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GetFreeCourses.Co-Udemy-Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
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16. Visualizing What CNN's Learn
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6. Filter and Class Maximization.mp4 - 156.06 MB
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3. Keras Filter Visualization and Activations.mp4 - 107.23 MB
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8. Grad-CAM Plus.mp4 - 80.37 MB
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2. Visualising Filter Activations.mp4 - 35.54 MB
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5. Class Maximization.mp4 - 30.13 MB
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4. Maximizing Filters.mp4 - 23.06 MB
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1. Visualizing CNN Filters or Feature Maps.mp4 - 20.47 MB
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7. Grad-CAM Visualize What Influences Your Model.mp4 - 14.91 MB
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6. Filter and Class Maximization.srt - 24.83 KB
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3. Keras Filter Visualization and Activations.srt - 22.03 KB
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8. Grad-CAM Plus.srt - 13.06 KB
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2. Visualising Filter Activations.srt - 11.56 KB
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1. Visualizing CNN Filters or Feature Maps.srt - 8.44 KB
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5. Class Maximization.srt - 7.61 KB
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4. Maximizing Filters.srt - 6.63 KB
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7. Grad-CAM Visualize What Influences Your Model.srt - 4.47 KB
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18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy
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2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 - 153.77 MB
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1. Implementing LeNet and AlexNet in Keras.mp4 - 139.34 MB
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3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 - 111.38 MB
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5. Getting the Rank-N Accuracy in PyTorch.mp4 - 97.92 MB
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6. Getting the Rank-N Accuracy in Keras.mp4 - 55.85 MB
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4. The Top-N or Rank-N Accuracy Metric.mp4 - 12.42 MB
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2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt - 28.9 KB
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1. Implementing LeNet and AlexNet in Keras.srt - 23.21 KB
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3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt - 19.51 KB
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5. Getting the Rank-N Accuracy in PyTorch.srt - 16.38 KB
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6. Getting the Rank-N Accuracy in Keras.srt - 9.75 KB
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4. The Top-N or Rank-N Accuracy Metric.srt - 4.56 KB
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2. Download Code and Setup Colab
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1.1 Code - Modern Computer Vision_05_06_2022.zip - 150.98 MB
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1.2 ebook slides - Modern Computer Vision.pdf - 121.57 MB
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2. Setup - Download Code and Configure Colab.mp4 - 22.57 MB
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2. Setup - Download Code and Configure Colab.srt - 4.19 KB
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1. Download Course Resources.html - 804 B
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9. OpenCV Projects
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6. Neural Style Transfer with OpenCV.mp4 - 143.03 MB
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3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 - 119.5 MB
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10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4 - 88.97 MB
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12. Facial Recognition.mp4 - 84.31 MB
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8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4 - 80.98 MB
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5. YOLOv3 in OpenCV.mp4 - 79.52 MB
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4. Barcode, QR Generation and Reading.mp4 - 68.68 MB
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1. Tilt Shift Effects.mp4 - 59.03 MB
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7. SSDs in OpenCV.mp4 - 51.82 MB
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2. GrabCut Algorithm for Background Removal.mp4 - 45.65 MB
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11. Detect Blur in Images.mp4 - 39.57 MB
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9. Inpainting to Restore Damaged Photos.mp4 - 28.48 MB
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3. OCR with PyTesseract and EasyOCR (Text Detection).srt - 18.89 KB
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6. Neural Style Transfer with OpenCV.srt - 16.82 KB
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12. Facial Recognition.srt - 14.45 KB
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10. Add and Remove Noise and Fix Contrast with Histogram Equalization.srt - 13.78 KB
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4. Barcode, QR Generation and Reading.srt - 13.13 KB
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5. YOLOv3 in OpenCV.srt - 12.48 KB
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8. Colorize Black and White Photos using a Caffe Model in OpenCV.srt - 11.5 KB
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2. GrabCut Algorithm for Background Removal.srt - 9.22 KB
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1. Tilt Shift Effects.srt - 8.7 KB
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11. Detect Blur in Images.srt - 7.51 KB
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7. SSDs in OpenCV.srt - 6.6 KB
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9. Inpainting to Restore Damaged Photos.srt - 5.75 KB
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22. Google DeepStream and Neural Style Transfer
