Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties

ICLR 2018 Yi ZhouYingbin Liang

Due to the success of deep learning to solving a variety of challenging machine learning tasks, there is a rising interest in understanding loss functions for training neural networks from a theoretical aspect. Particularly, the properties of critical points and the landscape around them are of importance to determine the convergence performance of optimization algorithms... (read more)

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