Neural Networks Foundations - Part 1

Learn the fundamental concepts of neural networks in this comprehensive 79-minute lecture from UofU Data Science. Explore the mathematical foundations, basic architecture, and core principles that underpin neural network systems. Discover how neurons function as computational units, understand the role of weights and biases, and examine the forward propagation process. Gain insights into activation functions, network layers, and the basic building blocks that form the foundation of deep learning systems. Access accompanying slides to reinforce key concepts and follow along with visual demonstrations of neural network components and their interactions.