Modern Computer Vision with PyTorch

Table of Contents

1. Artificial Neural Network Fundamentals
2. PyTorch Fundamentals
3. Building a Deep Neural Network with PyTorch
4. Introducing Convolutional Neural Networks
5. Transfer Learning for Image Classification
6. Practical Aspects of Image Classification
7. Basics of Object Detection
8. Advanced Object Detection
9. Image Segmentation
10. Applications of Object Detection and Segmentation
11. Autoencoders and Image Manipulation
12. Image Generation Using GANs
13. Advanced GANs to Manipulate Images
14. Combining Computer Vision and Reinforcement Learning
15. Combining Computer Vision and NLP Techniques
16. Foundation Models in Computer Vision
17. Applications of Stable Diffusion
18. Moving a Model to Production
19. Appendix