Flattening Layer Pruning in Convolutional Neural Networks

Flattening Layer Pruning in Convolutional Neural Networks

The rapid growth of performance in the field of neural networks has also increased their sizes. Pruning methods are getting more and more attention in order to overcome the problem of non-impactful parameters and overgrowth of neurons. In this article, the application of Global Sensitivity Analysis...

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Bibliographic Details
Main Authors: Ernest Jeczmionek, Piotr A. Kowalski
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Symmetry
Subjects:
global sensitivity analysis
Sobol procedure
fast algorithm
convolutional neural network
structure reduction
pruning
Online Access:https://www.mdpi.com/2073-8994/13/7/1147

Internet

https://www.mdpi.com/2073-8994/13/7/1147

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