jpeg
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cat-2.jpeg
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cat-3.png
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confusion-matrix.png
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lesions.png
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nature.png
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new-confusion-matrix.png
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precision-recall.png
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roc-curve.png
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roc-curves.png
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roc.png
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sample-confusion-matrix.png
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sample-roc-curve.png
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sensitivity-specificity.png
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skin-disease-classes.png
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threshold.png
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index.html
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media
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Part 07-Module 01-Lesson 01_Sentiment Analysis
01. Introducing Andrew Trask-ltO71Bm8b3M.en.vtt
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01. Introducing Andrew Trask-ltO71Bm8b3M.mp4
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01. Introducing Andrew Trask-ltO71Bm8b3M.pt-BR.vtt
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01. Introducing Andrew Trask-ltO71Bm8b3M.zh-CN.vtt
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01. Introducing Andrew Trask.html
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02. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt
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02. Andrew Trask - Intro-da1I0mea1jQ.mp4
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02. Meet Andrew.html
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03. Materials.html
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04. The Notebooks.html
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05. Framing the Problem-IsTOnkAKaJw.en.vtt
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05. Framing the Problem-IsTOnkAKaJw.mp4
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05. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt
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05. Framing the Problem.html
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06. Mini Project 1.html
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07. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt
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07. Mini Project 1 Solution-l4r5l0HvHRI.mp4
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07. Mini Project 1 Solution.html
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08. Transforming Text into Numbers-7rHBU5cbePE.en.vtt
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08. Transforming Text into Numbers-7rHBU5cbePE.mp4
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08. Transforming Text into Numbers.html
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09. Mini Project 2.html
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10. Mini Project 2 Solution-45ihpPaeO8E.en.vtt
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10. Mini Project 2 Solution-45ihpPaeO8E.mp4
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10. Mini Project 2 Solution.html
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11. Building a Neural Network-aM2k7RTjjJI.en.vtt
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11. Building a Neural Network-aM2k7RTjjJI.mp4
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11. Building a Neural Network.html
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12. Mini Project 3.html
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13. Mini Project 3 Solution-imnxzCev4SI.en.vtt
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13. Mini Project 3 Solution-imnxzCev4SI.mp4
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13. Mini Project 3 Solution.html
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14. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt
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14. Understanding Neural Noise-ubqhh4Iv7O4.mp4
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14. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt
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14. Understanding Neural Noise.html
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15. Mini Project 4.html
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16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt
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16. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4
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16. Understanding Inefficiencies in our Network.html
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17. Mini Project 5.html
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18. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt
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18. Mini Project 5 Solution-Hv86B_jjWTI.mp4
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18. Mini Project 5 Solution.html
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19. Further Noise Reduction-Kl3hWxizKVg.en.vtt
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19. Further Noise Reduction.html
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20. Mini Project 6.html
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21. Mini Project 6 Solution-ji0famK7gOQ.en.vtt
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21. Mini Project 6 Solution-ji0famK7gOQ.mp4
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21. Mini Project 6 Solution.html
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22. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt
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22. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4
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22. Analysis What's Going on in the Weights.html
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23. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt
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23. Andrew Trask - Outro-nIF0GLOQglQ.mp4
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23. Conclusion.html
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index.html
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Part 08-Module 01-Lesson 01_Fully-Convolutional Neural Networks & Semantic Segmentation
01. Intro-1sm1EbfilXI.en.vtt
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01. Intro-1sm1EbfilXI.mp4
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01. Intro-1sm1EbfilXI.zh-CN.vtt
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01. Intro.html
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02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.en.vtt
