[Discussion] How the deep learning field evolved from designing specific models to designing languages of reusable components.
This post tries to show that the Deep Learning field evolved to something that now resembles a new "language" for DL. I try to ground this idea by providing the important papers that show the evolution of DL and how this ties to the concept of a new "grammar".
To make it digestible the substack post in the link has a video overview, a podcast deep dive and an extensive written post with all the papers historically on the last 13 years that lead to the conclusion of the title.
Do discuss this idea if you like it, i'd be glad to answer questions.
speiroxaiti•2mo ago
This post tries to show that the Deep Learning field evolved to something that now resembles a new "language" for DL. I try to ground this idea by providing the important papers that show the evolution of DL and how this ties to the concept of a new "grammar".
To make it digestible the substack post in the link has a video overview, a podcast deep dive and an extensive written post with all the papers historically on the last 13 years that lead to the conclusion of the title.
Do discuss this idea if you like it, i'd be glad to answer questions.
These are some clips from the video, to help as a preview: https://www.reddit.com/r/learnmachinelearning/comments/1p8re...