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 ...

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 ...

Machine learning (and especially the newly hip ... where they can train intelligent agents using evolutionary strategies, deep reinforcement learning, and other training methods.

They use different strategies to acquire the learning, which coincides with all of those questions going back and forth around the room. Surface Level vs. Deep Level Strategies John Hattie ...