Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm

Automating Configuration of Convolutional Neural Network Hyperparameters Using Genetic Algorithm

In recent years, Convolutional Neural Networks (CNN) have been widely used for real-world applications in the field of computer vision. Their class-leading performance, however, depends heavily on the architecture used for a given problem. In most cases, the architectures are manually optimized by t...

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Bibliographic Details
Main Authors: Franklin Johnson, Alvaro Valderrama, Carlos Valle, Broderick Crawford, Ricardo Soto, Ricardo Nanculef
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Artificial neural network
genetic algorithm
image classification
Online Access:https://ieeexplore.ieee.org/document/9177040/

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