This project is a deep learning educational course and technical study guide. It provides a comprehensive set of AI curriculum materials, including slides, notes, and assignments designed to teach neural network fundamentals and generative models.
The content focuses on the mathematical foundations of deep learning, featuring detailed step-by-step formula derivations and explanations of model architecture basics. It covers both foundational concepts and advanced research topics, such as self-supervised learning and adversarial attacks.
The repository includes applied technical exercises that integrate code and video materials to support technical skill acquisition. To facilitate offline study, the materials are organized into modular tutorials and distributed as portable documents.