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5. Neural Style Transfer in Keras.mp4 - 141.08 MB
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2. Google DeepDream in Keras.mp4 - 72.85 MB
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3. Google DeepDream in PyTorch.mp4 - 58.32 MB
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6. Neural Style Transfer in PyTorch.mp4 - 57.9 MB
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4. Introduction to Neural Style Transfer.mp4 - 49.97 MB
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1. Introduction to Google DeepDream Visualizations.mp4 - 39.87 MB
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5. Neural Style Transfer in Keras.srt - 22.3 KB
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4. Introduction to Neural Style Transfer.srt - 14.54 KB
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2. Google DeepDream in Keras.srt - 10.55 KB
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6. Neural Style Transfer in PyTorch.srt - 7.57 KB
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1. Introduction to Google DeepDream Visualizations.srt - 7.33 KB
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3. Google DeepDream in PyTorch.srt - 6.32 KB
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4. OpenCV - Image Segmentation
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2. Moments, Sorting, Approximating and Matching Contours.mp4 - 139.77 MB
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1. Contours - Drawing, Hierarchy and Modes.mp4 - 117.12 MB
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4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4 - 68.51 MB
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3. Line, Circle and Blob Detection.mp4 - 56.57 MB
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5. Finding Corners.mp4 - 36.53 MB
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2. Moments, Sorting, Approximating and Matching Contours.srt - 24.83 KB
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1. Contours - Drawing, Hierarchy and Modes.srt - 20.42 KB
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4. Counting Circles, Ellipses and Finding Waldo with Template Matching.srt - 9.27 KB
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3. Line, Circle and Blob Detection.srt - 8.94 KB
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5. Finding Corners.srt - 6.54 KB
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26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning
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5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 - 132.36 MB
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3. Face Recognition Keras One Shot Learning and Friends.mp4 - 80.6 MB
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2. Facial Similarity Keras VGGFace.mp4 - 56.62 MB
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4. Face Recognition PyTorch FaceNet.mp4 - 51.29 MB
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1. Face Recognition Overview.mp4 - 32.03 MB
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5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt - 20.04 KB
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3. Face Recognition Keras One Shot Learning and Friends.srt - 11.06 KB
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1. Face Recognition Overview.srt - 10.51 KB
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2. Facial Similarity Keras VGGFace.srt - 9.19 KB
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4. Face Recognition PyTorch FaceNet.srt - 7.92 KB
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21. Transfer Learning and Fine Tuning
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4. Keras Feature Extraction.mp4 - 131.81 MB
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5. PyTorch Fine Tuning.mp4 - 121.59 MB
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7. PyTorch Feature Extraction.mp4 - 103.4 MB
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3. Transfer Learning and Fine Tuning with Keras.mp4 - 96 MB
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2. Transfer Learning in PyTorch Lightning.mp4 - 55.89 MB
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1. Transfer Learning Introduction.mp4 - 31.89 MB
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6. PyTorch Transfer Learning and Freezing Network Layers.mp4 - 28.81 MB
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5. PyTorch Fine Tuning.srt - 21.73 KB
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4. Keras Feature Extraction.srt - 19.46 KB
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3. Transfer Learning and Fine Tuning with Keras.srt - 17.16 KB
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7. PyTorch Feature Extraction.srt - 15.87 KB
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1. Transfer Learning Introduction.srt - 12.67 KB
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2. Transfer Learning in PyTorch Lightning.srt - 9.69 KB
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6. PyTorch Transfer Learning and Freezing Network Layers.srt - 5.23 KB
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GetFreeCourses.Co.url - 116 B
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29. Gun Detector - Scaled-YoloV4
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1. Gun Detector - Scaled-YoloV4.mp4 - 128.47 MB
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1. Gun Detector - Scaled-YoloV4.srt - 17.73 KB
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3. OpenCV - Image Operations
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9. Thresholding, Binarization & Adaptive Thresholding.mp4 - 117.18 MB
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6. Scaling, Re-sizing, Interpolations and Cropping.mp4 - 114.94 MB
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1. Getting Started with OpenCV4.mp4 - 94.74 MB
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10. Dilation, Erosion and Edge Detection.mp4 - 79.96 MB
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3. Colour Spaces - RGB and HSV.mp4 - 68.3 MB
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5. Transformations - Translations and Rotations.mp4 - 67.22 MB
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7. Arithmetic and Bitwise Operations.mp4 - 66.14 MB
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8. Convolutions, Blurring and Sharpening Images.mp4 - 58.96 MB
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2. Grayscaling Images.mp4 - 52.52 MB
