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[FreeCoursesOnline Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]

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[FreeCoursesOnline Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]

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Name:[FreeCoursesOnline Me] [UDACITY] PyTorch Scholarship Challenge - [FCO]

Infohash: 1587DB75E7DB855B82A7586DF9445C932385B4D4

Total Size: 1.09 GB

Seeds: 0

Leechers: 0

Stream: Watch Full Movie @ Movie4u

Last Updated: 2021-10-31 05:20:52 (Update Now)

Torrent added: 2018-11-25 04:03:28






Torrent Files List


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 Part 01_Deep Learning with PyTorch

  Module 01_Lessons

   Lesson 01_Welcome to the Scholarship Challenge!

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   Lesson 02_Introduction to Neural Networks

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   Lesson 03_Talking PyTorch with Soumith Chintala

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   Lesson 04_Introduction to PyTorch

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   Lesson 05_Convolutional Neural Networks

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   Lesson 06_Style Transfer

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   Lesson 07_Recurrent Neural Networks

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   Lesson 08_Sentiment Prediction with RNNs

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   Lesson 09_Deploying PyTorch Models

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   Lesson 10_Challenge Project

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 Part 01-Module 01-Lesson 01_Welcome to the Scholarship Challenge!

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  01. Welcome to the course!.html

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  03. Course Outline.html

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  04. How this program works.html

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  05. Join the Scholar Learning Community.html

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  06. Scholarship Challenge Project.html

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 Part 01-Module 01-Lesson 02_Introduction to Neural Networks

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  01. Introduction.html

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  02. Classification Problems 1.html

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  31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt

3.02 KB

  31. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4

2.83 MB

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  31. Combinando modelos-Boy3zHVrWB4.en.vtt

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4.73 MB

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5.29 KB

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  31. Layers-pg99FkXYK0M.en.vtt

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3.04 KB

  31. Multiclass Classification-uNTtvxwfox0.en.vtt

2.08 KB

  31. Multiclass Classification-uNTtvxwfox0.mp4

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2.12 KB

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1.82 KB

  31. Neural Network Architecture.html

13.86 KB

  32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt

6.17 KB

  32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4

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  32. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt

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  32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt

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  32. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt

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1.69 KB

  32. Feedforward.html

10.49 KB

  33. Backpropagation.html

13.31 KB

  33. Backpropagation V2-1SmY3TZTyUk.en.vtt

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  33. Backpropagation V2-1SmY3TZTyUk.mp4

6.52 MB

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  33. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt

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  33. Calculating The Gradient 1 -tVuZDbUrzzI.mp4

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  33. Chain Rule-YAhIBOnbt54.en.vtt

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  33. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt

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5.05 KB

  34. Pre-Notebook Analyzing Student Data.html

10.25 KB

  35. Notebook Analyzing Student Data.html

9.65 KB

  36. Training Optimization.html

9.24 KB

  36. Training Optimization-UiGKhx9pUYc.en.vtt

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  36. Training Optimization-UiGKhx9pUYc.mp4

2.96 MB

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  37. Testing-EeBZpb-PSac.en.vtt

2.41 KB

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2.00 MB

  37. Testing-EeBZpb-PSac.pt-BR.vtt

2.37 KB

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1.99 KB

  37. Testing.html

9.14 KB

  38. Overfitting and Underfitting.html

9.29 KB

  38. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt

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  38. Underfitting And Overfitting-xj4PlXMsN-Y.mp4

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  38. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt

8.15 KB

  38. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt

6.54 KB

  39. Early Stopping.html

9.23 KB

  39. Model Complexity Graph-NnS0FJyVcDQ.en.vtt

5.32 KB

  39. Model Complexity Graph-NnS0FJyVcDQ.mp4

4.90 MB

  39. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt

5.52 KB

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4.65 KB

  40. DL 53 Q Regularization-KxROxcRsHL8.en.vtt

1.15 KB

  40. DL 53 Q Regularization-KxROxcRsHL8.mp4

1.01 MB

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1.16 KB

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1.02 KB

  40. Regularization.html

10.27 KB

  41. Regularization 2.html

9.19 KB

  41. Regularization-ndYnUrx8xvs.en.vtt

8.07 KB

  41. Regularization-ndYnUrx8xvs.mp4

7.57 MB

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8.78 KB

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6.96 KB

  42. Dropout.html

9.14 KB

  42. Dropout-Ty6K6YiGdBs.en.vtt

4.71 KB

  42. Dropout-Ty6K6YiGdBs.mp4

4.22 MB

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4.66 KB

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  43. Local Minima-gF_sW_nY-xw.en.vtt

