Welcome to the Deep Learning Advanced course materials page! Here you'll find comprehensive resources to deepen your understanding of cutting-edge techniques in neural networks and AI. 🧠
Course Resources 📁
- Lecture Notes: Download PDF
- Code Examples: Access Jupyter Notebooks
- Datasets: Explore sample data
- Additional Reading: Read about optimization algorithms
Visual Aids 📷
Key Topics Covered 🔍
- Advanced CNN architectures
- Transformer models and attention mechanisms
- Reinforcement learning frameworks
- Distributed training techniques
- Ethical AI considerations 🌍
For interactive exercises, visit /en/courses/deep-learning-advanced/exercises. 💡