Principles of Deep Neural Network

This course aims to provide students with a strong foundational understanding of neural networks and deep learning techniques. It introduces the principles of artificial neurons, learning algorithms, and modern neural network architectures used in real-world applications. The course emphasizes both conceptual understanding and practical implementation, enabling students to design, train, and evaluate deep learning models for tasks such as classification and regression. It also prepares students to apply deep neural networks effectively in emerging AI and data-driven domains.