GetFreeCourses.Co-Udemy-Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

Creation Time	Oct. 13, 2024, 9:46 p.m.
Last Access Time	Dec. 24, 2024, 11:20 p.m.
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Keywords	Tensorflow2 OpenCV4 Keras PyTorch Vision™ GetFreeCourses Computer Co-Udemy-Modern
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16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 156.1 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 153.8 MB
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 151.0 MB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 143.0 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 141.1 MB
4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 139.8 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 139.3 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 132.4 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 131.8 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 128.5 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 121.6 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 121.6 MB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 119.5 MB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 117.2 MB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 117.1 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 115.0 MB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 114.9 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 114.7 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 111.4 MB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 110.2 MB
24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.mp4 108.1 MB
15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4 108.1 MB
16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.mp4 107.2 MB
20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4 106.6 MB
21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.mp4 103.4 MB
12. Building CNNs in PyTorch/5. Building our Model.mp4 102.3 MB
24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.mp4 102.2 MB
24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.mp4 100.9 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.mp4 97.9 MB
48. Image Captioning with Keras/1. Image Captioning with Keras.mp4 96.1 MB
12. Building CNNs in PyTorch/7. Training Your Model.mp4 96.1 MB
15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp4 96.0 MB
21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.mp4 96.0 MB
7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.mp4 95.2 MB
3. OpenCV - Image Operations/1. Getting Started with OpenCV4.mp4 94.7 MB
52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.mp4 92.1 MB
55. Low Light Image Enhancement MIRNet/1. Low Light Image Enhancement MIRNet.mp4 91.5 MB
9. OpenCV Projects/10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp4 89.0 MB
5. OpenCV - Haar Cascade Classifiers/2. Vehicle and Pedestrian Detection.mp4 86.1 MB
31. Sign Language Detector TFODAPI EfficentDet/1. Sign Language Detector TFODAPI EfficentDet.mp4 85.2 MB
9. OpenCV Projects/12. Facial Recognition.mp4 84.3 MB
1. Introduction/1. Course Introduction.mp4 82.9 MB
15. Improving Models and Advanced CNN Design/9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp4 82.7 MB
30. Mask Detector TFODAPI MobileNetV2_SSD/1. Mask Detector TFODAPI MobileNetV2_SSD.mp4 81.2 MB
9. OpenCV Projects/8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp4 81.0 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3. Face Recognition Keras One Shot Learning and Friends.mp4 80.6 MB
23. Autoencoders/2. Autoencoders in Keras.mp4 80.5 MB
16. Visualizing What CNN's Learn/8. Grad-CAM Plus.mp4 80.4 MB
3. OpenCV - Image Operations/10. Dilation, Erosion and Edge Detection.mp4 80.0 MB
6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.mp4 79.9 MB
9. OpenCV Projects/5. YOLOv3 in OpenCV.mp4 79.5 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.mp4 78.2 MB
46. Depth Estimation/1. Depth Estimation Project.mp4 76.8 MB
44. Vision Transformers - ViTs/2. Vision Transformer in Detail with PyTorch.mp4 76.2 MB
13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.mp4 75.6 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.mp4 73.1 MB
25. Siamese Network/3. Siamese Networks in Keras.mp4 73.0 MB
