This video tutorial covers the installation of Pytorch and related packages, and introduces key concepts in deep neural networks, including their architecture and terminology. It discusses the importance of deep neural networks in supervised learning tasks, comparing them with other well-known models like support vector machines and random forests. The video aims to prepare viewers for implementing these concepts in future modules.

Describe the role of loss functions in training deep neural networks.

Why might one choose deep neural networks over traditional machine learning models?