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  43. Local Minima-gF_sW_nY-xw.mp4

819.86 KB

  43. Local Minima-gF_sW_nY-xw.pt-BR.vtt

1.05 KB

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1.01 KB

  43. Local Minima.html

9.18 KB

  44. Random Restart.html

9.19 KB

  44. Random Restart-idyBBCzXiqg.en.vtt

0.46 KB

  44. Random Restart-idyBBCzXiqg.mp4

394.99 KB

  44. Random Restart-idyBBCzXiqg.pt-BR.vtt

0.47 KB

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0.41 KB

  45. Vanishing Gradient.html

9.22 KB

  45. Vanishing Gradient-W_JJm_5syFw.en.vtt

1.46 KB

  45. Vanishing Gradient-W_JJm_5syFw.mp4

1.32 MB

  45. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt

1.56 KB

  45. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt

1.24 KB

  46. Other Activation Functions.html

9.57 KB

  46. Other Activation Functions-kA-1vUt6cvQ.en.vtt

2.68 KB

  46. Other Activation Functions-kA-1vUt6cvQ.mp4

2.30 MB

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2.55 KB

  46. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt

2.34 KB

  47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt

4.64 KB

  47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4

3.95 MB

  47. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt

4.63 KB

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4.10 KB

  47. Batch vs Stochastic Gradient Descent.html

9.34 KB

  48. Learning Rate Decay.html

9.19 KB

  48. Learning Rate-TwJ8aSZoh2U.en.vtt

1.12 KB

  48. Learning Rate-TwJ8aSZoh2U.mp4

927.05 KB

  48. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt

1.26 KB

  48. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt

1.00 KB

  49. Momentum.html

9.15 KB

  49. Momentum-r-rYz_PEWC8.en.vtt

2.50 KB

  49. Momentum-r-rYz_PEWC8.mp4

2.14 MB

  49. Momentum-r-rYz_PEWC8.pt-BR.vtt

2.70 KB

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2.21 KB

  50. Error Functions Around the World-34AAcTECu2A.en.vtt

1.17 KB

  50. Error Functions Around the World-34AAcTECu2A.mp4

1.73 MB

  50. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt

1.08 KB

  50. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt

1.06 KB

  50. Error Functions Around the World.html

9.31 KB

  index.html

6.84 KB

 Part 01-Module 01-Lesson 04_Introduction to PyTorch

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179.99 KB

  01. Welcome!.html

10.96 KB

  02. PyTorch V2 Part 1 V1-6Z7WntXays8.en.vtt

9.75 KB

  02. PyTorch V2 Part 1 V1-6Z7WntXays8.mp4

12.32 MB

  02. Single layer neural networks.html

6.33 KB

  03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.en.vtt

10.42 KB

  03. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp4

15.66 MB

  03. Single layer neural networks solution.html

6.37 KB

  04. Networks Using Matrix Multiplication.html

6.38 KB

  04. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.en.vtt

4.52 KB

  04. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.mp4

6.57 MB

  05. Multilayer Networks Solution.html

6.36 KB

  05. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.en.vtt

4.52 KB

  05. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.mp4

5.90 MB

  06. Neural Networks in PyTorch.html

6.32 KB

  06. PyTorch V2 Part 2 V1-CSQOdOb2mlg.en.vtt

5.83 KB

  06. PyTorch V2 Part 2 V1-CSQOdOb2mlg.mp4

10.84 MB

  07. Neural Networks Solution.html

6.35 KB

  07. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.en.vtt

7.53 KB

  07. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.mp4

8.74 MB

  08. Implementing Softmax Solution.html

6.24 KB

  08. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp4

16.70 MB

  09. Network Architectures in PyTorch.html

6.33 KB

  09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.en.vtt

15.28 KB

  09. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp4

18.80 MB

  10. Network Architectures Solution.html

6.36 KB

  10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.en.vtt

15.36 KB

  10. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp4

21.27 MB

  11. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.en.vtt

2.73 KB

  11. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.mp4

3.56 MB

  11. Training a Network Solution.html

6.36 KB

  12. Classifying Fashion-MNIST.html

6.55 KB

  12. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt

2.26 KB

  12. PyTorch - Part 4-AEJV_RKZ7VU.mp4

3.32 MB

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2.19 KB

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1.91 KB

  13. Fashion-MNIST Solution.html

6.34 KB

  13. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.en.vtt

6.14 KB

  13. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.mp4

8.24 MB

  14. Inference and Validation.html

6.33 KB

  14. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.en.vtt

8.91 KB

  14. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.mp4

13.90 MB

  15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.en.vtt

7.45 KB

  15. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp4

15.84 MB

  15. Validation Solution.html

6.34 KB

  16. Dropout Solution.html

6.34 KB

  16. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.en.vtt

2.06 KB

  16. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.mp4

2.78 MB

  17. PyTorch - Part 6-3ZJfo2bR-uw.en.vtt

9.34 KB

  17. PyTorch - Part 6-3ZJfo2bR-uw.mp4

15.82 MB

  17. PyTorch - Part 6-3ZJfo2bR-uw.pt-BR.vtt

9.75 KB

  17. PyTorch - Part 6-3ZJfo2bR-uw.zh-CN.vtt

7.87 KB

  17. Saving and Loading Models.html

6.55 KB

  18. Loading Image Data.html

6.53 KB

  18. PyTorch - Part 7-hFu7GTfRWks.en.vtt

10.67 KB

  18. PyTorch - Part 7-hFu7GTfRWks.mp4

15.15 MB

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10.86 KB

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8.56 KB

  19. Loading Image Data Solution.html

6.35 KB

  19. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.en.vtt

4.47 KB

  19. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.mp4

6.80 MB

  20. PyTorch - Part 8-S9F7MtJ5jls.en.vtt

16.82 KB

  20. PyTorch - Part 8-S9F7MtJ5jls.mp4

29.51 MB

  20. PyTorch - Part 8-S9F7MtJ5jls.pt-BR.vtt

16.61 KB

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13.19 KB

  20. Transfer Learning.html

6.53 KB

  21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.en.vtt

13.49 KB

  21. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp4

18.50 MB

  21. Transfer Learning Solution.html

6.35 KB

  22. Tips, Tricks, and Other Notes.html

7.59 KB

  index.html

4.84 KB

 Part 01-Module 01-Lesson 05_Convolutional Neural Networks

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6.62 KB

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45.73 KB

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   screen-shot-2016-11-24-at-12.08.11-pm.png

