[ DevCourseWeb.com ] Udemy - Modern Computer Vision and Deep Learning with Python and PyTorch

DevCourseWeb com Udemy - Modern Computer Vision and Deep Learning with Python and PyTorch

File Size: 3.64 GB

Creat Time: 2024-07-02 00:53:17

Last Active: 2024-11-19 21:22:34

Active Degree: 113

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File List:

  1. ~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/1. Implement Segmentation Models (UNet, PSPNet, DeepLab, PAN, and UNet++).mp4 203.73 MB
  2. ~Get Your Files Here !/23. Training, Evaluating and Visualizing Instance Segmentation on Custom Dataset/1. Train, Evaluate Instance Segmentation Model & Visualizing Results on Custom Data.mp4 183.11 MB
  3. ~Get Your Files Here !/18. Detectron2 for Ojbect Detection/1. Detectron2 for Ojbect Detection with PyTorch.mp4 169.30 MB
  4. ~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/3. Data Loading with PyTorch Customized Dataset Class.mp4 163.50 MB
  5. ~Get Your Files Here !/19. Training, Evaluating and Visualizing Object Detection on Custom Dataset/3. Train, Evaluate Object Detection Models & Visualizing Results on Custom Dataset.mp4 158.63 MB
  6. ~Get Your Files Here !/8. Semantic Segmentation Task Of Computer Vision/2. Semantic Segmentation Real-World Applications.mp4 149.96 MB
  7. ~Get Your Files Here !/18. Detectron2 for Ojbect Detection/2. Perform Object Detection using Detectron2 Pretrained Models.mp4 140.81 MB
  8. ~Get Your Files Here !/14. Test Models and Visualize Segmentation Results/1. Test Models and Calculate IOU,Pixel Accuracy,Fscore.mp4 119.23 MB
  9. ~Get Your Files Here !/2. What is Computer Vision & its Applications/1. Introduction to Computer Vision and its Real-world Applications.mp4 115.17 MB
  10. ~Get Your Files Here !/19. Training, Evaluating and Visualizing Object Detection on Custom Dataset/1. Custom Dataset for Object Detection.mp4 105.43 MB
  11. ~Get Your Files Here !/14. Test Models and Visualize Segmentation Results/3. Visualize Segmentation Results and Generate RGB Segmented Map.mp4 100.22 MB
  12. ~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/5. Training of Segmentation Models.mp4 78.20 MB
  13. ~Get Your Files Here !/12. Encoders and Decoders For Segmentation In PyTorch/3. Decoders for Segmentation in PyTorch Liberary.mp4 75.57 MB
  14. ~Get Your Files Here !/11. Performance Metrics (IOU) For Segmentation Models Evaluation/1. Performance Metrics (IOU, Pixel Accuracy, Precision, Recall, Fscore).mp4 72.94 MB
  15. ~Get Your Files Here !/7. Transfer Learning for Image Classification/4. FineTuning Deep ResNet Model.mp4 71.44 MB
  16. ~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/5. Data Augmentation using Albumentations with Different Transformations.mp4 69.76 MB
  17. ~Get Your Files Here !/6. Pretrained Models for Single and Multi-Label Image Classification/5. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.mp4 63.19 MB
  18. ~Get Your Files Here !/17. Deep Learning Architectures for Object Detection (R-CNN Family)/2. RCNN Deep Learning Architectures for Object Detection.mp4 61.19 MB
  19. ~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/2. Data Annotations Tool for Semantic Segmentation.mp4 60.88 MB
  20. ~Get Your Files Here !/16. Object Detection Task Of Computer Vision/1. Object Detection and its Applications.mp4 60.20 MB
  21. ~Get Your Files Here !/1. Introduction/1. Introduction to Course.mp4 56.68 MB
  22. ~Get Your Files Here !/6. Pretrained Models for Single and Multi-Label Image Classification/7. Multi-Label Image Classification using Deep Learning Models.mp4 54.97 MB
  23. ~Get Your Files Here !/7. Transfer Learning for Image Classification/2. Dataset, Data Augmentation, and Dataloaders.mp4 50.14 MB
  24. ~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/1. Datasets for Semantic Segmentation.mp4 49.48 MB