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02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.mp4
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02. Why Fully Convolutional Networks (FCNs) -WQ_YOz1o9GM.zh-CN.vtt
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02. Why Fully Convolutional Networks (FCNs) .html
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03. Fully Convolutional Networks-_Lh2ozg5yTs.en.vtt
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03. Fully Convolutional Networks-_Lh2ozg5yTs.zh-CN.vtt
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03. Fully Convolutional Networks.html
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04. Fully Connected to 1x1 Convolution-xbPtOhkJW1A.en.vtt
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04. Fully Connected to 1x1 Convolution.html
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05. Transposed Convolutions-K6mlLX8ZZDs.en.vtt
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05. Transposed Convolutions.html
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06. Skip Connections-JUYLA5PWzo0.en.vtt
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06. Skip Connections.html
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07. FCNs In The Wild-q9wTd53-hsw.en.vtt
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07. FCNs In The Wild.html
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08. Bounding Boxes-uPv4d0Xl8hc.en.vtt
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08. Bounding Boxes.html
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09. Semantic Segmentation-_L5gJnZrw48.en.vtt
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09. Semantic Segmentation-_L5gJnZrw48.mp4
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09. Semantic Segmentation-_L5gJnZrw48.zh-CN.vtt
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09. Semantic Segmentation.html
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10. Semantic Segmentation and FCN's.html
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11. Scene Understanding-aMQREc-mP50.en.vtt
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12. IoU---9BTjOsO6U.en.vtt
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12. IoU.html
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13. IOU Example.html
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14. FCN-8 Architecture.html
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15. Outro-vyNI5hdMigs.en.vtt
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index.html
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Part 09-Module 01-Lesson 01_C++ Getting Started
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02. Lesson Overview C++-lR3PH3bL-9U.en.vtt
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02. Nd113 C3 L1 04 L Lesson Overview 2 V1-DjT2E23xhj8.en.vtt
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03. Elecia White.html
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04. Why C++-_t4ZvwfnuCA.en.vtt
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04. Why C++-_t4ZvwfnuCA.mp4
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04. Why C++.html
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05. Python and C++ Comparison.html
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06. Static Vs Dynamic Typing-D7v6iIAORkE.en.vtt
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06. Static vs Dynamic Typing.html
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07. C++ - A Statically Typed Language.html
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08. Basic Data Types.html
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09. Floating versus Double [demonstration].html
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10. Doubles Are Bigger-uhwTWgmM2iY.en.vtt
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11. Common Errors and Error Messages.html
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12. C++ Functions.html
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13. Anatomy of a Function.html
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14. Multiple Outputs.html
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16. Function Signatures 1-T6kQ_4w98IQ.en.vtt
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18. If and Boolean Logic.html
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19. While and For Loops.html
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20. Switch Statement.html
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21. Libraries.html
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22. Forge on!.html
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22. Nd113 C Basics Last Video V1-dtu-RXovl0U.en.vtt
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Part 09-Module 01-Lesson 02_C++ Vectors
01. C++ Vectors.html
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02. Namespaces.html
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03. Python Lists vs. C++ Vectors.html
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04. Initializing Vector Values.html
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05. Vector Methods.html
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06. Vectors and For Loops.html
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07. Math and Vectors.html
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08. 1D Vector Playground.html
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09. 2D Vectors.html
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10. 2D Vectors and For Loops.html
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11. 2D Vector Playground.html
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12. Next Lesson.html
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vectors.png
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Part 09-Module 01-Lesson 03_Practical C++
01. Introduction To Compilation-dyzGEB8YDGg.en.vtt
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01. Introduction to Compilation.html
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02. Running Code Locally.html
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03. C++ Versions.html
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04. Structuring Functions and File Organization.html
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05. Input and Output.html
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06. Reading in Text Files.html
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07. Outputting to Text Files.html
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Part 09-Module 01-Lesson 04_C++ Object Oriented Programming
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01. Introduction.html
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02. Python vs. C++.html
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03. Why Use Object Oriented Programming-G2KzZfNu9Ak.en.vtt
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04. Using a Class in C++ [Demo].html
