Deep Learning - Multilayer Perceptron and Backpropagation - Lecture 3

Explore the fundamental concepts of multilayer perceptrons and backpropagation in this 47-minute lecture from the AI Doctoral Academy's deep learning short course series. Delve into the architecture and functioning of multilayer perceptrons, understanding how these neural networks process information through multiple layers of interconnected nodes. Master the backpropagation algorithm, learning how neural networks adjust their weights and biases through gradient descent to minimize error and improve performance. Gain insights into the mathematical foundations that enable deep learning models to learn complex patterns and relationships in data through this comprehensive academic presentation delivered by Prof. Pitas.