دانلود کتاب تسلط بر PyTorch

Welcome to Packt Early Access. We’re giving you an exclusive preview of this book before it goes on sale. It can take many months to write a book, but our authors have cutting-edge information to share with you today. Early Access gives you an insight into the latest developments by making chapter drafts available. The chapters may be a little rough around the edges right now, but our authors will update them over time.
You can dip in and out of this book or follow along from start to finish;
Early Access is designed to be flexible. We hope you enjoy getting to know more about the process of writing a Packt book.
1. Chapter 1: Overview of Deep Learning with PyTorch
2. Chapter 2: Combining CNNs and LSTMs
3. Chapter 3: Deep CNN architectures
4. Chapter 4: Deep Recurrent Model Architectures
5. Chapter 5: Hybrid Advanced Neural Networks
6. Chapter 6: Graph Neural Networks
7. Chapter 7: Music and Text Generation with LSTMs
8. Chapter 8: Neural Style Transfer
9. Chapter 9: Image to Text Generation (Imagen/DALL-E)
10. Chapter 10: Deep Reinforcement Learning
11. Chapter 11: Model Training Optimisations
12. Chapter 12: Operationalizing PyTorch Models into Production
13. Chapter 13: PyTorch on Mobile and Embedded Devices
14. Chapter 14: Rapid Prototyping with PyTorch
15. Chapter 15: PyTorch and AutoML

16. Chapter 16: PyTorch and ExplainableAI
17. Chapter 17: Recommendation systems with TorchRec
18. Chapter 18: PyTorch x HuggingFace