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[ DevCourseWeb com ] Udemy - Object Detection on Custom Dataset With Keras Using Python
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1. Fundamentals
1. Introduction.mp4
2. Artificial Intelligence.mp4
3. Machine Learning.mp4
3.1 Association Rule Unsupervised Machine Learning in Python.html
3.2 Classification Models Supervised Machine Learning in Python.html
3.3 Cluster Analysis Unsupervised Machine Learning in Python.html
3.4 Regression Analysis Supervised Machine Learning in Python.html
4. Deep Learning.mp4
5. Object Detection.mp4
5.1 Deep Learning for Image Classification in Python with CNN.html
6. How object detection is done.mp4
7. Vision Transformer Architecture.mp4
2. Building, Evaluating and Predicting Object Detection Model
1. Download Dataset.mp4
10. Check the Number of Images in the Dataset.mp4
11. Preparing the Dataset.mp4
12. Visualizing a Sample Image in the Dataset.mp4
13. Building Multilayer-Perceptron (MLP) Network.mp4
14. Building the Patch Creation Layer.mp4
15. Displaying Patches for an Input Image.mp4
16. Building the Patch Encoding Layer.mp4
17. Building Vision Transformer.mp4
18. Compiling and Displaying Model.mp4
19. Training the Model.mp4
2. What is inside leopards_images folder.mp4
20. Evaluating Intersection over Union Jaccard Index.mp4
3. What is inside leopards_annotation folder.mp4
4. What is the .h5 file.mp4
5. Object Detection Python Code.mp4
6. Enabling GPU in Google Colab.mp4
7. Is GPU connected to Colab notebook.mp4
8. Connect Google Colab with Google Drive.mp4
9. Download TensorFlow Addons.mp4
detect_leopard.ipynb
leopard_detector.h5
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leopards_images
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