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4. Drawing on Images.mp4 - 52.03 MB
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1. Getting Started with OpenCV4.srt - 23.03 KB
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6. Scaling, Re-sizing, Interpolations and Cropping.srt - 18.99 KB
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9. Thresholding, Binarization & Adaptive Thresholding.srt - 18.71 KB
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7. Arithmetic and Bitwise Operations.srt - 14.51 KB
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4. Drawing on Images.srt - 14.45 KB
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10. Dilation, Erosion and Edge Detection.srt - 14.42 KB
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5. Transformations - Translations and Rotations.srt - 13.97 KB
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3. Colour Spaces - RGB and HSV.srt - 12.22 KB
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2. Grayscaling Images.srt - 9.42 KB
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8. Convolutions, Blurring and Sharpening Images.srt - 9.05 KB
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19. Using Callbacks in Keras and PyTorch
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2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 - 114.98 MB
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3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 - 114.72 MB
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1. What are Callbacks.mp4 - 16.18 MB
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2. Cats vs Dogs Classifier using Callbacks in PyTorch.srt - 22.81 KB
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3. Cats vs Dogs Classifier using Callbacks in Keras.srt - 22.26 KB
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1. What are Callbacks.srt - 7.01 KB
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5. OpenCV - Haar Cascade Classifiers
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1. Face and Eye Detection with Haar Cascade Classifiers.mp4 - 110.22 MB
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2. Vehicle and Pedestrian Detection.mp4 - 86.09 MB
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1. Face and Eye Detection with Haar Cascade Classifiers.srt - 17.79 KB
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2. Vehicle and Pedestrian Detection.srt - 14.66 KB
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24. Generative Adversarial Networks (GANs)
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4. Use Cases for GANs.mp4 - 108.13 MB
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7. Super Resolution GAN.mp4 - 102.24 MB
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5. Keras DCGAN with MNIST.mp4 - 100.92 MB
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6. PyTorch GANs.mp4 - 65.41 MB
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3. Training GANs.mp4 - 49.27 MB
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1. Introduction to GANs.mp4 - 43.57 MB
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8. AnimeGAN.mp4 - 34.77 MB
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9. ArcaneGAN.mp4 - 31.55 MB
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1.1 Slides - Generative Adverserial Networks.pdf - 28.91 MB
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2. How Do GANs Work.mp4 - 26.55 MB
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5. Keras DCGAN with MNIST.srt - 16.41 KB
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7. Super Resolution GAN.srt - 13.59 KB
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4. Use Cases for GANs.srt - 13.39 KB
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6. PyTorch GANs.srt - 11.38 KB
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3. Training GANs.srt - 10.96 KB
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2. How Do GANs Work.srt - 7.25 KB
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1. Introduction to GANs.srt - 6.55 KB
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8. AnimeGAN.srt - 5.41 KB
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9. ArcaneGAN.srt - 3.67 KB
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15. Improving Models and Advanced CNN Design
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12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 - 108.05 MB
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10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 - 96.01 MB
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9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4 - 82.69 MB
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11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4 - 64.16 MB
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1. What is Overfitting and Generalisation.mp4 - 44.04 MB
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5. Data Augmentation.mp4 - 31.9 MB
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7. Batch Normalization.mp4 - 23.84 MB
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4. L1 and L2 Regularization.mp4 - 15.62 MB
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3. Drop Out.mp4 - 13.06 MB
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6. Early Stopping.mp4 - 12.98 MB
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8. When Do We Use Regularization.mp4 - 11.57 MB
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2. Introduction to Regularization.mp4 - 8.02 MB
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12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt - 17.98 KB
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10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt - 17.26 KB
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9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.srt - 14.28 KB
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1. What is Overfitting and Generalisation.srt - 13.03 KB
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11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.srt - 10.58 KB
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7. Batch Normalization.srt - 6.69 KB
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5. Data Augmentation.srt - 6.55 KB
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4. L1 and L2 Regularization.srt - 5.73 KB
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6. Early Stopping.srt - 5.11 KB
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3. Drop Out.srt - 4.82 KB
