Explore the theory and mathematics behind training neural networks through backpropagation and gradient descent in this 22-minute video. Delve into a high-level overview of the process, understand the roles of prediction and error wizards, examine the gradient of the error function, and analyze neural network elements. Learn about gradient descent and its application in optimizing neural networks. Access accompanying slides for visual aid and join The Sound of AI community for further discussions. Gain insights into hiring the presenter as a consultant or connect through various social media platforms for additional resources and networking opportunities.