Mastering PyTorch

Table of Contents

1. Overview of Deep Learning using PyTorch
2. Deep CNN architectures
3. Combining CNNs and LSTMs
4. Deep Recurrent Model Architectures
5. Advanced Hybrid Models
6. Graph Neural Networks
7. Music and Text Generation with PyTorch
8. Neural Style Transfer
9. Deep Convolutional GANs
10. Image Generation Using Diffusion
11. Deep Reinforcement Learning
12. Model Training Optimizations
13. Operationalizing PyTorch Models into Production
14. PyTorch on Mobile Devices
15. Rapid Prototyping with PyTorch
16. PyTorch and AutoML
17. PyTorch and Explainable AI
18. Recommendation Systems with TorchRec
19. PyTorch and Hugging Face