[Tutorialsplanet NET] Udemy - Modern Deep Learning in Python
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| Torrent Hash : | A60897BB8C3664734CA9D28BCDE90147C4A410C2 |
| Torrent Added : | 1 Year+ in Other - Other |
| Torrent Size : | 1.45 GB |
[Tutorialsplanet NET] Udemy - Modern Deep Learning in Python
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Torrent File Content (155 files)
[Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python
1. Introduction and Outline
1. Outline - what did you learn previously, and what will you learn in this course.mp4 -
1. Introduction and Outline
1. Outline - what did you learn previously, and what will you learn in this course.mp4 -
14.43 MB
1. Outline - what did you learn previously, and what will you learn in this course.vtt -
9.77 KB
2. Where does this course fit into your deep learning studies.mp4 -
6 MB
2. Where does this course fit into your deep learning studies.vtt -
5.02 KB
10. Transition to the 2nd Half of the Course
1. Transition to the 2nd Half of the Course.mp4 -
1. Transition to the 2nd Half of the Course.mp4 -
9.45 MB
1. Transition to the 2nd Half of the Course.vtt -
5.83 KB
11. Project Facial Expression Recognition
1. Facial Expression Recognition Project Introduction.mp4 -
1. Facial Expression Recognition Project Introduction.mp4 -
9.82 MB
1. Facial Expression Recognition Project Introduction.vtt -
5.69 KB
2. Facial Expression Recognition Problem Description.mp4 -
21.44 MB
2. Facial Expression Recognition Problem Description.vtt -
14.31 KB
3. The class imbalance problem.mp4 -
10.11 MB
3. The class imbalance problem.vtt -
7.16 KB
4. Utilities walkthrough.mp4 -
13.49 MB
4. Utilities walkthrough.vtt -
5.24 KB
5. Class-Based ANN in Theano.mp4 -
43.98 MB
5. Class-Based ANN in Theano.vtt -
13.38 KB
6. Class-Based ANN in TensorFlow.mp4 -
37.39 MB
6. Class-Based ANN in TensorFlow.vtt -
11.54 KB
7. Facial Expression Recognition Project Summary.mp4 -
2.91 MB
7. Facial Expression Recognition Project Summary.vtt -
1.47 KB
12. Modern Regularization Techniques
1. Modern Regularization Techniques Section Introduction.mp4 -
1. Modern Regularization Techniques Section Introduction.mp4 -
4.27 MB
1. Modern Regularization Techniques Section Introduction.vtt -
2.67 KB
2. Dropout Regularization.mp4 -
22.7 MB
2. Dropout Regularization.vtt -
12.67 KB
3. Dropout Intuition.mp4 -
6.14 MB
3. Dropout Intuition.vtt -
4.02 KB
4. Noise Injection.mp4 -
8.64 MB
4. Noise Injection.vtt -
6.15 KB
5. Modern Regularization Techniques Section Summary.mp4 -
3.88 MB
5. Modern Regularization Techniques Section Summary.vtt -
2.36 KB
13. Batch Normalization
1. Batch Normalization Introduction.mp4 -
1. Batch Normalization Introduction.mp4 -
3.51 MB
1. Batch Normalization Introduction.vtt -
2.23 KB
2. Exponentially-Smoothed Averages.mp4 -
7.38 MB
2. Exponentially-Smoothed Averages.vtt -
4.8 KB
3. Batch Normalization Theory.mp4 -
18.61 MB
3. Batch Normalization Theory.vtt -
12.37 KB
4. Batch Normalization Tensorflow (part 1).mp4 -
9.44 MB
4. Batch Normalization Tensorflow (part 1).vtt -
5.92 KB
5. Batch Normalization Tensorflow (part 2).mp4 -
14.92 MB
5. Batch Normalization Tensorflow (part 2).vtt -
5.92 KB
6. Batch Normalization Theano (part 1).mp4 -
7.65 MB
6. Batch Normalization Theano (part 1).vtt -
4.82 KB
7. Batch Normalization Theano (part 2).mp4 -
16.54 MB
7. Batch Normalization Theano (part 2).vtt -
6.98 KB
8. Noise Perspective.mp4 -
3.15 MB
8. Noise Perspective.vtt -
2.22 KB
9. Batch Normalization Summary.mp4 -
2.6 MB
9. Batch Normalization Summary.vtt -
1.87 KB
14. Keras
1. Keras Discussion.mp4 -
1. Keras Discussion.mp4 -
11.25 MB
1. Keras Discussion.vtt -
8.05 KB
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