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| [TGx]Downloaded from torrentgalaxy.to .txt |
585б |
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84.62Кб |
| 1 |
101.20Кб |
| 1. Course Starter - How to approach the course.mp4 |
18.59Мб |
| 1. Course Starter - How to approach the course.srt |
6.78Кб |
| 1. Objectives.mp4 |
2.01Мб |
| 1. Objectives.mp4 |
1.56Мб |
| 1. Objectives.mp4 |
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| 1. Objectives.mp4 |
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| 1. Objectives.mp4 |
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| 1. Objectives.mp4 |
1.04Мб |
| 1. Objectives.mp4 |
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| 1. Objectives.mp4 |
934.01Кб |
| 1. Objectives.mp4 |
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| 1. Objectives.srt |
853б |
| 1. Objectives.srt |
658б |
| 1. Objectives.srt |
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| 1. Objectives.srt |
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| 1. Objectives.srt |
673б |
| 1. Objectives.srt |
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| 1. Objectives.srt |
1.01Кб |
| 1. Objectives.srt |
905б |
| 1. Objectives.srt |
787б |
| 10 |
271.87Кб |
| 10.1 Dataset.zip |
90.53Мб |
| 10.1 Traffic_Sign_Detection_and_Training_using_SVM.zip |
26.71Мб |
| 10.2 Image_Classification_ResNet152V2.ipynb |
696.31Кб |
| 10. Code Download Instructions.mp4 |
2.37Мб |
| 10. Code Download Instructions.mp4 |
1.50Мб |
| 10. Code Download Instructions.srt |
1.19Кб |
| 10. Code Download Instructions.srt |
1.01Кб |
| 10. Code Walkthrough.mp4 |
74.53Мб |
| 10. Code Walkthrough.mp4 |
68.73Мб |
| 10. Code Walkthrough.srt |
11.42Кб |
| 10. Code Walkthrough.srt |
11.39Кб |
| 11 |
58.33Кб |
| 11.1 License_Number_Plate_ Detection_YOLOv3.zip |
227.40Мб |
| 11.1 object_tracking.zip |
235.64Мб |
| 11. Code Download Instructions.mp4 |
2.01Мб |
| 11. Code Download Instructions.mp4 |
1.95Мб |
| 11. Code Download Instructions.srt |
1.22Кб |
| 11. Code Download Instructions.srt |
958б |
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| 12. Objectives.mp4 |
984.90Кб |
| 12. Objectives.srt |
857б |
| 13 |
305.16Кб |
| 13. Project Overview.mp4 |
9.46Мб |
| 13. Project Overview.srt |
1.49Кб |
| 14 |
364.78Кб |
| 14. Code Walkthrough.mp4 |
82.73Мб |
| 14. Code Walkthrough.srt |
8.81Кб |
| 15 |
301.13Кб |
| 15.1 darknet53.conv.74.zip |
144.15Мб |
| 15.2 my_data.zip |
2.12Кб |
| 15.3 test.zip |
4.98Мб |
| 15.4 train.zip |
18.18Мб |
| 15.5 YOLOv3_training_for_License_Number_Plate.ipynb |
850.24Кб |
| 15. Code Download Instructions.mp4 |
2.02Мб |
| 15. Code Download Instructions.srt |
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| 2.1 Tools Setup Manual_Ubuntu.docx |
13.63Кб |
| 2. Artificial Intelligence Overview.mp4 |
6.34Мб |
| 2. Artificial Intelligence Overview.srt |
2.75Кб |
| 2. Image Classification Overview.mp4 |
8.17Мб |
| 2. Image Classification Overview.srt |
2.48Кб |
| 2. Object Detection Overview.mp4 |
5.62Мб |
| 2. Object Detection Overview.srt |
2.80Кб |
| 2. Object Tracking.mp4 |
35.66Мб |
| 2. Object Tracking.srt |
3.10Кб |
| 2. Project Overview.mp4 |
12.15Мб |
| 2. Project Overview.srt |
1.41Кб |
| 2. RetinaNet.mp4 |
5.72Мб |
| 2. RetinaNet.srt |
1.58Кб |
| 2. Tools Setup - Ubuntu.mp4 |
2.07Мб |
| 2. Tools Setup - Ubuntu.srt |
1.32Кб |
| 2. VGG-16 Model.mp4 |
10.35Мб |
| 2. VGG-16 Model.srt |
3.53Кб |
| 2. What is a Neuron.mp4 |
4.59Мб |
| 2. What is a Neuron.srt |
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| 3.1 Tools Setup Manual_Windows.docx |
16.30Кб |
| 3. Code Walkthrough.mp4 |
71.90Мб |
| 3. Code Walkthrough.srt |
11.27Кб |
| 3. Image Classification Pipeline.mp4 |
5.30Мб |
| 3. Image Classification Pipeline.srt |
2.83Кб |
| 3. Neuron Architecture.mp4 |
3.82Мб |
| 3. Neuron Architecture.srt |
1.70Кб |
| 3. Object Detection Architecture.mp4 |
6.80Мб |
| 3. Object Detection Architecture.srt |
1.82Кб |
| 3. ResNet50 Model.mp4 |
19.82Мб |
| 3. ResNet50 Model.srt |
4.53Кб |
| 3. Single Object Tracking and Multiple Object Tracking.mp4 |
