Explore the foundational concepts of neural networks and deep learning in this 57-minute lecture from MIT's Hands-On Deep Learning course. Delve into the historical development and background of the field while gaining comprehensive insights into the fundamental principles that underpin modern deep learning systems. Learn about the essential components of neural networks and discover the methodologies used for training deep neural networks effectively. Master the core theoretical framework that serves as the building blocks for advanced deep learning applications, providing you with the knowledge necessary to understand how these powerful computational models learn and adapt to solve complex problems.