GetFreeCourses.Co-Udemy-Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4
GetFreeCoursesCo-Udemy-ModernComputerVision™PyTorchTensorflow2KerasOpenCV4
种子大小:12.75 Gb
收录时间:2025-05-09
文件列表:
- 16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4156.06 Mb
- 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4153.77 Mb
- 2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip150.98 Mb
- 9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4143.03 Mb
- 22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4141.08 Mb
- 4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4139.77 Mb
- 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4139.34 Mb
- 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4132.36 Mb
- 21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4131.81 Mb
- 29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4128.47 Mb
- 21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4121.59 Mb
- 2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf121.57 Mb
- 9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4119.5 Mb
- 3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4117.18 Mb
- 4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4117.12 Mb
- 19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4114.98 Mb
- 3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4114.94 Mb
- 19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4114.72 Mb
- 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4111.38 Mb
- 5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4110.22 Mb
- 24. Generative Adversarial Networks (GANs)/4. Use Cases for GANs.mp4108.13 Mb
- 15. Improving Models and Advanced CNN Design/12. Training a Fashion Classifider (FNIST) with Regularization using PyTorch.mp4108.05 Mb
- 16. Visualizing What CNN's Learn/3. Keras Filter Visualization and Activations.mp4107.23 Mb
- 20. PyTorch Lightning/3. Auto Batch and Learning Rate Selection plus Tensorboards.mp4106.56 Mb
- 21. Transfer Learning and Fine Tuning/7. PyTorch Feature Extraction.mp4103.4 Mb
- 12. Building CNNs in PyTorch/5. Building our Model.mp4102.34 Mb
- 24. Generative Adversarial Networks (GANs)/7. Super Resolution GAN.mp4102.24 Mb
- 24. Generative Adversarial Networks (GANs)/5. Keras DCGAN with MNIST.mp4100.92 Mb
- 18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/5. Getting the Rank-N Accuracy in PyTorch.mp497.92 Mb
- 48. Image Captioning with Keras/1. Image Captioning with Keras.mp496.09 Mb
- 12. Building CNNs in PyTorch/7. Training Your Model.mp496.07 Mb
- 15. Improving Models and Advanced CNN Design/10. Training a Fashion Classifider (FNIST) with Regularization using Keras.mp496.01 Mb
- 21. Transfer Learning and Fine Tuning/3. Transfer Learning and Fine Tuning with Keras.mp496 Mb
- 7. OpenCV - Motion and Object Tracking/2. Object Tracking with Optical Flow.mp495.15 Mb
- 3. OpenCV - Image Operations/1. Getting Started with OpenCV4.mp494.74 Mb
- 52. Point Cloud Segmentation Using PointNet/1. Point Cloud Segmentation Using PointNet.mp492.05 Mb
- 55. Low Light Image Enhancement MIRNet/1. Low Light Image Enhancement MIRNet.mp491.55 Mb
- 9. OpenCV Projects/10. Add and Remove Noise and Fix Contrast with Histogram Equalization.mp488.97 Mb
- 5. OpenCV - Haar Cascade Classifiers/2. Vehicle and Pedestrian Detection.mp486.09 Mb
- 31. Sign Language Detector TFODAPI EfficentDet/1. Sign Language Detector TFODAPI EfficentDet.mp485.17 Mb
- 9. OpenCV Projects/12. Facial Recognition.mp484.31 Mb
- 1. Introduction/1. Course Introduction.mp482.94 Mb
- 15. Improving Models and Advanced CNN Design/9. Training a Fashion Classifider (FNIST) with no Regularization using Keras.mp482.69 Mb
- 30. Mask Detector TFODAPI MobileNetV2_SSD/1. Mask Detector TFODAPI MobileNetV2_SSD.mp481.18 Mb
- 9. OpenCV Projects/8. Colorize Black and White Photos using a Caffe Model in OpenCV.mp480.98 Mb
- 26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/3. Face Recognition Keras One Shot Learning and Friends.mp480.6 Mb
- 23. Autoencoders/2. Autoencoders in Keras.mp480.55 Mb
- 16. Visualizing What CNN's Learn/8. Grad-CAM Plus.mp480.37 Mb
- 3. OpenCV - Image Operations/10. Dilation, Erosion and Edge Detection.mp479.96 Mb
