Wide Neural Networks of Any Depth Evolve as
Linear Models Under Gradient Descent
Jaehoon Lee, Lechao Xiao, Samuel S. Schoenholz, Yasaman Bahri
Roman Novak, Jascha Sohl-Dickstein, Jeffrey Pennington
Google Brain
{jaehlee, xlc, schsam, yasamanb, romann, jaschasd, jpennin}@google.com
Abstract
A longstanding goal in deep learning research has been to precisely characterize
training and generalization. However, th ...


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