Explores perception in deep learning for autonomous vehicles, covering image classification, optimization methods, and the role of representation in machine learning.
Covers the fundamental concepts of structural mechanics, including materials properties, stress and strain, equilibrium of forces and moments, and elementary structures.
Introduces machine learning basics, covering data segmentation, clustering, classification, and practical applications like image classification and face similarity.