Object Detection on Custom Dataset With Keras Using Python --> [ DevCourseWeb ]


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Torrent File Content (436 files)


[ DevCourseWeb.com ] Udemy - Object Detection on Custom Dataset With Keras Using Python
     Get Bonus Downloads Here.url -
182 bytes

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          1. Fundamentals/1. Introduction.mp4 -
14.45 MB

          1. Fundamentals/2. Artificial Intelligence.mp4 -
8.21 MB

          1. Fundamentals/3. Machine Learning.mp4 -
3.55 MB

          1. Fundamentals/3.1 Association Rule Unsupervised Machine Learning in Python.html -
136 bytes

          1. Fundamentals/3.2 Classification Models Supervised Machine Learning in Python.html -
143 bytes

          1. Fundamentals/3.3 Cluster Analysis Unsupervised Machine Learning in Python.html -
140 bytes

          1. Fundamentals/3.4 Regression Analysis Supervised Machine Learning in Python.html -
143 bytes

          1. Fundamentals/4. Deep Learning.mp4 -
9.31 MB

          1. Fundamentals/5. Object Detection.mp4 -
15.37 MB

          1. Fundamentals/5.1 Deep Learning for Image Classification in Python with CNN.html -
142 bytes

          1. Fundamentals/6. How object detection is done.mp4 -
9.86 MB

          1. Fundamentals/7. Vision Transformer Architecture.mp4 -
15.93 MB

          2. Building, Evaluating and Predicting Object Detection Model/1. Download Dataset.mp4 -
5.76 MB

          2. Building, Evaluating and Predicting Object Detection Model/10. Check the Number of Images in the Dataset.mp4 -
18.63 MB

          2. Building, Evaluating and Predicting Object Detection Model/11. Preparing the Dataset.mp4 -
26.41 MB

          2. Building, Evaluating and Predicting Object Detection Model/12. Visualizing a Sample Image in the Dataset.mp4 -
6.81 MB

          2. Building, Evaluating and Predicting Object Detection Model/13. Building Multilayer-Perceptron (MLP) Network.mp4 -
1.36 MB

          2. Building, Evaluating and Predicting Object Detection Model/14. Building the Patch Creation Layer.mp4 -
1.66 MB

          2. Building, Evaluating and Predicting Object Detection Model/15. Displaying Patches for an Input Image.mp4 -
4.01 MB

          2. Building, Evaluating and Predicting Object Detection Model/16. Building the Patch Encoding Layer.mp4 -
2.89 MB

          2. Building, Evaluating and Predicting Object Detection Model/17. Building Vision Transformer.mp4 -
5.54 MB

          2. Building, Evaluating and Predicting Object Detection Model/18. Compiling and Displaying Model.mp4 -
30.31 MB

          2. Building, Evaluating and Predicting Object Detection Model/19. Training the Model.mp4 -
18.3 MB

          2. Building, Evaluating and Predicting Object Detection Model/2. What is inside leopards_images folder.mp4 -
2.84 MB

          2. Building, Evaluating and Predicting Object Detection Model/20. Evaluating Intersection over Union Jaccard Index.mp4 -
41.47 MB

          2. Building, Evaluating and Predicting Object Detection Model/3. What is inside leopards_annotation folder.mp4 -
7.2 MB

          2. Building, Evaluating and Predicting Object Detection Model/4. What is the .h5 file.mp4 -
2 MB

          2. Building, Evaluating and Predicting Object Detection Model/5. Object Detection Python Code.mp4 -
2.54 MB

          2. Building, Evaluating and Predicting Object Detection Model/6. Enabling GPU in Google Colab.mp4 -
3.03 MB

          2. Building, Evaluating and Predicting Object Detection Model/7. Is GPU connected to Colab notebook.mp4 -
6.93 MB

          2. Building, Evaluating and Predicting Object Detection Model/8. Connect Google Colab with Google Drive.mp4 -
4.64 MB

          2. Building, Evaluating and Predicting Object Detection Model/9. Download TensorFlow Addons.mp4 -
2.67 MB

          2. Building, Evaluating and Predicting Object Detection Model/detect_leopard.ipynb -
659.72 KB

          2. Building, Evaluating and Predicting Object Detection Model/leopard_detector.h5 -
110.38 MB

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0001.mat -
861 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0002.mat -
933 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0003.mat -
975 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0004.mat -
1.38 KB

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0005.mat -
1.28 KB

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0006.mat -
962 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0007.mat -
970 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0008.mat -
806 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0009.mat -
933 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0010.mat -
811 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0011.mat -
1.04 KB

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0012.mat -
904 bytes

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0013.mat -
1.29 KB

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0014.mat -
1.16 KB

          2. Building, Evaluating and Predicting Object Detection Model/leopards_annotation/annotation_0015.mat -
887 bytes

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