22. Google DeepStream and Neural Style Transfer/2. Google DeepDream in Keras.mp4 72.9 MB
20. PyTorch Lightning/4. PyTorch Lightning Calls, Saving, Inference.mp4 71.6 MB
39. Plant Doctor Detector YOLOv5/1. Plant Doctor Detector YOLOv5.mp4 71.1 MB
7. OpenCV - Motion and Object Tracking/1. Motion Tracking with Mean Shift and CAMSHIFT.mp4 71.1 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.mp4 70.9 MB
12. Building CNNs in PyTorch/3. Inspect and Visualise Data.mp4 70.6 MB
9. OpenCV Projects/4. Barcode, QR Generation and Reading.mp4 68.7 MB
4. OpenCV - Image Segmentation/4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp4 68.5 MB
3. OpenCV - Image Operations/3. Colour Spaces - RGB and HSV.mp4 68.3 MB
14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.mp4 68.2 MB
25. Siamese Network/4. Siamese Networks in PyTorch.mp4 67.9 MB
14. Assessing Model Performance/3. Confusion Matrix and Classification Report.mp4 67.6 MB
3. OpenCV - Image Operations/5. Transformations - Translations and Rotations.mp4 67.2 MB
10. OpenCV - Working With Video/1. Using Your Webcam and Creating a Live Sketch of Yourself.mp4 66.5 MB
3. OpenCV - Image Operations/7. Arithmetic and Bitwise Operations.mp4 66.1 MB
6. OpenCV - Image Analysis and Transformation/6. Background and Foreground Subtraction.mp4 66.1 MB
23. Autoencoders/3. Autoencoders in PyTorch.mp4 66.0 MB
24. Generative Adversarial Networks (GANs)/6. PyTorch GANs.mp4 65.4 MB
27. Object Detection/1. Object Detection.mp4 65.2 MB
33. Mushroom Detector Detectron2/1. Mushroom Detector Detectron2.mp4 65.0 MB
14. Assessing Model Performance/4. Keras Viewing Misclassifications.mp4 64.9 MB
10. OpenCV - Working With Video/7. Importing YouTube Videos into OpenCV.mp4 64.9 MB
13. Building CNNs in TensorFlow with Keras/4. Constructing the CNN.mp4 64.5 MB
6. OpenCV - Image Analysis and Transformation/1. Perspective Transforms.mp4 64.4 MB
15. Improving Models and Advanced CNN Design/11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp4 64.2 MB
20. PyTorch Lightning/5. Training on Multiple GPU, Profiling and TPUs.mp4 64.1 MB
1. Introduction/2. Course Overview.mp4 63.8 MB
20. PyTorch Lightning/2. Lightning Setup and Class.mp4 62.1 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.mp4 61.7 MB
53. Medical Project - X-Ray Pneumonia Prediction/1. X-Ray Pneumonia Prediction.mp4 61.4 MB
54. Medical Project - 3D CT Scan Classification/1. 3D CT Scan Classification.mp4 60.3 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.mp4 60.1 MB
42. Tracking with DeepSORT/1. DeepSORT Introduction.mp4 59.6 MB
51. Point Cloud Classification PointNet/1. Point Cloud Classification PointNet.mp4 59.5 MB
32. Pothole Detector - TinyYOLOv4/1. Pothole Detector - TinyYOLOv4.mp4 59.5 MB
11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.mp4 59.0 MB
9. OpenCV Projects/1. Tilt Shift Effects.mp4 59.0 MB
3. OpenCV - Image Operations/8. Convolutions, Blurring and Sharpening Images.mp4 59.0 MB
43. Deep Fakes/1. Creating a Deep Fake.mp4 58.7 MB
45. BiT BigTransfer Classifier Keras/1. BiT BigTransfer Classifier Keras.mp4 58.6 MB
37. Bloodcell Detector YOLOv5/1. Bloodcell Detector YOLOv5.mp4 58.5 MB
42. Tracking with DeepSORT/2. DeepSORT with YOLOv5.mp4 58.3 MB
22. Google DeepStream and Neural Style Transfer/3. Google DeepDream in PyTorch.mp4 58.3 MB
22. Google DeepStream and Neural Style Transfer/6. Neural Style Transfer in PyTorch.mp4 57.9 MB
11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.mp4 57.5 MB
35. Drone Maritime Detector R-CNN/1. Drone Maritime Detector R-CNN.mp4 56.9 MB
49. Video Classification usign CNN+RNN/1. Video Classification usign CNN+RNN.mp4 56.8 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/2. Facial Similarity Keras VGGFace.mp4 56.6 MB
4. OpenCV - Image Segmentation/3. Line, Circle and Blob Detection.mp4 56.6 MB
47. Image Similarity using Metric Learning/1. Image Similarity using Metric Learning.mp4 56.0 MB
21. Transfer Learning and Fine Tuning/2. Transfer Learning in PyTorch Lightning.mp4 55.9 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/6. Getting the Rank-N Accuracy in Keras.mp4 55.8 MB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.mp4 55.0 MB
56. Deploy your CV App using Flask RestFUL API & Web App/1. Flask RestFUL API.mp4 54.9 MB
27. Object Detection/2. History of Object Detectors.mp4 52.9 MB
