Open Internet by MindsNet

Limitations of Hand-Designed Optimization Algorithms

The current reliance on hand-designed optimization algorithms, such as Adam, for training neural networks may be limiting progress in the field. These algorithms are not learned and may not be optimal for complex tasks. The 'Bitter Lesson' suggests that general methods that leverage learning will ultimately outperform hand-crafted heuristics.

Computing & Technology, Computer Science, Machine Learning