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cs.LG2020
Universality of Gradient Descent Neural Network Training
G. Welper
It has been observed that design choices of neural networks are often crucial for their successful optimization. In this article, we therefore discuss the question if it is always…
math.NA2020★ 1 cited
A Relaxation Argument for Optimization in Neural Networks and Non-Convex Compressed Sensing
G. Welper
It has been observed in practical applications and in theoretical analysis that over-parametrization helps to find good minima in neural network training. Similarly, in this articl…