GetFreeCourses Co Udemy Modern Computer Vision PyTorch Tensorflow2 Keras OpenCV4 |
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Name |
GetFreeCourses.Co-Udemy-Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4 |
DOWNLOAD Copy Link |
Total Size |
13.7 GB |
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Total Files |
465 |
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Last Seen |
2024-09-06 01:51 |
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Hash |
6D519DF9B704F77960797672AAC6B0B2FABBA33A |
/1. Introduction/ |
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/10. OpenCV - Working With Video/ |
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1. Using Your Webcam and Creating a Live Sketch of Yourself.mp4 |
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1. Using Your Webcam and Creating a Live Sketch of Yourself.srt |
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/11. Deep Learning in Computer Vision Introduction/ |
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/12. Building CNNs in PyTorch/ |
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/13. Building CNNs in TensorFlow with Keras/ |
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/14. Assessing Model Performance/ |
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/15. Improving Models and Advanced CNN Design/ |
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10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 |
100.7 MB |
10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt |
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11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4 |
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11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.srt |
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12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 |
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12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt |
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9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4 |
86.7 MB |
9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.srt |
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/16. Visualizing What CNN's Learn/ |
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/17. Advamced Convolutional Neural Networks/ |
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1. History and Evolution of Convolutional Neural Networks.mp4 |
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1. History and Evolution of Convolutional Neural Networks.srt |
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/18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/ |
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146.1 MB |
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2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 |
161.2 MB |
2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt |
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3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 |
116.8 MB |
3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt |
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/19. Using Callbacks in Keras and PyTorch/ |
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/2. Download Code and Setup Colab/ |
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/20. PyTorch Lightning/ |
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3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4 |
111.7 MB |
3. Auto Batch and Learning Rate Selection plus Tensorboards.srt |
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/21. Transfer Learning and Fine Tuning/ |
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6. PyTorch Transfer Learning and Freezing Network Layers.mp4 |
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6. PyTorch Transfer Learning and Freezing Network Layers.srt |
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/22. Google DeepStream and Neural Style Transfer/ |
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/23. Autoencoders/ |
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/24. Generative Adversarial Networks (GANs)/ |
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/25. Siamese Network/ |
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/26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/ |
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33.6 MB |
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5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 |
138.8 MB |
5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt |
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/27. Object Detection/ |
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68.4 MB |
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/28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/ |
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/29. Gun Detector - Scaled-YoloV4/ |
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134.7 MB |
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/3. OpenCV - Image Operations/ |
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99.3 MB |
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/30. Mask Detector TFODAPI MobileNetV2_SSD/ |
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85.1 MB |
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/31. Sign Language Detector TFODAPI EfficentDet/ |
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89.3 MB |
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/32. Pothole Detector - TinyYOLOv4/ |
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62.4 MB |
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/33. Mushroom Detector Detectron2/ |
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68.1 MB |
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/34. Website Region Detector YOLOv4 Darknet/ |
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52.0 MB |
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/35. Drone Maritime Detector R-CNN/ |
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59.6 MB |
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/36. Chess Piece YOLOv3/ |
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44.7 MB |
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/37. Bloodcell Detector YOLOv5/ |
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61.4 MB |
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/38. Hard Hat Detector EfficentDet/ |
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32.1 MB |
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/39. Plant Doctor Detector YOLOv5/ |
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74.6 MB |
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/4. OpenCV - Image Segmentation/ |
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122.8 MB |
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2. Moments, Sorting, Approximating and Matching Contours.mp4 |
146.6 MB |
2. Moments, Sorting, Approximating and Matching Contours.srt |
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4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4 |
71.8 MB |
4. Counting Circles, Ellipses and Finding Waldo with Template Matching.srt |
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/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/ |
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82.0 MB |
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/41. Body Pose Estimation/ |
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48.5 MB |
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/42. Tracking with DeepSORT/ |
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62.4 MB |
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/43. Deep Fakes/ |
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61.5 MB |
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/44. Vision Transformers - ViTs/ |
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28.0 MB |
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79.9 MB |
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/45. BiT BigTransfer Classifier Keras/ |
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61.5 MB |
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/46. Depth Estimation/ |
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80.5 MB |
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/47. Image Similarity using Metric Learning/ |
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58.7 MB |
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/48. Image Captioning with Keras/ |
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100.8 MB |
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14.4 KB |
/49. Video Classification usign CNN+RNN/ |
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59.5 MB |
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/5. OpenCV - Haar Cascade Classifiers/ |
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115.6 MB |
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90.3 MB |
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/50. Video Classification with Transformers/ |
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51.6 MB |
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/51. Point Cloud Classification PointNet/ |
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62.4 MB |
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/52. Point Cloud Segmentation Using PointNet/ |
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96.5 MB |
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/53. Medical Project - X-Ray Pneumonia Prediction/ |
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64.4 MB |
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8.4 KB |
/54. Medical Project - 3D CT Scan Classification/ |
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63.2 MB |
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/55. Low Light Image Enhancement MIRNet/ |
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96.0 MB |
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10.9 KB |
/56. Deploy your CV App using Flask RestFUL API & Web App/ |
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57.6 MB |
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39.1 MB |
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/57. OCR Captcha Cracker/ |
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48.6 MB |
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/6. OpenCV - Image Analysis and Transformation/ |
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67.6 MB |
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2. Histograms and K-Means Clustering for Dominant Colors.mp4 |
83.8 MB |
2. Histograms and K-Means Clustering for Dominant Colors.srt |
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/7. OpenCV - Motion and Object Tracking/ |
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74.5 MB |
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99.8 MB |
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/8. OpenCV - Facial Landmark Detection & Face Swaps/ |
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39.4 MB |
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51.8 MB |
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/9. OpenCV Projects/ |
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61.9 MB |
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10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4 |
93.3 MB |
10. Add and Remove Noise and Fix Contrast with Histogram Equalization.srt |
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125.3 MB |
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8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4 |
84.9 MB |
8. Colorize Black and White Photos using a Caffe Model in OpenCV.srt |
11.8 KB |
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