>The training algorithms for deep learning are also the hottest algorithm research area in machine learning, and are certainly applicable beyond deep learning.
The lore I've heard is that most new deep learning training algorithms (optimization algorithms) only work better on particular special cases, and it is hard to do better than the established algorithms in general.
I'm also not sure why you're saying they're applicable beyond deep learning--how do you plan to train a PGM or SVM using Adam?
The lore I've heard is that most new deep learning training algorithms (optimization algorithms) only work better on particular special cases, and it is hard to do better than the established algorithms in general.
I'm also not sure why you're saying they're applicable beyond deep learning--how do you plan to train a PGM or SVM using Adam?