3. OpenCV - Image Operations/2. Grayscaling Images.mp4 52.5 MB
3. OpenCV - Image Operations/4. Drawing on Images.mp4 52.0 MB
9. OpenCV Projects/7. SSDs in OpenCV.mp4 51.8 MB
14. Assessing Model Performance/6. PyTorch Viewing Misclassifications.mp4 51.4 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/4. Face Recognition PyTorch FaceNet.mp4 51.3 MB
22. Google DeepStream and Neural Style Transfer/4. Introduction to Neural Style Transfer.mp4 50.0 MB
34. Website Region Detector YOLOv4 Darknet/1. Website Region Detector YOLOv4 Darknet.mp4 49.6 MB
8. OpenCV - Facial Landmark Detection & Face Swaps/2. Face Swapping with Dlib.mp4 49.4 MB
24. Generative Adversarial Networks (GANs)/3. Training GANs.mp4 49.3 MB
12. Building CNNs in PyTorch/8. Saving Model and Displaying Results.mp4 49.3 MB
50. Video Classification with Transformers/1. Video Classification with Transformers.mp4 49.2 MB
7. OpenCV - Motion and Object Tracking/3. Simple Object Tracking by Color.mp4 48.6 MB
44. Vision Transformers - ViTs/3. Vision Transformers in Keras.mp4 48.0 MB
12. Building CNNs in PyTorch/1. Importing Required Libraries.mp4 47.7 MB
57. OCR Captcha Cracker/1. OCR Captcha Cracker.mp4 46.4 MB
10. OpenCV - Working With Video/6. Capturing Video using Screenshots.mp4 46.3 MB
41. Body Pose Estimation/1. Body Pose Estimation.mp4 46.2 MB
1. Introduction/3. What Makes Computer Vision Hard.mp4 46.2 MB
27. Object Detection/4. Mean Average Precision.mp4 45.7 MB
9. OpenCV Projects/2. GrabCut Algorithm for Background Removal.mp4 45.6 MB
13. Building CNNs in TensorFlow with Keras/5. Training the Model.mp4 45.5 MB
1. Introduction/4. What are Images.mp4 44.2 MB
15. Improving Models and Advanced CNN Design/1. What is Overfitting and Generalisation.mp4 44.0 MB
17. Advamced Convolutional Neural Networks/7. MobileNetV1 and V2.mp4 43.8 MB
24. Generative Adversarial Networks (GANs)/1. Introduction to GANs.mp4 43.6 MB
14. Assessing Model Performance/5. Keras - Confusion Matrix and Classification Report.mp4 43.4 MB
6. OpenCV - Image Analysis and Transformation/5. Watershed Algorithm Marker-Dased Image Segmentation.mp4 43.3 MB
36. Chess Piece YOLOv3/1. Chess Piece YOLOv3.mp4 42.7 MB
6. OpenCV - Image Analysis and Transformation/3. Comparing Images MSE and Structual Similarity.mp4 42.1 MB
10. OpenCV - Working With Video/4. Video Streams and CCTV - RTSP and IP.mp4 42.1 MB
27. Object Detection/6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4 41.2 MB
11. Deep Learning in Computer Vision Introduction/19. Optimisers and Learning Rate Schedules.mp4 40.9 MB
6. OpenCV - Image Analysis and Transformation/4. Filtering on Colour.mp4 40.9 MB
28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/6. Detectron2.mp4 40.6 MB
22. Google DeepStream and Neural Style Transfer/1. Introduction to Google DeepDream Visualizations.mp4 39.9 MB
9. OpenCV Projects/11. Detect Blur in Images.mp4 39.6 MB
20. PyTorch Lightning/1. Introduction to PyTorch Lightning.mp4 38.2 MB
8. OpenCV - Facial Landmark Detection & Face Swaps/1. Facial Landmark Detection with Dlib.mp4 37.5 MB
56. Deploy your CV App using Flask RestFUL API & Web App/2. Flask Web App.mp4 37.3 MB
4. OpenCV - Image Segmentation/5. Finding Corners.mp4 36.5 MB
13. Building CNNs in TensorFlow with Keras/6. Plotting the Training Results.mp4 36.4 MB
11. Deep Learning in Computer Vision Introduction/20. Deep Learning CNN Recap.mp4 36.4 MB
10. OpenCV - Working With Video/5. Auto Reconnect to Video Streams.mp4 36.2 MB
10. OpenCV - Working With Video/3. Saving or Recording Videos in OpenCV.mp4 35.8 MB
16. Visualizing What CNN's Learn/2. Visualising Filter Activations.mp4 35.5 MB
24. Generative Adversarial Networks (GANs)/8. AnimeGAN.mp4 34.8 MB
10. OpenCV - Working With Video/2. Opening Video Files in OpenCV.mp4 34.0 MB
11. Deep Learning in Computer Vision Introduction/2. Convolutions.mp4 33.9 MB
13. Building CNNs in TensorFlow with Keras/3. Preprocessing Our Data.mp4 33.5 MB
28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/1. Introduction to YOLO.mp4 33.5 MB
11. Deep Learning in Computer Vision Introduction/18. Gradient Descent.mp4 32.9 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/1. Face Recognition Overview.mp4 32.0 MB
17. Advamced Convolutional Neural Networks/11. DenseNet.mp4 32.0 MB
