The capacity of feedforward neural networks

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The capacity of feedforward neural networks

2 January 2019

Roman Vershynin

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Papers citing "The capacity of feedforward neural networks"

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Title
The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects Zhanxing Zhu Jingfeng Wu Ting Yu Lei Wu Jin Ma 41 40 0 01 Mar 2018
Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks Peter L. Bartlett Nick Harvey Christopher Liaw Abbas Mehrabian 213 434 0 08 Mar 2017
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 180 260 0 16 Dec 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 351 4,636 0 10 Nov 2016
The Power of Depth for Feedforward Neural Networks Ronen Eldan Ohad Shamir 221 732 0 12 Dec 2015
A Theory of Local Learning, the Learning Channel, and the Optimality of Backpropagation Pierre Baldi Peter Sadowski 58 72 0 22 Jun 2015
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 248 16,378 0 30 Apr 2014