Backpropagation Demystified: How Neural Networks Learn

Neural networks drive many of today’s AI advancements, but how do they actually learn? This talk unpacks backpropagation—the key algorithm behind deep learning—step by step. We’ll explore its mathematical foundations and the role of gradients in optimizing neural networks. Whether you're new to the topic or looking to deepen your understanding, this session will provide a clear, practical grasp of how backpropagation works and why it matters in AI development.