Evaluation of maxout activations in deep learning across several big data domains

Evaluation of maxout activations in deep learning across several big data domains

Abstract This study investigates the effectiveness of multiple maxout activation function variants on 18 datasets using Convolutional Neural Networks. A network with maxout activation has a higher number of trainable parameters compared to networks with traditional activation functions. However, it...

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Bibliographic Details
Main Authors: Gabriel Castaneda, Paul Morris, Taghi M. Khoshgoftaar
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Journal of Big Data
Subjects:
Maxout networks
Activation functions
Big data
Deep learning
Online Access:http://link.springer.com/article/10.1186/s40537-019-0233-0

Internet

http://link.springer.com/article/10.1186/s40537-019-0233-0

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