[PapersSummarized] Learning Representations by Back-Propagating Errors (1986)

Rating: 2/5

Here is probably the most seminal paper that laid the foundation for all deep learning. It was the original paper that introduced back propagation as a learning mechanism for perceptrons. This paper is heavy on the theory but it presents the formulas every student learns within the first few weeks of a course in deep learning.

Recommended Read: Although its a very important and historically significant paper that has influenced deep learning as we know it; I would only recommend it as a read for individuals who want to gain some context for the origins of Deep Learning, hence a 2 out of 5 rating. If you want to learn back propagation there are a lot better resources for that, my favorite being this video by 3Blue1Brown.