6.81Мб |
| 3. Single Object Tracking and Multiple Object Tracking.srt |
2.63Кб |
| 3. SSD MODEL.mp4 |
11.13Мб |
| 3. SSD MODEL.srt |
3.03Кб |
| 3. Tools Setup - Windows.mp4 |
1.88Мб |
| 3. Tools Setup - Windows.srt |
1.09Кб |
| 3. What is Computer Vision .mp4 |
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| 3. What is Computer Vision .srt |
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| 4 |
241.90Кб |
| 4.1 Faster-RCNN.zip |
187.18Мб |
| 4. Artificial Neural Network.mp4 |
14.65Мб |
| 4. Artificial Neural Network.srt |
3.60Кб |
| 4. Code Download Instructions.mp4 |
2.91Мб |
| 4. Code Download Instructions.srt |
1.48Кб |
| 4. Image Basics.mp4 |
24.88Мб |
| 4. Image Basics.srt |
6.22Кб |
| 4. Inceptionv3 Model.mp4 |
12.64Мб |
| 4. Inceptionv3 Model.srt |
3.28Кб |
| 4. Meanshift Algorithm.mp4 |
7.67Мб |
| 4. Meanshift Algorithm.srt |
3.33Кб |
| 4. Object Detection vs Object Tracking.mp4 |
5.71Мб |
| 4. Object Detection vs Object Tracking.srt |
2.71Кб |
| 4. Support Vector Machine(SVM).mp4 |
9.32Мб |
| 4. Support Vector Machine(SVM).srt |
3.25Кб |
| 4. Using Pycharm for Coding.mp4 |
29.70Мб |
| 4. Using Pycharm for Coding.srt |
7.64Кб |
| 4. YOLO V3 Model.mp4 |
27.14Мб |
| 4. YOLO V3 Model.srt |
6.25Кб |
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248.64Кб |
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28.80Кб |
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32.08Кб |
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165.77Кб |
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| 5 |
325.23Кб |
| 5. Convolutional Neural Network.mp4 |
19.89Мб |
| 5. Convolutional Neural Network.srt |
7.23Кб |
| 5. Decision Tree.mp4 |
11.72Мб |
| 5. Decision Tree.srt |
4.94Кб |
| 5. EfficientNet Model.mp4 |
8.78Мб |
| 5. EfficientNet Model.srt |
2.47Кб |
| 5. R-CNN MODEL.mp4 |
12.70Мб |
| 5. R-CNN MODEL.srt |
2.72Кб |
| 5. SORT Framework.mp4 |
5.31Мб |
| 5. SORT Framework.srt |
3.05Кб |
| 5. Using Jupyter Notebook and Shortcuts.mp4 |
8.27Мб |
| 5. Using Jupyter Notebook and Shortcuts.srt |
1.97Кб |
| 5. YOLO V3 TINY MODEL.mp4 |
6.47Мб |
| 5. YOLO V3 TINY MODEL.srt |
2.11Кб |
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| 58 |
181.39Кб |
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| 6 |
476.25Кб |
| 6. Activation Function.mp4 |
4.63Мб |
| 6. Activation Function.srt |
3.15Кб |
| 6. DeepSort Framework.mp4 |
10.32Мб |
| 6. DeepSort Framework.srt |
4.79Кб |
| 6. FAST R-CNN MODEL.mp4 |
9.54Мб |
| 6. FAST R-CNN MODEL.srt |
1.98Кб |
| 6. K Nearest Neighbor(KNN).mp4 |
6.97Мб |
| 6. K Nearest Neighbor(KNN).srt |
3.46Кб |
| 6. Quiz on Image Classification.html |
185б |
| 6. Using Google Colab.mp4 |
38.44Мб |
| 6. Using Google Colab.srt |
12.42Кб |
| 6. YOLOV4 Model.mp4 |
22.40Мб |
| 6. YOLOV4 Model.srt |
4.63Кб |
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| 7. Objectives.mp4 |
1.05Мб |
| 7. Objectives.mp4 |
1.04Мб |
| 7. Objectives.srt |
948б |
| 7. Objectives.srt |
948б |
| 7. Quiz on Object Detection Concepts.html |
185б |
| 7. Quiz on Object Tracking.html |
185б |
| 7. Region Proposal Network (RPN).mp4 |
11.57Мб |
| 7. Region Proposal Network (RPN).srt |
3.89Кб |
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| 8. FASTER R-CNN MODEL.mp4 |
14.13Мб |
| 8. FASTER R-CNN MODEL.srt |
2.81Кб |
| 8. Objectives.mp4 |
1.08Мб |
| 8. Objectives.mp4 |
955.91Кб |
| 8. Objectives.srt |
1.00Кб |
| 8. Objectives.srt |
930б |
| 8. Project Overview.mp4 |
9.49Мб |
| 8. Project Overview.mp4 |
7.76Мб |
| 8. Project Overview.srt |
1.74Кб |
| 8. Project Overview.srt |
1.59Кб |
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| 9 |
103.33Кб |
| 9. Code Walkthrough.mp4 |
101.26Мб |
| 9. Code Walkthrough.mp4 |
98.68Мб |
| 9. Code Walkthrough.srt |
16.25Кб |
| 9. Code Walkthrough.srt |
14.33Кб |
| 9. Project Overview.mp4 |
10.11Мб |
| 9. Project Overview.mp4 |
9.45Мб |
| 9. Project Overview.srt |
1.76Кб |
| 9. Project Overview.srt |
1.57Кб |
| 9. R-FCN MODEL.mp4 |
5.42Мб |
| 9. R-FCN MODEL.srt |
2.17Кб |
| TutsNode.com.txt |
63б |