Improving Neural Network With Uniform Sparse Connectivity

Improving Neural Network With Uniform Sparse Connectivity

Neural network forms the foundation of deep learning and numerous AI applications. Classical neural networks are fully connected, expensive to train and prone to overfitting. Sparse networks tend to have convoluted structure search, suboptimal performance and limited usage. We proposed the novel uni...

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Bibliographic Details
Main Author: Weijun Luo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Neural network (NN)
fully connected network (FCN)
uniform sparse network (USN)
sparse network (SN)
machine learning (ML)
deep learning (DL)
Online Access:https://ieeexplore.ieee.org/document/9272304/

Internet

https://ieeexplore.ieee.org/document/9272304/

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