2.90 MB

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3.09 MB

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3.49 MB

   screen-shot-2017-06-26-at-10.44.50-am.png

50.60 KB

   screen-shot-2018-05-31-at-2.59.36-pm.png

192.67 KB

   screen-shot-2018-05-31-at-3.06.07-pm.png

169.94 KB

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52.08 KB

   screen-shot-2018-09-24-at-3.17.56-pm.png

112.47 KB

   screen-shot-2018-09-24-at-3.18.33-pm.png

458.93 KB

  01. Introducing Alexis-38ExGpdyvJI.en.vtt

0.68 KB

  01. Introducing Alexis-38ExGpdyvJI.mp4

2.05 MB

  01. Introducing Alexis-38ExGpdyvJI.pt-BR.vtt

0.58 KB

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0.60 KB

  01. Introducing Alexis.html

9.06 KB

  02. Applications of CNNs-HrYNL_1SV2Y.en.vtt

5.37 KB

  02. Applications of CNNs-HrYNL_1SV2Y.mp4

17.70 MB

  02. Applications of CNNs-HrYNL_1SV2Y.pt-BR.vtt

5.66 KB

  02. Applications of CNNs-HrYNL_1SV2Y.zh-CN.vtt

4.70 KB

  02. Applications of CNNs.html

14.19 KB

  03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.en.vtt

1.26 KB

  03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.mp4

2.34 MB

  03. ConNet 01 LessonOutline V1 V1-77LzWE1qQrc.pt-BR.vtt

1.30 KB

  03. Lesson Outline.html

9.71 KB

  04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.en.vtt

2.82 KB

  04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.mp4

2.40 MB

  04. ConNet 021 MNISTClassification V1 V2-a7bvIGZpcnk.pt-BR.vtt

2.64 KB

  04. MNIST Dataset.html

9.24 KB

  05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.en.vtt

3.84 KB

  05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.mp4

4.44 MB

  05. ConNet 022 How Computers Interpret Images V1-mEPfoM68Fx4.pt-BR.vtt

4.07 KB

  05. How Computers Interpret Images.html

10.76 KB

  06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.en.vtt

3.11 KB

  06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.mp4

2.87 MB

  06. ConNet 03 MLPStructure&ClassScore V1 V1-fP0Odiai8sk.pt-BR.vtt

3.16 KB

  06. MLP Structure & Class Scores.html

9.49 KB

  07. 04 Do Your Research V1-CR4JeAn1fgk.en.vtt

2.69 KB

  07. 04 Do Your Research V1-CR4JeAn1fgk.mp4

4.02 MB

  07. 04 Do Your Research V1-CR4JeAn1fgk.pt-BR.vtt

2.80 KB

  07. Do Your Research.html

8.76 KB

  08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.en.vtt

7.51 KB

  08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.mp4

6.55 MB

  08. ConNet 05 Loss&Optimization V1 V3-BmPDtSXv18w.pt-BR.vtt

7.48 KB

  08. Loss & Optimization.html

8.83 KB

  09. 06 Defining A Network V1-9gvaQvyfLfY.en.vtt

7.13 KB

  09. 06 Defining A Network V1-9gvaQvyfLfY.mp4

9.78 MB

  09. 06 Defining A Network V1-9gvaQvyfLfY.pt-BR.vtt

6.84 KB

  09. Defining a Network in PyTorch.html

9.91 KB

  10. 07 Training The Network V1-904bfqibcCw.en.vtt

6.54 KB

  10. 07 Training The Network V1-904bfqibcCw.mp4

10.52 MB

  10. 07 Training The Network V1-904bfqibcCw.pt-BR.vtt

6.12 KB

  10. Training the Network.html

10.44 KB

  11. Pre-Notebook MLP Classification, Exercise.html

10.09 KB

  12. Notebook MLP Classification, MNIST.html

9.31 KB

  13. 09 One Solution V2-7q37WPjQhDA.en.vtt

7.93 KB

  13. 09 One Solution V2-7q37WPjQhDA.mp4

11.59 MB

  13. 09 One Solution V2-7q37WPjQhDA.pt-BR.vtt

7.60 KB

  13. One Solution.html

10.10 KB

  14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.en.vtt

