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Download [Tutorialsplanet.NET] Udemy - Learn 3D Image Classification with Python and Keras

Tutorialsplanet NET Udemy Learn 3D Image Classification with Python and Keras

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[Tutorialsplanet.NET] Udemy - Learn 3D Image Classification with Python and Keras

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Total Size

2.5 GB

Total Files

41

Last Seen

2024-07-08 23:49

Hash

8A0CB8666A5D440AA88E48DBC8F14ACA5B13DFB0

/0. Websites you may like/

[Tutorialsplanet.NET].url

0.1 KB

/1. Fundamentals/

1. Introduction.mp4

16.0 MB

2. What is Computer Vision.mp4

5.5 MB

3. What is 3D Image Classification .mp4

19.4 MB

4. Our Project.mp4

14.4 MB

5. How 3D Image Classification is done.mp4

8.0 MB

6. Why Python and Keras.mp4

6.3 MB

7. Why Google Colab.mp4

3.8 MB

[Tutorialsplanet.NET].url

0.1 KB

/2. Model Building and Prediction/

1. Create a “3d_classification” folder.mp4

1.9 MB

10. Specify Directory.mp4

3.5 MB

11. Check the number of CT scans.mp4

9.8 MB

12. Visualize a Sample CT Scan.mp4

16.9 MB

13. Preprocessing.mp4

17.4 MB

14. Create Labels for the CT Scans.mp4

5.0 MB

15. Splitting Data.mp4

13.3 MB

16. Data Pre-Processing and Augmentation.mp4

21.6 MB

17. Visualizing an Augmented CT Scan.mp4

10.2 MB

18. Model Building.mp4

34.1 MB

19. Visual Representation of 3D CNN.mp4

4.1 MB

2. Upload Dataset.mp4

6.6 MB

2.1 no_viral_pneumonia_part1.zip

543.1 MB

2.2 no_viral_pneumonia_part2.zip

522.1 MB

2.3 with_viral_pneumonia_part1.zip

518.3 MB

2.4 with_viral_pneumonia_part2.zip

526.6 MB

20. Model Compilation.mp4

9.6 MB

21. Callbacks.mp4

7.5 MB

22. Training.mp4

20.1 MB

23. Loading Pre-Trained Weights.mp4

3.2 MB

24. Prediction.mp4

28.2 MB

3. Python Code.mp4

3.8 MB

3.1 code.ipynb

525.7 KB

4. Pre-Trained Model.mp4

4.9 MB

4.1 ct_weights.h5

16.3 MB

5. Prediction Folder.mp4

3.0 MB

5.1 prediction.zip

21.1 MB

6. Enabling GPU in Google Colab.mp4

6.7 MB

7. Is GPU connected to Colab notebook.mp4

5.1 MB

8. Connect Google Colab with Google Drive.mp4

4.5 MB

9. Import Libraries.mp4

7.6 MB

/

[Tutorialsplanet.NET].url

0.1 KB

 

Total files 41


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