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8. When Do We Use Regularization.srt - 3.5 KB
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2. Introduction to Regularization.srt - 2.82 KB
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20. PyTorch Lightning
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3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4 - 106.56 MB
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4. PyTorch Lightning Calls, Saving, Inference.mp4 - 71.64 MB
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5. Training on Multiple GPU, Profiling and TPUs.mp4 - 64.15 MB
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2. Lightning Setup and Class.mp4 - 62.15 MB
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1. Introduction to PyTorch Lightning.mp4 - 38.24 MB
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3. Auto Batch and Learning Rate Selection plus Tensorboards.srt - 17.08 KB
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4. PyTorch Lightning Calls, Saving, Inference.srt - 12.96 KB
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1. Introduction to PyTorch Lightning.srt - 12.06 KB
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5. Training on Multiple GPU, Profiling and TPUs.srt - 9.94 KB
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2. Lightning Setup and Class.srt - 9.53 KB
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12. Building CNNs in PyTorch
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5. Building our Model.mp4 - 102.34 MB
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7. Training Your Model.mp4 - 96.07 MB
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3. Inspect and Visualise Data.mp4 - 70.58 MB
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8. Saving Model and Displaying Results.mp4 - 49.27 MB
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1. Importing Required Libraries.mp4 - 47.72 MB
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4. Data Loaders.mp4 - 29.9 MB
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2. Transformation Pipeline.mp4 - 29.55 MB
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9. Plot and Visualize Your Results.mp4 - 25.81 MB
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6. Optimisers and Loss Function.mp4 - 14.88 MB
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5. Building our Model.srt - 18.37 KB
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7. Training Your Model.srt - 17.79 KB
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3. Inspect and Visualise Data.srt - 12.56 KB
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8. Saving Model and Displaying Results.srt - 10.6 KB
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1. Importing Required Libraries.srt - 10.42 KB
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9. Plot and Visualize Your Results.srt - 7.44 KB
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4. Data Loaders.srt - 6.99 KB
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2. Transformation Pipeline.srt - 6.37 KB
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6. Optimisers and Loss Function.srt - 3.24 KB
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48. Image Captioning with Keras
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1. Image Captioning with Keras.mp4 - 96.09 MB
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1. Image Captioning with Keras.srt - 14.09 KB
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7. OpenCV - Motion and Object Tracking
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2. Object Tracking with Optical Flow.mp4 - 95.15 MB
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1. Motion Tracking with Mean Shift and CAMSHIFT.mp4 - 71.05 MB
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3. Simple Object Tracking by Color.mp4 - 48.62 MB
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2. Object Tracking with Optical Flow.srt - 15.5 KB
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1. Motion Tracking with Mean Shift and CAMSHIFT.srt - 10.59 KB
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3. Simple Object Tracking by Color.srt - 7.61 KB
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GetFreeCourses.Co.url - 116 B
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52. Point Cloud Segmentation Using PointNet
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1. Point Cloud Segmentation Using PointNet.mp4 - 92.05 MB
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1. Point Cloud Segmentation Using PointNet.srt - 13.15 KB
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GetFreeCourses.Co.url - 116 B
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55. Low Light Image Enhancement MIRNet
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1. Low Light Image Enhancement MIRNet.mp4 - 91.55 MB
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1. Low Light Image Enhancement MIRNet.srt - 10.62 KB
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31. Sign Language Detector TFODAPI EfficentDet
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1. Sign Language Detector TFODAPI EfficentDet.mp4 - 85.17 MB
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1. Sign Language Detector TFODAPI EfficentDet.srt - 10.56 KB
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1. Introduction
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1. Course Introduction.mp4 - 82.94 MB
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2. Course Overview.mp4 - 63.77 MB
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3. What Makes Computer Vision Hard.mp4 - 46.16 MB
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4. What are Images.mp4 - 44.22 MB
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1. Course Introduction.srt - 17.21 KB
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2. Course Overview.srt - 16.17 KB
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4. What are Images.srt - 10.71 KB
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3. What Makes Computer Vision Hard.srt - 9.39 KB
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30. Mask Detector TFODAPI MobileNetV2_SSD
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1. Mask Detector TFODAPI MobileNetV2_SSD.mp4 - 81.18 MB
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1. Mask Detector TFODAPI MobileNetV2_SSD.srt - 11.11 KB
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23. Autoencoders
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2. Autoencoders in Keras.mp4 - 80.55 MB
