In this work, we abstract a paradigm for modeling and analysis of algorithm suitable for supervised learning problems from the sufficiently wide two-layer ...
In this work, we use Linear Frequency Principle (LFP) (Luo et al., 2020) dynamics to model the dynamical behavior of a sufficiently wide two-layer neural ...
In this work, we use Linear Frequency Principle (LFP) (Luo et al., 2020) dynamics to model the dynamical behavior of a sufficiently wide two-layer neural ...
May 25, 2021 · A natural question arises: what is the upper limit of the decaying rate w.r.t. frequency when one trains a DNN? In this work, our theory, ...
Missing: Linear | Show results with:Linear
Our theory confirms that there is a critical decaying rate w.r.t. frequency in LFP model. It is precisely because of the existence of this limit that a ...
An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model. T. Luo, Z. Ma, Z. Wang, Z. Xu, und Y. Zhang. MSML, Volume 190 ...
An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model · Abstract · Authors · BibTeX · References · Bibliographies · Reviews ...
Title: An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model Speaker: Tao Luo Affiliation: Shanghai Jiaotong ...
2019. TLDR. An effective model of linear F-Principle (LFP) dynamics is proposed which accurately predicts the learning results of two-layer ReLU neural ...
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