Linear Frequency-Principle (LFP) model for two-layer neural networks

doi:doi:10.57702/o7mp70ym

Linear Frequency-Principle (LFP) model for two-layer neural networks

The dataset used in this paper is a collection of training data and target functions for two-layer neural networks. The dataset is used to test the performance of the Linear Frequency-Principle (LFP) model.

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The json representation of the dataset with its distributions based on DCAT.
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Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang (2024). Dataset: Linear Frequency-Principle (LFP) model for two-layer neural networks. https://doi.org/10.57702/o7mp70ym

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2010.08153
Author	Tao Luo
More Authors	Zheng Ma Zhi-Qin John Xu Yaoyu Zhang