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3. Autoencoders in PyTorch.mp4 - 66.04 MB
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1. Introduction to Autoencoders.mp4 - 25.37 MB
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2. Autoencoders in Keras.srt - 13.7 KB
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3. Autoencoders in PyTorch.srt - 11.23 KB
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1. Introduction to Autoencoders.srt - 10.46 KB
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6. OpenCV - Image Analysis and Transformation
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2. Histograms and K-Means Clustering for Dominant Colors.mp4 - 79.89 MB
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6. Background and Foreground Subtraction.mp4 - 66.11 MB
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1. Perspective Transforms.mp4 - 64.42 MB
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5. Watershed Algorithm Marker-Dased Image Segmentation.mp4 - 43.33 MB
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3. Comparing Images MSE and Structual Similarity.mp4 - 42.1 MB
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4. Filtering on Colour.mp4 - 40.87 MB
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2. Histograms and K-Means Clustering for Dominant Colors.srt - 15.67 KB
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1. Perspective Transforms.srt - 12.7 KB
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6. Background and Foreground Subtraction.srt - 11.19 KB
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4. Filtering on Colour.srt - 8.38 KB
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3. Comparing Images MSE and Structual Similarity.srt - 8.36 KB
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5. Watershed Algorithm Marker-Dased Image Segmentation.srt - 8.22 KB
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40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN
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1. Introduction to Deep Segmentation.mp4 - 78.17 MB
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2. Image Segmentation Keras UNET SegNet.mp4 - 73.05 MB
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5. Detectron2 Mask R-CNN.mp4 - 70.89 MB
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4. Mask-RCNN Tensorflow Matterport.mp4 - 61.72 MB
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3. PyTorch DeepLabV3.mp4 - 60.15 MB
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6. Train Mask R-CNN Shapes Dataset.mp4 - 54.97 MB
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1. Introduction to Deep Segmentation.srt - 16.66 KB
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2. Image Segmentation Keras UNET SegNet.srt - 11.28 KB
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3. PyTorch DeepLabV3.srt - 8.02 KB
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5. Detectron2 Mask R-CNN.srt - 7.27 KB
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6. Train Mask R-CNN Shapes Dataset.srt - 6.84 KB
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4. Mask-RCNN Tensorflow Matterport.srt - 6.48 KB
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46. Depth Estimation
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1. Depth Estimation Project.mp4 - 76.77 MB
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1. Depth Estimation Project.srt - 10.7 KB
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44. Vision Transformers - ViTs
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2. Vision Transformer in Detail with PyTorch.mp4 - 76.24 MB
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3. Vision Transformers in Keras.mp4 - 47.99 MB
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1. Introduction to Vision Transformers.mp4 - 26.74 MB
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2. Vision Transformer in Detail with PyTorch.srt - 12.11 KB
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3. Vision Transformers in Keras.srt - 7.53 KB
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1. Introduction to Vision Transformers.srt - 7.47 KB
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13. Building CNNs in TensorFlow with Keras
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7. Saving and Loading and Visualising Results.mp4 - 75.55 MB
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4. Constructing the CNN.mp4 - 64.47 MB
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5. Training the Model.mp4 - 45.45 MB
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6. Plotting the Training Results.mp4 - 36.39 MB
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3. Preprocessing Our Data.mp4 - 33.53 MB
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2. View and Inspect Data.mp4 - 29.51 MB
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1. Loading Data.mp4 - 26.69 MB
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7. Saving and Loading and Visualising Results.srt - 15.93 KB
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4. Constructing the CNN.srt - 9.87 KB
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3. Preprocessing Our Data.srt - 7.57 KB
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2. View and Inspect Data.srt - 6.49 KB
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5. Training the Model.srt - 6.31 KB
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6. Plotting the Training Results.srt - 6.16 KB
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1. Loading Data.srt - 5.16 KB
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25. Siamese Network
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3. Siamese Networks in Keras.mp4 - 73.01 MB
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4. Siamese Networks in PyTorch.mp4 - 67.92 MB
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1. Introduction to Siamese Networks.mp4 - 28.8 MB
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2. Training Siamese Networks.mp4 - 13.34 MB
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3. Siamese Networks in Keras.srt - 12.8 KB
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4. Siamese Networks in PyTorch.srt - 9.76 KB
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1. Introduction to Siamese Networks.srt - 8.72 KB
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2. Training Siamese Networks.srt - 4.83 KB
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39. Plant Doctor Detector YOLOv5
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1. Plant Doctor Detector YOLOv5.mp4 - 71.12 MB
