Understand
We explore the energy landscape of a simple neural network.
- In particular, we expand upon previous work demonstrating that the empirical complexity of fitted neural networks is vastly less than a naive parameter count would suggest and that this implicit regularization is actually beneficial for generalization from fitted models.
Built on
H. Jónsson, G. Mills, K. W. Jacobsen, Nudged elastic band method for finding minimum energy paths of transitions , Classical and Quantum Dynamics in Condensed Phase Simulations, Chapter 16, Ed. B. J. Berne, G. Ciccoti and D. F. Coker, 385 (World Scientific, 1998)
1998
Earlier work this paper cites.
Similar
Kevin K. Chen, Anthony Gamst, and Alden Walker Knots in random neural networks , Workshop on Bayesian Deep Learning, NIPS 2016
2016
Cited alongside, same era.
Cited in the paper.
Cited in the paper.
Kevin K. Chen The upper bound on knots in neural networks , preprint: arxiv:1611.09448
Cited in the paper.
Cited in the paper.
Then
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