Universality of Gradient Descent Neural Network Training

E-Reverance 24 points 2 comments August 20, 2026
arxiv.org · View on Hacker News

Discussion Highlights (1 comments)

ipunchghosts

An adjacent question: is there an input dataset you can use for training that be computed in closed form so that when you train on your target dataset, learning is effecient. Methods like formula driven supervised learning exist to arrive a good pretrained weight state, but could this procedure be generalized for specific datasets or flavors of input data.

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