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1. Plant Doctor Detector YOLOv5.srt - 9.31 KB
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14. Assessing Model Performance
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1. Deep Learning Libraries PyTorch vs Keras Review.mp4 - 68.2 MB
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3. Confusion Matrix and Classification Report.mp4 - 67.59 MB
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4. Keras Viewing Misclassifications.mp4 - 64.91 MB
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6. PyTorch Viewing Misclassifications.mp4 - 51.37 MB
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5. Keras - Confusion Matrix and Classification Report.mp4 - 43.42 MB
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7. PyTorch - Confusion Matrix and Misclassifications.mp4 - 29.25 MB
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2. Assessing Model Performance.mp4 - 22.58 MB
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3. Confusion Matrix and Classification Report.srt - 20.39 KB
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1. Deep Learning Libraries PyTorch vs Keras Review.srt - 19.06 KB
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4. Keras Viewing Misclassifications.srt - 11.41 KB
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6. PyTorch Viewing Misclassifications.srt - 9.87 KB
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5. Keras - Confusion Matrix and Classification Report.srt - 8.87 KB
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2. Assessing Model Performance.srt - 8.66 KB
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7. PyTorch - Confusion Matrix and Misclassifications.srt - 6.58 KB
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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 - 66.54 MB
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7. Importing YouTube Videos into OpenCV.mp4 - 64.89 MB
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6. Capturing Video using Screenshots.mp4 - 46.3 MB
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4. Video Streams and CCTV - RTSP and IP.mp4 - 42.09 MB
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5. Auto Reconnect to Video Streams.mp4 - 36.24 MB
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3. Saving or Recording Videos in OpenCV.mp4 - 35.77 MB
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2. Opening Video Files in OpenCV.mp4 - 33.99 MB
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1. Using Your Webcam and Creating a Live Sketch of Yourself.srt - 11.54 KB
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7. Importing YouTube Videos into OpenCV.srt - 9.59 KB
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6. Capturing Video using Screenshots.srt - 7.17 KB
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2. Opening Video Files in OpenCV.srt - 6.69 KB
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4. Video Streams and CCTV - RTSP and IP.srt - 6.45 KB
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3. Saving or Recording Videos in OpenCV.srt - 4.75 KB
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5. Auto Reconnect to Video Streams.srt - 4.39 KB
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27. Object Detection
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1. Object Detection.mp4 - 65.25 MB
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2. History of Object Detectors.mp4 - 52.87 MB
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4. Mean Average Precision.mp4 - 45.71 MB
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6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4 - 41.2 MB
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7. Single Shot Detectors (SSDs).mp4 - 30.93 MB
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5. Non Maximum Suppression.mp4 - 19.55 MB
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3. Intersection Over Union.mp4 - 17.44 MB
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1. Object Detection.srt - 13.1 KB
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2. History of Object Detectors.srt - 12.12 KB
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4. Mean Average Precision.srt - 11.69 KB
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6. R-CNNs, Fast R-CNNs and Faster R-CNNs.srt - 11.22 KB
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7. Single Shot Detectors (SSDs).srt - 9.87 KB
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5. Non Maximum Suppression.srt - 4.39 KB
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3. Intersection Over Union.srt - 4.26 KB
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33. Mushroom Detector Detectron2
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1. Mushroom Detector Detectron2.mp4 - 64.96 MB
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1. Mushroom Detector Detectron2.srt - 7.33 KB
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53. Medical Project - X-Ray Pneumonia Prediction
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1. X-Ray Pneumonia Prediction.mp4 - 61.41 MB
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1. X-Ray Pneumonia Prediction.srt - 8.25 KB
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54. Medical Project - 3D CT Scan Classification
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1. 3D CT Scan Classification.mp4 - 60.32 MB
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1. 3D CT Scan Classification.srt - 7.87 KB
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42. Tracking with DeepSORT
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1. DeepSORT Introduction.mp4 - 59.56 MB
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2. DeepSORT with YOLOv5.mp4 - 58.34 MB
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1. DeepSORT Introduction.srt - 12.36 KB
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2. DeepSORT with YOLOv5.srt - 5.57 KB
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51. Point Cloud Classification PointNet
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1. Point Cloud Classification PointNet.mp4 - 59.53 MB
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1. Point Cloud Classification PointNet.srt - 8.31 KB
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32. Pothole Detector - TinyYOLOv4
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1. Pothole Detector - TinyYOLOv4.mp4 - 59.49 MB
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1. Pothole Detector - TinyYOLOv4.srt - 7.73 KB
