Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination

Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination

Designing a Convolutional Neural Networks (CNN) is a complex task and requires expert knowledge to optimize the performance and network architecture. In this paper, a novel data-driven approach is proposed to determine the architecture of CNN models. The proposed Autonomous Convolutional Neural Netw...

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Bibliographic Details
Main Authors: Aradhya, Abhay M S, Ashfahani, Andri, Angelina, Fienny, Pratama, Mahardhika, de Mello, Rodrigo Fernandes, Sundaram, Suresh
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Evolving Intelligent Systems
Convolution Neural Networks
Online Access:https://hdl.handle.net/10356/163879

Internet

https://hdl.handle.net/10356/163879

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