[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 -
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 -
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 -
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 -
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 -
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 -
11.25 MB

          1. Keras Discussion.vtt -
8.05 KB



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