Answers are grounded in this paper and cite their sources.
Derivatives, mostly in the form of gradients and Hessians, are ubiquitous in machine learning. Automatic differentiation (AD), also called algorithmic differentiation or simply auto-diff, is a fa...
No takes yet. Share an insight, caveat, or question.
Günes et al. (2017) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: