Training Challenges and Optimization Algorithms

The chapter discusses the challenges of training AI models, including the high cost and inefficiency of optimization algorithms. It explains the concept of mapping the neural network problem to a higher dimension to find the global optimum. The chapter also explores alternative approaches for training larger neural networks and the trade-off between convexity and dimensionality.