4.62 KB

  14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.mp4

3.34 MB

  14. ConNet10 ModelValidation V1 V2-b5934VsV3SA.pt-BR.vtt

4.35 KB

  14. Model Validation.html

8.79 KB

  15. 11 Validation Loss V2-uGPP_-pbBsc.en.vtt

8.76 KB

  15. 11 Validation Loss V2-uGPP_-pbBsc.mp4

14.23 MB

  15. 11 Validation Loss V2-uGPP_-pbBsc.pt-BR.vtt

8.43 KB

  15. Validation Loss.html

9.64 KB

  16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.en.vtt

1.75 KB

  16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.mp4

2.40 MB

  16. ConNet 13 ImageClassification V1 V2-UHFBnitKraA.pt-BR.vtt

1.67 KB

  16. Image Classification Steps.html

8.83 KB

  17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.en.vtt

3.04 KB

  17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.mp4

4.24 MB

  17. ConNet 14 MLPvsCNN V1 V2-Q7CR3cCOtJQ.pt-BR.vtt

2.97 KB

  17. MLPs vs CNNs.html

9.04 KB

  18. Local Connectivity.html

8.87 KB

  18. Local Connectivity-z9wiDg0w-Dc.en.vtt

8.95 KB

  18. Local Connectivity-z9wiDg0w-Dc.mp4

13.09 MB

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9.29 KB

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7.62 KB

  19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.en.vtt

2.11 KB

  19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.mp4

2.95 MB

  19. 15 Filters And Convo RENDER V2-x_dhnhUzFNo.pt-BR.vtt

2.11 KB

  19. Filters and the Convolutional Layer.html

8.83 KB

  20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.en.vtt

1.61 KB

  20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.mp4

3.50 MB

  20. ConNet 16 FIlters & Edges V2-hfqNqcEU6uI.pt-BR.vtt

1.63 KB

  20. Filters & Edges.html

9.33 KB

  21. Frequency in Images.html

11.10 KB

  22. High-pass Filters.html

9.99 KB

  22. High-pass Filters-OpcFn_H2V-Q.en.vtt

7.56 KB

  22. High-pass Filters-OpcFn_H2V-Q.mp4

8.25 MB

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8.22 KB

  22. High-pass Filters-OpcFn_H2V-Q.zh-CN.vtt

6.57 KB

  23. Quiz Kernels.html

9.98 KB

  24. OpenCV & Creating Custom Filters.html

11.16 KB

  25. Notebook Finding Edges.html

9.28 KB

  26. Convolutional Layer.html

11.34 KB

  27. Convolutional Layers (Part 2).html

9.67 KB

  27. Convolutional Layers-RnM1D-XI--8.en.vtt

9.99 KB

  27. Convolutional Layers-RnM1D-XI--8.mp4

19.81 MB

  27. Convolutional Layers-RnM1D-XI--8.pt-BR.vtt

11.00 KB

  27. Convolutional Layers-RnM1D-XI--8.zh-CN.vtt

8.71 KB

  28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.en.vtt

3.61 KB

  28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.mp4

6.09 MB

  28. 17 Stride And Padding RENDER V1-GmStpNi8jBI.pt-BR.vtt

3.86 KB

  28. Stride and Padding.html

8.80 KB

  29. 24 CNNs PyTorch V2-GNxzWfiz3do.en.vtt

8.26 KB

  29. 24 CNNs PyTorch V2-GNxzWfiz3do.mp4

12.60 MB

  29. 24 CNNs PyTorch V2-GNxzWfiz3do.pt-BR.vtt

8.11 KB

  29. CNNs in PyTorch.html

9.06 KB

  30. 18 Pooling RENDER V1-_Ok5xZwOtrk.en.vtt

2.90 KB

  30. 18 Pooling RENDER V1-_Ok5xZwOtrk.mp4

2.98 MB

  30. 18 Pooling RENDER V1-_Ok5xZwOtrk.pt-BR.vtt

3.20 KB

  30. Pooling Layers.html

10.72 KB

  31. Notebook Layer Visualization.html

9.29 KB

  32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.en.vtt

4.23 KB

  32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.mp4

4.90 MB

  32. ConNet 20 Increasing Depth V2 RENDERv1 1 V2-YKif1KNpWeE.pt-BR.vtt

4.41 KB

  32. Increasing Depth.html

8.84 KB

  33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.en.vtt

4.74 KB

  33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.mp4

5.75 MB

  33. 21 CNNs For Image Classification RENDER V2-smaw5GqRaoY.pt-BR.vtt

5.07 KB

  33. CNNs for Image Classification.html

14.04 KB

  34. Convolutional Layers in PyTorch.html

20.73 KB

  35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.en.vtt

3.87 KB

  35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.mp4

5.37 MB

  35. ConNet 22 Feature Vector RENDER 1 V2-g6QuiVno8zI.pt-BR.vtt

3.90 KB

  35. Feature Vector.html

8.81 KB

  36. 23 Cifar Class V1-FF_EmZ2sf2w.en.vtt

8.39 KB

  36. 23 Cifar Class V1-FF_EmZ2sf2w.mp4

12.83 MB

  36. 23 Cifar Class V1-FF_EmZ2sf2w.pt-BR.vtt

8.62 KB

  36. CIFAR Classification Example.html

9.63 KB

  37. Notebook CNN Classification.html

10.28 KB

  38. Notebook CNNs for CIFAR Image Classification.html

9.33 KB

  39. Image Augmentation.html

8.78 KB

  39. Image Augmentation In Keras-zQnx2jZmjTA.en.vtt

4.56 KB

  39. Image Augmentation In Keras-zQnx2jZmjTA.mp4

4.93 MB

  39. Image Augmentation In Keras-zQnx2jZmjTA.pt-BR.vtt

4.53 KB

  40. 26 Augmentation V1-J_gjHVt9pVw.en.vtt

3.42 KB

  40. 26 Augmentation V1-J_gjHVt9pVw.mp4

7.62 MB

  40. 26 Augmentation V1-J_gjHVt9pVw.pt-BR.vtt

3.26 KB

  40. Augmentation Using Transformations.html

9.21 KB

  41. Groundbreaking CNN Architectures-GdYOqihgb2k.en.vtt

3.59 KB

  41. Groundbreaking CNN Architectures-GdYOqihgb2k.mp4

7.32 MB

  41. Groundbreaking CNN Architectures-GdYOqihgb2k.pt-BR.vtt

3.86 KB

  41. Groundbreaking CNN Architectures.html

9.97 KB

  42. Visualizing CNNs-mnqS_EhEZVg.en.vtt

3.87 KB

  42. Visualizing CNNs-mnqS_EhEZVg.mp4

9.20 MB

  42. Visualizing CNNs-mnqS_EhEZVg.pt-BR.vtt

3.83 KB

  42. Visualizing CNNs-mnqS_EhEZVg.zh-CN.vtt

3.33 KB

  42. Visualizing CNNs (Part 1).html

11.09 KB

  43. Visualizing CNNs (Part 2).html

15.72 KB

  44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.en.vtt

2.03 KB

  44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.mp4

3.66 MB

  44. ConNet 27 Summary Of CNNs V2 RENDER V3-Te9QCvhx6N8.pt-BR.vtt

2.16 KB

  44. Summary of CNNs.html

8.82 KB

  index.html

6.63 KB

 Part 01-Module 01-Lesson 07_Recurrent Neural Networks

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27.77 KB

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  01. Intro to RNNs.html

7.28 KB

  02. RNN Vs LSTM-70MgF-IwAr8.en.vtt

4.71 KB

  02. RNN Vs LSTM-70MgF-IwAr8.mp4

3.58 MB

  02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt

4.24 KB

  02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt

4.22 KB

  02. RNN vs LSTM.html

6.10 KB

  03. Basics of LSTM.html

6.11 KB

  03. LSTM Basics-gjb68a4XsqE.en.vtt

5.21 KB

  03. LSTM Basics-gjb68a4XsqE.mp4

4.03 MB

  03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt

5.06 KB

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4.59 KB

  04. Architecture of LSTM.html

6.15 KB

  04. LSTM Architecture-ycwthhdx8ws.en.vtt

1.49 KB

  04. LSTM Architecture-ycwthhdx8ws.mp4

1.07 MB

  04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt

1.46 KB

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1.34 KB

  05. Learn Gate-aVHVI7ovbHY.en.vtt

2.63 KB