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11. Deep Learning in Computer Vision Introduction
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22. Deep Learning Libraries Overview.mp4 - 59.04 MB
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21. Deep Learning History.mp4 - 57.52 MB
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19. Optimisers and Learning Rate Schedules.mp4 - 40.92 MB
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20. Deep Learning CNN Recap.mp4 - 36.39 MB
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2. Convolutions.mp4 - 33.85 MB
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18. Gradient Descent.mp4 - 32.94 MB
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12. Putting Together Your Convolutional Neural Network.mp4 - 29.38 MB
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17. Backpropagation.mp4 - 29 MB
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15. Training a CNN.mp4 - 27.38 MB
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16. Loss Functions.mp4 - 24.89 MB
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3. Feature Detectors.mp4 - 23.87 MB
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13. Parameter Counts in CNNs.mp4 - 23.83 MB
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9. Pooling.mp4 - 23.42 MB
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8. Activation Functions.mp4 - 21.74 MB
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14. Why CNNs Work So Well On Images.mp4 - 20.51 MB
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7. Stride.mp4 - 17.14 MB
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4. 3D Convolutions and Color Images.mp4 - 16.63 MB
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1. Introduction to Convolution Neural Networks.mp4 - 15.87 MB
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6. Padding.mp4 - 14.17 MB
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5. Kernel Size and Depth.mp4 - 13.67 MB
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10. Fully Connected Layers.mp4 - 11.33 MB
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11. Softmax.mp4 - 8.88 MB
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21. Deep Learning History.srt - 20.01 KB
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22. Deep Learning Libraries Overview.srt - 15.92 KB
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20. Deep Learning CNN Recap.srt - 14.3 KB
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2. Convolutions.srt - 13.01 KB
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18. Gradient Descent.srt - 11.54 KB
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12. Putting Together Your Convolutional Neural Network.srt - 11.26 KB
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19. Optimisers and Learning Rate Schedules.srt - 10.09 KB
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16. Loss Functions.srt - 9.83 KB
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15. Training a CNN.srt - 9.58 KB
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9. Pooling.srt - 8.85 KB
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17. Backpropagation.srt - 8.81 KB
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13. Parameter Counts in CNNs.srt - 8.17 KB
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7. Stride.srt - 7.8 KB
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1. Introduction to Convolution Neural Networks.srt - 7.76 KB
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8. Activation Functions.srt - 7.74 KB
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4. 3D Convolutions and Color Images.srt - 6.68 KB
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3. Feature Detectors.srt - 6.46 KB
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14. Why CNNs Work So Well On Images.srt - 6.33 KB
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5. Kernel Size and Depth.srt - 5.92 KB
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6. Padding.srt - 5.57 KB
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10. Fully Connected Layers.srt - 4.18 KB
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11. Softmax.srt - 3.94 KB
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43. Deep Fakes
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1. Creating a Deep Fake.mp4 - 58.67 MB
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1. Creating a Deep Fake.srt - 7.49 KB
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45. BiT BigTransfer Classifier Keras
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1. BiT BigTransfer Classifier Keras.mp4 - 58.62 MB
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1. BiT BigTransfer Classifier Keras.srt - 9.21 KB
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37. Bloodcell Detector YOLOv5
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1. Bloodcell Detector YOLOv5.mp4 - 58.54 MB
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1. Bloodcell Detector YOLOv5.srt - 6.65 KB
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35. Drone Maritime Detector R-CNN
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1. Drone Maritime Detector R-CNN.mp4 - 56.86 MB
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1. Drone Maritime Detector R-CNN.srt - 7.55 KB
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49. Video Classification usign CNN+RNN
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1. Video Classification usign CNN+RNN.mp4 - 56.76 MB
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1. Video Classification usign CNN+RNN.srt - 7.81 KB
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47. Image Similarity using Metric Learning
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1. Image Similarity using Metric Learning.mp4 - 56.01 MB
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1. Image Similarity using Metric Learning.srt - 7.88 KB
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56. Deploy your CV App using Flask RestFUL API & Web App
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1. Flask RestFUL API.mp4 - 54.94 MB
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2. Flask Web App.mp4 - 37.26 MB
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1. Flask RestFUL API.srt - 9.99 KB
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2. Flask Web App.srt - 6.09 KB
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34. Website Region Detector YOLOv4 Darknet
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1. Website Region Detector YOLOv4 Darknet.mp4 - 49.63 MB
