Deep Edge Intelligence (DEI) has a tremendous potential to democratize Artificial Intelligence and address challenges caused by the rapid data and device proliferation. In “State-of-the-art Techniques for Deep Edge Intelligence (arXiv:2008.00824v2[cs.AI] 4 Aug 2020”, we identify some key constraints that must be factored in to adapt Deep Learning for operating at the network “Edge”. We consolidate the existing works under “Enabling Mechanisms” to present a unified state of research without over categorization. We also present the overarching categories offering major challenges as well as potential research avenues for DEI.