  05. Learn Gate-aVHVI7ovbHY.mp4

2.22 MB

  05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt

2.66 KB

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2.51 KB

  05. The Learn Gate.html

6.70 KB

  06. Forget Gate-iWxpfxLUPSU.en.vtt

1.26 KB

  06. Forget Gate-iWxpfxLUPSU.mp4

1.04 MB

  06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt

1.33 KB

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1.12 KB

  06. The Forget Gate.html

6.62 KB

  07. Remember Gate-0qlm86HaXuU.en.vtt

0.72 KB

  07. Remember Gate-0qlm86HaXuU.mp4

676.91 KB

  07. Remember Gate-0qlm86HaXuU.pt-BR.vtt

0.68 KB

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0.62 KB

  07. The Remember Gate.html

6.51 KB

  08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt

1.75 KB

  08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4

1.50 MB

  08. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt

1.73 KB

  08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt

1.50 KB

  08. The Use Gate.html

6.74 KB

  09. Putting it All Together.html

6.18 KB

  09. Putting It All Together-IF8FlKW-Zo0.en.vtt

2.42 KB

  09. Putting It All Together-IF8FlKW-Zo0.mp4

1.58 MB

  09. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt

2.36 KB

  09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt

2.13 KB

  10. Other architectures.html

6.55 KB

  10. Other Architectures-MsxFDuYlTuQ.en.vtt

2.31 KB

  10. Other Architectures-MsxFDuYlTuQ.mp4

1.71 MB

  10. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt

2.45 KB

  10. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt

2.04 KB

  11. Implementing RNNs.html

6.56 KB

  12. 02 Time Series Prediction V2-xV5jHLFfJbQ.en.vtt

10.86 KB

  12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp4

15.43 MB

  12. 02 Time Series Prediction V2-xV5jHLFfJbQ.pt-BR.vtt

10.48 KB

  12. Time-Series Prediction.html

6.85 KB

  13. 03 Training Memory V1-sx7T_KP5v9I.en.vtt

7.85 KB

  13. 03 Training Memory V1-sx7T_KP5v9I.mp4

9.57 MB

  13. 03 Training Memory V1-sx7T_KP5v9I.pt-BR.vtt

7.42 KB

  13. Training & Memory.html

8.02 KB

  14. Character-Wise RNN-dXl3eWCGLdU.en.vtt

3.33 KB

  14. Character-Wise RNN-dXl3eWCGLdU.mp4

2.88 MB

  14. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt

3.66 KB

  14. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt

3.04 KB

  14. Character-wise RNNs.html

6.15 KB

  15. Sequence Batching.html

6.14 KB

  15. Sequence-Batching-Z4OiyU0Cldg.en.vtt

2.09 KB

  15. Sequence-Batching-Z4OiyU0Cldg.mp4

2.29 MB

  15. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt

2.33 KB

  15. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt

1.92 KB

  16. Notebook Character-Level RNN.html

8.04 KB

  17. 04 Implementing CharRNN V2-MMtgZXzFB10.en.vtt

11.56 KB

  17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4

16.39 MB

  17. 04 Implementing CharRNN V2-MMtgZXzFB10.pt-BR.vtt

10.73 KB

  17. Implementing a Char-RNN.html

6.42 KB

  18. 05 Batching Data V1-9Eg0wf3eW-k.en.vtt

5.17 KB

  18. 05 Batching Data V1-9Eg0wf3eW-k.mp4

5.82 MB

  18. 05 Batching Data V1-9Eg0wf3eW-k.pt-BR.vtt

4.92 KB

  18. Batching Data, Solution.html

6.04 KB

  19. 06 Defining Model V2-_LWzyqq4hCY.en.vtt

5.76 KB

  19. 06 Defining Model V2-_LWzyqq4hCY.mp4

9.05 MB

  19. 06 Defining Model V2-_LWzyqq4hCY.pt-BR.vtt

5.99 KB

