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| 1. Download Dataset.mp4 |
5.76Мб |
| 1. Introduction.mp4 |
14.45Мб |
| 10. Check the Number of Images in the Dataset.mp4 |
18.63Мб |
| 11. Preparing the Dataset.mp4 |
26.41Мб |
| 12. Visualizing a Sample Image in the Dataset.mp4 |
6.81Мб |
| 13. Building Multilayer-Perceptron (MLP) Network.mp4 |
1.36Мб |
| 14. Building the Patch Creation Layer.mp4 |
1.66Мб |
| 15. Displaying Patches for an Input Image.mp4 |
4.01Мб |
| 16. Building the Patch Encoding Layer.mp4 |
2.89Мб |
| 17. Building Vision Transformer.mp4 |
5.54Мб |
| 18. Compiling and Displaying Model.mp4 |
30.31Мб |
| 19. Training the Model.mp4 |
18.30Мб |
| 2. Artificial Intelligence.mp4 |
8.21Мб |
| 2. What is inside leopards_images folder.mp4 |
2.84Мб |
| 20. Evaluating Intersection over Union Jaccard Index.mp4 |
41.47Мб |
| 3.1 Association Rule Unsupervised Machine Learning in Python.html |
136б |
| 3.2 Classification Models Supervised Machine Learning in Python.html |
143б |
| 3.3 Cluster Analysis Unsupervised Machine Learning in Python.html |
140б |
| 3.4 Regression Analysis Supervised Machine Learning in Python.html |
143б |
| 3. Machine Learning.mp4 |
3.55Мб |
| 3. What is inside leopards_annotation folder.mp4 |
7.20Мб |
| 4. Deep Learning.mp4 |
9.31Мб |
| 4. What is the .h5 file.mp4 |
2.00Мб |
| 5.1 Deep Learning for Image Classification in Python with CNN.html |
142б |
| 5. Object Detection.mp4 |
15.37Мб |
| 5. Object Detection Python Code.mp4 |
2.54Мб |
| 6. Enabling GPU in Google Colab.mp4 |
3.03Мб |
| 6. How object detection is done.mp4 |
9.86Мб |
| 7. Is GPU connected to Colab notebook.mp4 |
6.93Мб |
| 7. Vision Transformer Architecture.mp4 |
15.93Мб |
| 8. Connect Google Colab with Google Drive.mp4 |
4.64Мб |
| 9. Download TensorFlow Addons.mp4 |
2.67Мб |
| annotation_0001.mat |
861б |
| annotation_0002.mat |
933б |
| annotation_0003.mat |
975б |
| annotation_0004.mat |
1.38Кб |
| annotation_0005.mat |
1.28Кб |
| annotation_0006.mat |
962б |
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970б |
| annotation_0008.mat |
806б |
| annotation_0009.mat |
933б |
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811б |
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1.04Кб |
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904б |
| annotation_0013.mat |
1.29Кб |
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1.16Кб |
| annotation_0015.mat |
887б |
| annotation_0016.mat |
558б |
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690б |
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778б |
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876б |
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667б |
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608б |
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587б |
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782б |
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832б |
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570б |
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610б |
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700б |
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677б |
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700б |
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745б |
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801б |
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699б |
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661б |
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633б |
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902б |
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696б |
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907б |
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766б |
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685б |
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706б |
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683б |
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1.03Кб |
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636б |
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600б |
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635б |
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564б |
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688б |
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659б |
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994б |
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662б |
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620б |
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1.04Кб |
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758б |
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565б |
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793б |
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1.02Кб |
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705б |
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499б |
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838б |
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616б |
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570б |
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702б |
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637б |
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461б |
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748б |
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554б |
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675б |
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755б |
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566б |
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876б |
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886б |
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591б |
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690б |
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581б |
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640б |
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| annotation_0198.mat |
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| annotation_0199.mat |
984б |
| annotation_0200.mat |
776б |
| Bonus Resources.txt |
386б |
| detect_leopard.ipynb |
659.72Кб |
| Get Bonus Downloads Here.url |
182б |
| image_0001.jpg |
5.83Кб |
| image_0002.jpg |
6.47Кб |
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| leopard_detector.h5 |
110.38Мб |