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[ DevCourseWeb com ] Udemy - Convolution Neural Network with Data Augmentation

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Name:[ DevCourseWeb com ] Udemy - Convolution Neural Network with Data Augmentation

Infohash: 9284BB78D578D65B1241A467C081B648A45A11BF

Total Size: 693.53 MB

Seeds: 1

Leechers: 17

Stream: Watch Full Movies @ LimeMovies

Last Updated: 2022-02-17 21:56:47 (Update Now)

Torrent added: 2022-02-14 21:03:00






Torrent Files List


Get Bonus Downloads Here.url (Size: 693.53 MB) (Files: 63)

 Get Bonus Downloads Here.url

0.18 KB

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  1. Introduction

   1. Introduction.mp4

52.17 MB

   1. Introduction.srt

11.07 KB

   1.1 Part1.mp4

23.53 MB

   2. Introduction Part2.mp4

23.29 MB

   2. Introduction Part2.srt

6.02 KB

   3. Flatten.mp4

11.06 MB

   3. Flatten.srt

2.86 KB

  10. Popular CNN Architectures

   1. LeNET.mp4

16.42 MB

   1. LeNET.srt

5.35 KB

   2. AlexNET.mp4

29.09 MB

   2. AlexNET.srt

7.25 KB

   3. GoogLeNet.mp4

46.67 MB

   3. GoogLeNet.srt

10.25 KB

   4. Resnet.mp4

34.90 MB

   4. Resnet.srt

9.24 KB

  11. Object Detection

   1. Object Detection Introduction and History.mp4

14.10 MB

   1. Object Detection Introduction and History.srt

2.63 KB

   2. Histogram of Gradients (HoGs).mp4

30.14 MB

   2. Histogram of Gradients (HoGs).srt

4.41 KB

   3. Applications of Object Detection, Algorithm of OD and Localization.mp4

13.92 MB

   3. Applications of Object Detection, Algorithm of OD and Localization.srt

3.01 KB

  12. Practical Exercises

   1. MNIST Case Study - Number Classification.mp4

54.40 MB

   1. MNIST Case Study - Number Classification.srt

7.32 KB

  2. Kernel, Depth, Stride, Padding and Pooling Layer

   1. Kernel, Depth, Stride and Padding.mp4

57.19 MB

   1. Kernel, Depth, Stride and Padding.srt

18.51 KB

   2. Pooling Layer.mp4

35.28 MB

   2. Pooling Layer.srt

9.43 KB

  3. Relationship between Input Layer and Output Layer

   1. Condition 1 - No Stride and No Padding.mp4

7.40 MB

   1. Condition 1 - No Stride and No Padding.srt

2.40 KB

   2. Condition 2 - Padding.mp4

5.43 MB

   2. Condition 2 - Padding.srt

2.31 KB

   3. Condition 3 - Padding and Stride.mp4

4.54 MB

   3. Condition 3 - Padding and Stride.srt

2.07 KB

  4. CNN Architectures

   1. CNN Architectures.mp4

10.61 MB

   1. CNN Architectures.srt

3.36 KB

  5. Dropout Layer

   1. Dropout Layer.mp4

27.38 MB

   1. Dropout Layer.srt

7.70 KB

  6. Practical Exercise

   1. Practical Exercise 1.mp4

20.41 MB

   1. Practical Exercise 1.srt

3.92 KB

   2. Practical Exercise 2.mp4

69.46 MB

   2. Practical Exercise 2.srt

11.18 KB

  7. Training CNN

   1. Training CNN - Introduction.mp4

7.51 MB

   1. Training CNN - Introduction.srt

2.28 KB

   2. Activation Layers & ReLU.mp4

4.20 MB

   2. Activation Layers & ReLU.srt

1.70 KB

   3. Softmax Activation Layer.mp4

4.82 MB

   3. Softmax Activation Layer.srt

1.48 KB

   4. Pooling Layer.mp4

3.65 MB

   4. Pooling Layer.srt

1.41 KB

   5. Fully Connected Layer.mp4

3.03 MB

   5. Fully Connected Layer.srt

0.88 KB

  8. Designing CNN

   1. Designing CNN.mp4

9.40 MB

   1. Designing CNN.srt

3.29 KB

  9. Data Augmentation

   1. Data Augmentation.mp4

4.36 MB

   1. Data Augmentation.srt

1.92 KB

   2. Research Paper 1.mp4

21.03 MB

   2. Research Paper 1.srt

1.79 KB

   3. Research Paper 2.mp4

24.05 MB

   3. Research Paper 2.srt

1.95 KB

   4. Research Paper 3.mp4

23.95 MB

   4. Research Paper 3.srt

2.28 KB

  Bonus Resources.txt

0.38 KB
 

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