  25. ~Get Your Files Here !/12. Encoders and Decoders For Segmentation In PyTorch/1. Transfer Learning And Pretrained Deep Resnet Architecture.mp4 49.00 MB
  26. ~Get Your Files Here !/12. Encoders and Decoders For Segmentation In PyTorch/2. Encoders for Segmentation with PyTorch Liberary.mp4 48.03 MB
  27. ~Get Your Files Here !/3. Deep Convolutional Neural Networks (CNN) for Computer Vision/1. Introduction to Convolutional Neural Networks (CNN).mp4 46.44 MB
  28. ~Get Your Files Here !/21. Instance Segmentation Task of Computer Vision/1. What is Instance Segmentation.mp4 46.32 MB
  29. ~Get Your Files Here !/17. Deep Learning Architectures for Object Detection (R-CNN Family)/1. Deep Convolutional Neural Network (VGG, ResNet, GoogleNet).mp4 45.94 MB
  30. ~Get Your Files Here !/7. Transfer Learning for Image Classification/7. Fixed Feature Extractraction using ResNet.mp4 45.55 MB
  31. ~Get Your Files Here !/7. Transfer Learning for Image Classification/8. Model Optimization, Training and Results Visualization.mp4 43.07 MB
  32. ~Get Your Files Here !/15. Complete Code and Dataset for Semantic Segmentation/1. Final Code Review.mp4 41.36 MB
  33. ~Get Your Files Here !/8. Semantic Segmentation Task Of Computer Vision/1. Introduction to Semantic Image Segmentation.mp4 38.29 MB
  34. ~Get Your Files Here !/13. Implementation, Optimization and Training Of Segmentation Models/3. Learn To Optimize Hyperparameters For Segmentation Models.mp4 36.74 MB
  35. ~Get Your Files Here !/17. Deep Learning Architectures for Object Detection (R-CNN Family)/3. Fast RCNN Deep Learning Architectures for Object Detection.mp4 35.39 MB
  36. ~Get Your Files Here !/9. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/1. Pyramid Scene Parsing Network (PSPNet) For Segmentation.mp4 35.20 MB
  37. ~Get Your Files Here !/2. What is Computer Vision & its Applications/2. Major Computer Vision Tasks.mp4 32.95 MB
  38. ~Get Your Files Here !/7. Transfer Learning for Image Classification/6. Training Deep ResNet Model.mp4 31.84 MB
  39. ~Get Your Files Here !/6. Pretrained Models for Single and Multi-Label Image Classification/4. Data Preprocessing for Image Classification.mp4 31.28 MB
  40. ~Get Your Files Here !/9. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/4. Multi-Task Contextual Network (MTCNet).mp4 30.68 MB
  41. ~Get Your Files Here !/7. Transfer Learning for Image Classification/5. HyperParameteres Optimization for Model.mp4 30.19 MB
  42. ~Get Your Files Here !/7. Transfer Learning for Image Classification/1. Introduction to Transfer Learning.mp4 30.08 MB
  43. ~Get Your Files Here !/6. Pretrained Models for Single and Multi-Label Image Classification/1. Introduction to Pretrained Models.mp4 28.95 MB
  44. ~Get Your Files Here !/22. Mask RCNN for Instance Segmentation/1. Mask RCNN for Instance Segmentation.mp4 28.81 MB
  45. ~Get Your Files Here !/6. Pretrained Models for Single and Multi-Label Image Classification/2. Deep Learning ResNet and AlexNet Architectures.mp4 28.71 MB
  46. ~Get Your Files Here !/4. Setting-up Google Colab for Writing Python Code/1. Introduction to Google Colab for Python Coding.mp4 25.59 MB
  47. ~Get Your Files Here !/9. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/2. UNet Architecture For Segmentation.mp4 22.11 MB
  48. ~Get Your Files Here !/6. Pretrained Models for Single and Multi-Label Image Classification/3. Access Data from Google Drive to Colab.mp4 20.92 MB
  49. ~Get Your Files Here !/10. Segmentation Datasets, Annotations, Data Augmentation & Data Loading/7. Learn To Implement Data Loaders In Pytorch.mp4 19.76 MB
  50. ~Get Your Files Here !/9. Deep Learning Architectures For Segmentation (UNet, PSPNet, PAN)/3. Pyramid Attention Network (PAN).mp4 19.72 MB