Explores designing interior and exterior spaces with a social vision, emphasizing the balance between respecting existing structures and creating new unity.
Examines the evolution of architectural ideas and arguments, emphasizing the importance of understanding past architectural production to inform present choices.
Covers the foundational concepts of deep learning and the Transformer architecture, focusing on neural networks, attention mechanisms, and their applications in sequence modeling tasks.
