Welcome to the repository of our comprehensive Deep Learning book! This work is the culmination of our journey through the fascinating world of neural networks, inspired by the Deep Learning course taught by Professor Elisa Ricci at the University of Trento. Our goal is to bridge the gap between theoretical concepts and practical applications in the field of Deep Learning. Whether you're a student, researcher, or AI enthusiast, this book offers a deep dive into the core principles and cutting-edge techniques that power modern AI systems.
| 📚 Download the complete book here |
This book covers a wide range of topics in Deep Learning, from foundational concepts to advanced architectures. We've structured the content to provide a logical progression, ensuring that each chapter builds upon the knowledge from previous ones. Here's a sneak peek into some of the key chapters:
| Backpropagation | Optimization | Generative Models |
One of the unique features of this book is our extensive use of TikZ for creating high-quality illustrations. TikZ, a powerful package for creating graphics in LaTeX, has allowed us to craft clear, elegant diagrams that enhance understanding of complex concepts. In the TikZ folder, you'll find the source code for all our illustrations. We encourage you to explore, use, and even improve upon these diagrams. Whether you're learning TikZ or looking for inspiration for your own Deep Learning visualizations, this collection serves as a valuable resource.
We welcome contributions from the community! Whether it's fixing a typo, improving an explanation, or adding new content, your input is valuable. Here's how you can contribute:
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature) - Commit your changes (
git commit -m 'Add some AmazingFeature') - Push to the branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Feel free to drop us a line if you have any questions or suggestions:
We hope this book serves as a valuable companion on your journey to mastering Deep Learning. Happy learning, and may your gradients always descend smoothly!