15. Improving Models and Advanced CNN Design/5. Data Augmentation.mp4 31.9 MB
21. Transfer Learning and Fine Tuning/1. Transfer Learning Introduction.mp4 31.9 MB
24. Generative Adversarial Networks (GANs)/9. ArcaneGAN.mp4 31.5 MB
27. Object Detection/7. Single Shot Detectors (SSDs).mp4 30.9 MB
28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/5. EfficientDet.mp4 30.7 MB
38. Hard Hat Detector EfficentDet/1. Hard Hat Detector EfficentDet.mp4 30.6 MB
16. Visualizing What CNN's Learn/5. Class Maximization.mp4 30.1 MB
12. Building CNNs in PyTorch/4. Data Loaders.mp4 29.9 MB
12. Building CNNs in PyTorch/2. Transformation Pipeline.mp4 29.5 MB
17. Advamced Convolutional Neural Networks/12. The ImageNet Dataset.mp4 29.5 MB
13. Building CNNs in TensorFlow with Keras/2. View and Inspect Data.mp4 29.5 MB
11. Deep Learning in Computer Vision Introduction/12. Putting Together Your Convolutional Neural Network.mp4 29.4 MB
28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/2. How YOLO Works.mp4 29.3 MB
14. Assessing Model Performance/7. PyTorch - Confusion Matrix and Misclassifications.mp4 29.3 MB
11. Deep Learning in Computer Vision Introduction/17. Backpropagation.mp4 29.0 MB
24. Generative Adversarial Networks (GANs)/1.1 Slides - Generative Adverserial Networks.pdf 28.9 MB
21. Transfer Learning and Fine Tuning/6. PyTorch Transfer Learning and Freezing Network Layers.mp4 28.8 MB
25. Siamese Network/1. Introduction to Siamese Networks.mp4 28.8 MB
9. OpenCV Projects/9. Inpainting to Restore Damaged Photos.mp4 28.5 MB
11. Deep Learning in Computer Vision Introduction/15. Training a CNN.mp4 27.4 MB
44. Vision Transformers - ViTs/1. Introduction to Vision Transformers.mp4 26.7 MB
13. Building CNNs in TensorFlow with Keras/1. Loading Data.mp4 26.7 MB
24. Generative Adversarial Networks (GANs)/2. How Do GANs Work.mp4 26.5 MB
12. Building CNNs in PyTorch/9. Plot and Visualize Your Results.mp4 25.8 MB
23. Autoencoders/1. Introduction to Autoencoders.mp4 25.4 MB
28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/3. Training YOLO.mp4 25.0 MB
17. Advamced Convolutional Neural Networks/10. EfficientNet.mp4 25.0 MB
11. Deep Learning in Computer Vision Introduction/16. Loss Functions.mp4 24.9 MB
28. Modern Object Detectors - YOLO, EfficientDet, Detectron2/4. YOLO Evolution.mp4 24.2 MB
11. Deep Learning in Computer Vision Introduction/3. Feature Detectors.mp4 23.9 MB
15. Improving Models and Advanced CNN Design/7. Batch Normalization.mp4 23.8 MB
11. Deep Learning in Computer Vision Introduction/13. Parameter Counts in CNNs.mp4 23.8 MB
11. Deep Learning in Computer Vision Introduction/9. Pooling.mp4 23.4 MB
17. Advamced Convolutional Neural Networks/8. InceptionV3.mp4 23.4 MB
17. Advamced Convolutional Neural Networks/6. Why ResNets Work So Well.mp4 23.3 MB
17. Advamced Convolutional Neural Networks/9. SqueezeNet.mp4 23.2 MB
16. Visualizing What CNN's Learn/4. Maximizing Filters.mp4 23.1 MB
17. Advamced Convolutional Neural Networks/4. VGG16 and VGG19.mp4 23.1 MB
14. Assessing Model Performance/2. Assessing Model Performance.mp4 22.6 MB
2. Download Code and Setup Colab/2. Setup - Download Code and Configure Colab.mp4 22.6 MB
11. Deep Learning in Computer Vision Introduction/8. Activation Functions.mp4 21.7 MB
11. Deep Learning in Computer Vision Introduction/14. Why CNNs Work So Well On Images.mp4 20.5 MB
16. Visualizing What CNN's Learn/1. Visualizing CNN Filters or Feature Maps.mp4 20.5 MB
27. Object Detection/5. Non Maximum Suppression.mp4 19.5 MB
17. Advamced Convolutional Neural Networks/2. LeNet.mp4 18.7 MB
17. Advamced Convolutional Neural Networks/5. ResNets.mp4 17.8 MB
17. Advamced Convolutional Neural Networks/3. AlexNet.mp4 17.5 MB
27. Object Detection/3. Intersection Over Union.mp4 17.4 MB
11. Deep Learning in Computer Vision Introduction/7. Stride.mp4 17.1 MB
11. Deep Learning in Computer Vision Introduction/4. 3D Convolutions and Color Images.mp4 16.6 MB
19. Using Callbacks in Keras and PyTorch/1. What are Callbacks.mp4 16.2 MB
11. Deep Learning in Computer Vision Introduction/1. Introduction to Convolution Neural Networks.mp4 15.9 MB
15. Improving Models and Advanced CNN Design/4. L1 and L2 Regularization.mp4 15.6 MB
16. Visualizing What CNN's Learn/7. Grad-CAM Visualize What Influences Your Model.mp4 14.9 MB
