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An attempt of finding an appropriate number of convolutional layers in cnns based on benchmarks of heterogeneous datasets Cover

An attempt of finding an appropriate number of convolutional layers in cnns based on benchmarks of heterogeneous datasets

Electrical, Control and Communication Engineering
Volume 14 (2018): Issue 1 (July 2018)
By: Vadim V. Romanuke  
Open Access
|Jul 2018

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DOI: https://doi.org/10.2478/ecce-2018-0006 | Journal eISSN: 2255-9159
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Language: English
Page range: 51 - 57
Published on: Jul 28, 2018
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
convolutional neural networks,
convolutional layers,
error rate,
hyperparameters,
performance
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2018 Vadim V. Romanuke, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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