Pavement Distress Detection

This lecture covers the importance of on-time preventive maintenance for detecting and classifying pavement distress, including cracks, surface deterioration, potholes, fatigue cracking, and more. It introduces machine learning concepts for engineers, focusing on optimization techniques like gradient descent, learning rate, and optimizers. The instructor explains the impact of weight initialization on training neural networks and provides insights into convolutional neural networks (CNN) for handling images efficiently.