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05. Explanation of the Main.cpp File.html
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06. Practice Using a Class.html
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07. Review Anatomy of a Class.html
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08. Other Facets of C++ Classes.html
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09. Private and Public.html
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10. Header Files.html
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11. Inclusion Guards.html
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12. Implement a Class.html
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13. Class Variables.html
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14. Class Function Declarations.html
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15. Constructor Functions.html
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16. Set and Get Functions.html
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17. Matrix Functions.html
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18. Use an Inclusion Guard.html
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19. Instantiate an Object.html
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20. Running your Program Locally.html
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Part 09-Module 01-Lesson 05_Python and C++ Speed
01. Introduction-JklGKdn3_go.en.vtt
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01. Introduction-JklGKdn3_go.zh-CN.vtt
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01. Introduction.html
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02. Executing the Move Function.html
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03. Moving in Python.html
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04. Moving in C++.html
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05. Comparing Speeds.html
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index.html
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Part 09-Module 02-Lesson 01_C++ Intro to Optimization
01. Course Introduction-Lwc5oYApdUM.en.vtt
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01. Course Introduction-Lwc5oYApdUM.mp4
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02. C Opt 01 L V2-Kdx1_BI5ddc.en.vtt
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02. Empathize with the Computer.html
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03. 02 L Intro To Comp HW V1 RENDER V1-WDMGkq9mkB8.en.vtt
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03. Intro to Computer Hardware.html
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04. Embedded Terminal Explanation.html
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05. Demo Machine Code.html
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06. Assembly Language.html
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07. 03 L Binary V1 RENDER V1-K6CpHxnhc2s.en.vtt
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10. 04 L C And RAM V1 RENDER V1-60jEbKV1UOI.en.vtt
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10. Memory and the CPU.html
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11. Demo Stack vs Heap.html
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12. C Opt 05 L V3-rTtZVyWxYG8.en.vtt
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Part 09-Module 02-Lesson 02_C++ Optimization Practice
01. Introduction.html
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02. Software Development and Optimization.html
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03. Optimization Techniques.html
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04. Dead Code.html
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05. Exercise Remove Dead Code.html
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06. If Statements.html
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07. Exercise If Statements.html
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08. For Loops.html
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09. Exercise For Loops.html
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10. Intermediate Variables.html
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11. Exercise Intermediate Variables.html
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12. Vector Storage.html
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13. Exercise Vector Storage.html
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14. References.html
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15. Exercise References.html
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16. Nd113 Story 1 V1-lIe2zso8A-w.en.vtt
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16. Sebastian's Synchronization Story.html
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17. Static Keyword.html
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18. Exercise Static Keyword.html
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19. Nd113 C L2 01 V1-h_P7ceb5ido.en.vtt
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19. Speed Challenge.html
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index.html
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Part 09-Module 02-Lesson 03_Project Optimize Histogram Filter
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02. Nd113 Running The Project V1--X1pB-HTdnQ.en.vtt
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02. Project Walk Through.html
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03. Project Code.html
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04. GCC Flags.html
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05. Project Solution.html
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index.html
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Visit Coursedrive.net.url
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assets
css
bootstrap.min.css
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fonts
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udp://9.rarbg.to:2710/announce
udp://bt.xxx-tracker.com:2710/announce
udp://tracker.cyberia.is:6969/announce
udp://retracker.lanta-net.ru:2710/announce
udp://9.rarbg.to:2770/announce
udp://9.rarbg.me:2730/announce
udp://eddie4.nl:6969/announce
udp://tracker.mg64.net:6969/announce
udp://open.demonii.si:1337/announce
udp://tracker.zer0day.to:1337/announce
udp://tracker.tiny-vps.com:6969/announce
udp://ipv6.tracker.harry.lu:80/announce
udp://9.rarbg.me:2740/announce
udp://9.rarbg.me:2770/announce
udp://denis.stalker.upeer.me:6969/announce
udp://tracker.port443.xyz:6969/announce
udp://tracker.moeking.me:6969/announce
udp://exodus.desync.com:6969/announce
udp://9.rarbg.to:2740/announce
udp://9.rarbg.to:2720/announce
udp://tracker.justseed.it:1337/announce
udp://tracker.torrent.eu.org:451/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://tracker.open-internet.nl:6969/announce
udp://torrentclub.tech:6969/announce
udp://open.stealth.si:80/announce
http://tracker.tfile.co:80/announce
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