1. Diving into PyTorch 2.0
2. PyTorch Basics
3. Transitioning from PyTorch 1.x to PyTorch 2.0
4. Venturing into Artificial Neural Networks
5. Diving Deep into Convolutional Neural Networks (CNNs)
6. Data Augmentation and Preprocessing for Vision Tasks
7. Exploring Transfer Learning with PyTorch
8. Advanced Image Classification Models
9. Object Detection Models
10. Tips and Tricks to Improve Model Performance
11. Efficient Training with PyTorch Lightning
12. Model Deployment and Production-Ready Considerations
Index