  19. Defining the Model.html

6.52 KB

  20. 07 CharRNN Solution V1-ed33qePHrJM.en.vtt

11.40 KB

  20. 07 CharRNN Solution V1-ed33qePHrJM.mp4

18.32 MB

  20. 07 CharRNN Solution V1-ed33qePHrJM.pt-BR.vtt

11.12 KB

  20. Char-RNN, Solution.html

7.88 KB

  21. 08 Making Predictions V3-BhrpV3kwATo.en.vtt

8.77 KB

  21. 08 Making Predictions V3-BhrpV3kwATo.mp4

12.38 MB

  21. 08 Making Predictions V3-BhrpV3kwATo.pt-BR.vtt

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  21. Making Predictions.html

6.99 KB

  index.html

4.47 KB

 Part 01-Module 01-Lesson 08_Sentiment Prediction with RNNs

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75.93 KB

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  01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.en.vtt

2.17 KB

  01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.mp4

2.20 MB

  01. Sentiment RNN, Introduction.html

5.35 KB

  02. Sentiment Analysis RNNs.html

6.13 KB

  03. Notebook Sentiment RNN.html

7.41 KB

  04. 3 Data PreProcessing V1-Xw1MWmql7no.en.vtt

6.93 KB

  04. 3 Data PreProcessing V1-Xw1MWmql7no.mp4

10.09 MB

  04. Data Pre-Processing.html

5.34 KB

  05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.en.vtt

4.78 KB

  05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.mp4

6.45 MB

  05. Encoding Words, Solution.html

5.34 KB

  06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.en.vtt

3.60 KB

  06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.mp4

4.59 MB

  06. Getting Rid of Zero-Length.html

5.36 KB

  07. 6 Cleaning And Padding V1-UgPo1_cq-0g.en.vtt

4.60 KB

  07. 6 Cleaning And Padding V1-UgPo1_cq-0g.mp4

6.36 MB

  07. Cleaning & Padding Data.html

5.35 KB

  08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.en.vtt

5.04 KB

  08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.mp4

5.48 MB

  08. Padded Features, Solution.html

5.35 KB

  09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.en.vtt

6.61 KB

  09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.mp4

9.01 MB

  09. TensorDataset & Batching Data.html

6.51 KB

  10. 9 DefiningModel V1-SpvIZl1YQRI.en.vtt

5.05 KB

  10. 9 DefiningModel V1-SpvIZl1YQRI.mp4

5.63 MB

  10. Defining the Model.html

5.32 KB

  11. Complete Sentiment RNN.html

11.65 KB

  12. Training the Model.html

12.01 KB

  13. Testing.html

9.33 KB

  14. Inference, Solution.html

12.07 KB

  index.html

4.06 KB

 Part 01-Module 01-Lesson 09_Deploying PyTorch Models

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572.91 KB

  01. Welcome!.html

5.79 KB

  02. Installing PyTorch 1.0.html

4.40 KB

  02. PyTorch 10 Install V1-kIwKPxgReFY.mp4

1.77 MB

  03. PyTorch for Production.html

4.41 KB

  03. PyTorch For Production V1-DBSoZWd4lQo.mp4

6.67 MB

  04. PyTorch Script Tracing V1-lYmQDUprQa0.mp4

8.37 MB

  04. Torch Script & Tracing.html

4.41 KB

  05. Annotations.html

4.39 KB

  05. PyTorch Script Annotation V2-pO1RM7mKaFg.mp4

7.25 MB

  06. PyTorch C++ API.html

4.38 KB

  06. PyTorch C API V2-P1S1dN1gHmw.mp4

11.42 MB

  07. Want to learn more.html

6.87 KB

  index.html

3.40 KB

 Part 01-Module 01-Lesson 10_Challenge Project

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  01. Final project.html

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 Part 01-Module 01-Lesson 03_Talking PyTorch with Soumith Chintala