12. Building CNNs in PyTorch/6. Optimisers and Loss Function.mp4 14.9 MB
11. Deep Learning in Computer Vision Introduction/6. Padding.mp4 14.2 MB
11. Deep Learning in Computer Vision Introduction/5. Kernel Size and Depth.mp4 13.7 MB
25. Siamese Network/2. Training Siamese Networks.mp4 13.3 MB
15. Improving Models and Advanced CNN Design/3. Drop Out.mp4 13.1 MB
15. Improving Models and Advanced CNN Design/6. Early Stopping.mp4 13.0 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/4. The Top-N or Rank-N Accuracy Metric.mp4 12.4 MB
15. Improving Models and Advanced CNN Design/8. When Do We Use Regularization.mp4 11.6 MB
11. Deep Learning in Computer Vision Introduction/10. Fully Connected Layers.mp4 11.3 MB
17. Advamced Convolutional Neural Networks/1. History and Evolution of Convolutional Neural Networks.mp4 9.1 MB
11. Deep Learning in Computer Vision Introduction/11. Softmax.mp4 8.9 MB
15. Improving Models and Advanced CNN Design/2. Introduction to Regularization.mp4 8.0 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).srt 28.9 KB
16. Visualizing What CNN's Learn/6. Filter and Class Maximization.srt 24.8 KB
4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.srt 24.8 KB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.srt 23.2 KB
3. OpenCV - Image Operations/1. Getting Started with OpenCV4.srt 23.0 KB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.srt 22.8 KB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.srt 22.3 KB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.srt 22.3 KB
16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.srt 22.0 KB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.srt 21.7 KB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.srt 20.4 KB
14. Assessing Model Performance/3. Confusion Matrix and Classification Report.srt 20.4 KB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.srt 20.0 KB
11. Deep Learning in Computer Vision Introduction/21. Deep Learning History.srt 20.0 KB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).srt 19.5 KB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.srt 19.5 KB
14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.srt 19.1 KB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.srt 19.0 KB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).srt 18.9 KB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.srt 18.7 KB
12. Building CNNs in PyTorch/5. Building our Model.srt 18.4 KB
15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.srt 18.0 KB
12. Building CNNs in PyTorch/7. Training Your Model.srt 17.8 KB
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.srt 17.8 KB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.srt 17.7 KB
15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.srt 17.3 KB
1. Introduction/1. Course Introduction.srt 17.2 KB
21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.srt 17.2 KB
20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.srt 17.1 KB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.srt 16.8 KB
40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.srt 16.7 KB
24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.srt 16.4 KB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.srt 16.4 KB
1. Introduction/2. Course Overview.srt 16.2 KB
13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.srt 15.9 KB
11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.srt 15.9 KB
21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.srt 15.9 KB
6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.srt 15.7 KB
7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.srt 15.5 KB
17. Advamced Convolutional Neural Networks/7. MobileNetV1 and V2.srt 14.7 KB
5. OpenCV - Haar Cascade Classifiers/2. Vehicle and Pedestrian Detection.srt 14.7 KB
22. Google DeepStream and Neural Style Transfer/4. Introduction to Neural Style Transfer.srt 14.5 KB
3. OpenCV - Image Operations/7. Arithmetic and Bitwise Operations.srt 14.5 KB
9. OpenCV Projects/12. Facial Recognition.srt 14.5 KB
3. OpenCV - Image Operations/4. Drawing on Images.srt 14.4 KB
3. OpenCV - Image Operations/10. Dilation, Erosion and Edge Detection.srt 14.4 KB
11. Deep Learning in Computer Vision Introduction/20. Deep Learning CNN Recap.srt 14.3 KB
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