- 6. OpenCV - Image Analysis and Transformation/2. Histograms and K-Means Clustering for Dominant Colors.mp479.89 Mb
- 9. OpenCV Projects/5. YOLOv3 in OpenCV.mp479.52 Mb
- 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.mp478.17 Mb
- 46. Depth Estimation/1. Depth Estimation Project.mp476.77 Mb
- 44. Vision Transformers - ViTs/2. Vision Transformer in Detail with PyTorch.mp476.24 Mb
- 13. Building CNNs in TensorFlow with Keras/7. Saving and Loading and Visualising Results.mp475.55 Mb
- 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.mp473.05 Mb
- 25. Siamese Network/3. Siamese Networks in Keras.mp473.01 Mb
- 22. Google DeepStream and Neural Style Transfer/2. Google DeepDream in Keras.mp472.85 Mb
- 20. PyTorch Lightning/4. PyTorch Lightning Calls, Saving, Inference.mp471.64 Mb
- 39. Plant Doctor Detector YOLOv5/1. Plant Doctor Detector YOLOv5.mp471.12 Mb
- 7. OpenCV - Motion and Object Tracking/1. Motion Tracking with Mean Shift and CAMSHIFT.mp471.05 Mb
- 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.mp470.89 Mb
- 12. Building CNNs in PyTorch/3. Inspect and Visualise Data.mp470.58 Mb
- 9. OpenCV Projects/4. Barcode, QR Generation and Reading.mp468.68 Mb
- 4. OpenCV - Image Segmentation/4. Counting Circles, Ellipses and Finding Waldo with Template Matching.mp468.51 Mb
- 3. OpenCV - Image Operations/3. Colour Spaces - RGB and HSV.mp468.3 Mb
- 14. Assessing Model Performance/1. Deep Learning Libraries PyTorch vs Keras Review.mp468.2 Mb
- 25. Siamese Network/4. Siamese Networks in PyTorch.mp467.92 Mb
- 14. Assessing Model Performance/3. Confusion Matrix and Classification Report.mp467.59 Mb
- 3. OpenCV - Image Operations/5. Transformations - Translations and Rotations.mp467.22 Mb
- 10. OpenCV - Working With Video/1. Using Your Webcam and Creating a Live Sketch of Yourself.mp466.54 Mb
- 3. OpenCV - Image Operations/7. Arithmetic and Bitwise Operations.mp466.14 Mb
- 6. OpenCV - Image Analysis and Transformation/6. Background and Foreground Subtraction.mp466.11 Mb
- 23. Autoencoders/3. Autoencoders in PyTorch.mp466.04 Mb
- 24. Generative Adversarial Networks (GANs)/6. PyTorch GANs.mp465.41 Mb
- 27. Object Detection/1. Object Detection.mp465.25 Mb
- 33. Mushroom Detector Detectron2/1. Mushroom Detector Detectron2.mp464.96 Mb
- 14. Assessing Model Performance/4. Keras Viewing Misclassifications.mp464.91 Mb
- 10. OpenCV - Working With Video/7. Importing YouTube Videos into OpenCV.mp464.89 Mb
- 13. Building CNNs in TensorFlow with Keras/4. Constructing the CNN.mp464.47 Mb
- 6. OpenCV - Image Analysis and Transformation/1. Perspective Transforms.mp464.42 Mb
- 15. Improving Models and Advanced CNN Design/11. Training a Fashion Classifider (FNIST) with no Regularization using PyTorch.mp464.16 Mb
- 20. PyTorch Lightning/5. Training on Multiple GPU, Profiling and TPUs.mp464.15 Mb
- 1. Introduction/2. Course Overview.mp463.77 Mb
- 20. PyTorch Lightning/2. Lightning Setup and Class.mp462.15 Mb
- 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.mp461.72 Mb
- 53. Medical Project - X-Ray Pneumonia Prediction/1. X-Ray Pneumonia Prediction.mp461.41 Mb
- 54. Medical Project - 3D CT Scan Classification/1. 3D CT Scan Classification.mp460.32 Mb
- 40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.mp460.15 Mb
- 42. Tracking with DeepSORT/1. DeepSORT Introduction.mp459.56 Mb
- 51. Point Cloud Classification PointNet/1. Point Cloud Classification PointNet.mp459.53 Mb
- 32. Pothole Detector - TinyYOLOv4/1. Pothole Detector - TinyYOLOv4.mp459.49 Mb
- 11. Deep Learning in Computer Vision Introduction/22. Deep Learning Libraries Overview.mp459.04 Mb
- 9. OpenCV Projects/1. Tilt Shift Effects.mp459.03 Mb
- 3. OpenCV - Image Operations/8. Convolutions, Blurring and Sharpening Images.mp458.96 Mb
- 43. Deep Fakes/1. Creating a Deep Fake.mp458.67 Mb
- 45. BiT BigTransfer Classifier Keras/1. BiT BigTransfer Classifier Keras.mp458.62 Mb
- 37. Bloodcell Detector YOLOv5/1. Bloodcell Detector YOLOv5.mp458.54 Mb
- 42. Tracking with DeepSORT/2. DeepSORT with YOLOv5.mp458.34 Mb
- 22. Google DeepStream and Neural Style Transfer/3. Google DeepDream in PyTorch.mp458.32 Mb