The power of deep learning systems trained with large data sets is not that if can figure out a global optimization. The power is just the opposite, that DL systems can more finely tune local ...

This course offers a holistic and hands-on introduction to the fundamentals of mathematical optimization for machine learning and deep learning.

to address the well-known convergence issues associated with the widely used Adam optimizer in deep learning. Traditional adaptive optimization techniques often require careful tuning of problem ...