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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
Published in:
NeurIPS (2019)
Keyphrases
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linear models
neural network
variable selection
linear model
pattern recognition
learning rules
gaussian processes
linear regression
nonlinear models
machine learning
image sequences