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1. Website Region Detector YOLOv4 Darknet.srt - 6.7 KB
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8. OpenCV - Facial Landmark Detection & Face Swaps
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2. Face Swapping with Dlib.mp4 - 49.4 MB
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1. Facial Landmark Detection with Dlib.mp4 - 37.54 MB
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1. Facial Landmark Detection with Dlib.srt - 8.2 KB
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2. Face Swapping with Dlib.srt - 8.06 KB
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50. Video Classification with Transformers
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1. Video Classification with Transformers.mp4 - 49.24 MB
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1. Video Classification with Transformers.srt - 6.48 KB
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57. OCR Captcha Cracker
-
1. OCR Captcha Cracker.mp4 - 46.38 MB
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1. OCR Captcha Cracker.srt - 7.67 KB
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41. Body Pose Estimation
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1. Body Pose Estimation.mp4 - 46.21 MB
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1. Body Pose Estimation.srt - 4.54 KB
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17. Advamced Convolutional Neural Networks
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7. MobileNetV1 and V2.mp4 - 43.82 MB
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11. DenseNet.mp4 - 32.02 MB
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12. The ImageNet Dataset.mp4 - 29.53 MB
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10. EfficientNet.mp4 - 24.99 MB
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8. InceptionV3.mp4 - 23.42 MB
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6. Why ResNets Work So Well.mp4 - 23.29 MB
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9. SqueezeNet.mp4 - 23.18 MB
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4. VGG16 and VGG19.mp4 - 23.05 MB
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2. LeNet.mp4 - 18.67 MB
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5. ResNets.mp4 - 17.8 MB
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3. AlexNet.mp4 - 17.53 MB
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1. History and Evolution of Convolutional Neural Networks.mp4 - 9.13 MB
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7. MobileNetV1 and V2.srt - 14.7 KB
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11. DenseNet.srt - 10.41 KB
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8. InceptionV3.srt - 8.84 KB
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10. EfficientNet.srt - 7.88 KB
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12. The ImageNet Dataset.srt - 7.74 KB
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5. ResNets.srt - 7.04 KB
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4. VGG16 and VGG19.srt - 7.03 KB
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9. SqueezeNet.srt - 6.84 KB
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6. Why ResNets Work So Well.srt - 6.61 KB
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3. AlexNet.srt - 5.91 KB
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1. History and Evolution of Convolutional Neural Networks.srt - 5.57 KB
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2. LeNet.srt - 4.51 KB
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36. Chess Piece YOLOv3
-
1. Chess Piece YOLOv3.mp4 - 42.66 MB
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1. Chess Piece YOLOv3.srt - 7.02 KB
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28. Modern Object Detectors - YOLO, EfficientDet, Detectron2
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6. Detectron2.mp4 - 40.59 MB
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1. Introduction to YOLO.mp4 - 33.48 MB
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5. EfficientDet.mp4 - 30.74 MB
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2. How YOLO Works.mp4 - 29.31 MB
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3. Training YOLO.mp4 - 25.03 MB
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4. YOLO Evolution.mp4 - 24.18 MB
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6. Detectron2.srt - 9.78 KB
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1. Introduction to YOLO.srt - 8.51 KB
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5. EfficientDet.srt - 8.22 KB
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4. YOLO Evolution.srt - 7.87 KB
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3. Training YOLO.srt - 6.54 KB
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2. How YOLO Works.srt - 6.42 KB
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38. Hard Hat Detector EfficentDet
-
1. Hard Hat Detector EfficentDet.mp4 - 30.6 MB
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1. Hard Hat Detector EfficentDet.srt - 5.3 KB
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-
Download Paid Udemy Courses For Free.url - 116 B
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GetFreeCourses.Co.url - 116 B
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| udp://9.rarbg.com:2920/announce | 8 | 6 | 192 |
| udp://tracker.opentrackr.org:1337/announce | 9 | 6 | 116 |
| udp://fe.dealclub.de:6969/announce | 0 | 0 | 1 |
| udp://opentracker.i2p.rocks:6969/announce | 8 | 5 | 65 |
| udp://tracker.monitorit4.me:6969/announce | 3 | 1 | 1 |
| udp://tracker.dler.com:6969/announce | 1 | 0 | 0 |
| udp://open.stealth.si:80/announce | 9 | 4 | 113 |
| udp://pow7.com:80/announce | 7 | 5 | 10 |
| udp://tracker.leech.ie:1337/announce | 0 | 0 | 0 |
| udp://p4p.arenabg.com:1337/announce | 3 | 1 | 0 |
| udp://movies.zsw.ca:6969/announce | 0 | 0 | 5 |
| udp://tracker.blacksparrowmedia.net:6969/announce | 0 | 0 | 0 |
| udp://exodus.desync.com:6969/announce | 0 | 0 | 5 |
| udp://explodie.org:6969/announce | 0 | 0 | 0 |
| udp://tracker.theoks.net:6969/announce | 4 | 1 | 18 |
| udp://bt2.archive.org:6969/announce | 0 | 0 | 0 |
| udp://bt1.archive.org:6969/announce | 0 | 0 | 0 |
| udp://tracker1.bt.moack.co.kr:80/announce | 3 | 1 | 18 |
InfoHash:
6D519DF9B704F77960797672AAC6B0B2FABBA33A
Last updated:
Mar 17, 2023
File count:
465 B
File Category:
1
Tags:
getfreecourses, udemy, modern, computer, vision, pytorch, tensorflow2, keras, opencv4