  01. Origins of PyTorch.html

4.74 KB

  01. Origins Of PyTorch V2-0eLXNFv6aT8.mp4

30.04 MB

  02. Debugging and Designing PyTorch.html

4.78 KB

  02. Debugging And Designing PyTorch-Nn8140ECzPU.mp4

11.71 MB

  03. From Research To Production-eCysOAw8azs.mp4

20.81 MB

  03. From Research to Production.html

4.77 KB

  04. Hybrid Frontend And JIT Compiler-J4z-P8yUZu4.mp4

22.89 MB

  04. Hybrid Frontend.html

4.75 KB

  05. Cutting-Edge Applicationns In PyTorch-s8p6vqOubqw.mp4

15.87 MB

  05. Cutting-edge Applications in PyTorch.html

4.81 KB

  06. User Needs And Adding Features-7HH65_c7Acw.mp4

15.78 MB

  06. User Needs and Adding Features.html

4.78 KB

  07. PyTorch and the Facebook Product.html

4.79 KB

  07. PyTorch And The Facebook Product-TjVveb0iVrA.mp4

7.55 MB

  08. The Future of PyTorch.html

4.75 KB

  08. The Future Of PyTorch-vfCg3FoOjE4.mp4

14.51 MB

  09. Learning Ai-NMItGw0GFGM.mp4

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  09. Learning More in AI.html

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  index.html

3.72 KB

 Part 01-Module 01-Lesson 06_Style Transfer

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1.89 KB

  01. Style Transfer.html

5.14 KB

  02. 02 SeparatingStyleandContent V2-PNFFAhymuHc.en.vtt

5.06 KB

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9.19 MB

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  02. Separating Style & Content.html

5.22 KB

  03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.en.vtt

5.65 KB

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  03. 03 ContentRepandStyleTransfer V3-PQ1UuzOIjCM.pt-BR.vtt

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  03. VGG19 & Content Loss.html

5.21 KB

  04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.en.vtt

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7.76 MB

  04. 41 GramMatrixStyleTransfer V3-e718uVAW3KU.pt-BR.vtt

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  04. Gram Matrix.html

7.61 KB

  05. 42 StyleLossStyleTransfer V2-VazrQ7u-OHo.en.vtt

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1.65 MB

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  05. Style Loss.html

5.17 KB

  06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.en.vtt

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  06. 05 LossWeightsStyleTransfer V2-qO8oiZBtG1I.pt-BR.vtt

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  06. Loss Weights.html

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  07. 6 VGG Features V1-Q5N2NEv7ADc.en.vtt

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7.10 KB

  07. VGG Features.html

5.13 KB

  08. Notebook Style Transfer.html

7.14 KB

  09. 7 Feats Gram Matrix V1-f89x9oAh6X0.en.vtt

3.13 KB

  09. 7 Feats Gram Matrix V1-f89x9oAh6X0.mp4

5.64 MB

  09. 7 Feats Gram Matrix V1-f89x9oAh6X0.pt-BR.vtt

3.32 KB

  09. Features & Gram Matrix.html

5.17 KB

  10. 8 Gram Matrix Sol V1-uncCKMI5Yns.en.vtt

3.55 KB

  10. 8 Gram Matrix Sol V1-uncCKMI5Yns.mp4

4.82 MB

  10. 8 Gram Matrix Sol V1-uncCKMI5Yns.pt-BR.vtt

3.70 KB

  10. Gram Matrix Solution.html

5.16 KB

  11. 9 Defining Loss V1-lix8d3B2QcE.en.vtt

5.07 KB

  11. 9 Defining Loss V1-lix8d3B2QcE.mp4

7.20 MB

  11. 9 Defining Loss V1-lix8d3B2QcE.pt-BR.vtt

5.16 KB

  11. Defining the Loss.html

5.14 KB

  12. 10 Loss Solution V1-DzaQm9awcwY.en.vtt

4.50 KB

  12. 10 Loss Solution V1-DzaQm9awcwY.mp4

7.15 MB

  12. 10 Loss Solution V1-DzaQm9awcwY.pt-BR.vtt

4.69 KB

  12. Total Loss & Complete Solution.html

5.18 KB

  index.html

3.80 KB

 Course index.rar

5.79 KB

 Discuss.FreeTutorials.Us.html

165.68 KB

 FreeCoursesOnline.Me.html

108.30 KB

 FreeTutorials.Eu.html

102.23 KB

 Presented By SaM.txt

0.03 KB

 [TGx]Downloaded from torrentgalaxy.org.txt

0.51 KB

 Torrent Downloaded From GloDls.to.txt

0.08 KB
 

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Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch [FreeCoursesOnline Me] [UDACITY] PyTorch Scholarship Challenge - [FCO] Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.

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