EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch

Designing the structure of neural networks is considered one of the most challenging tasks in deep learning, especially when there is few prior knowledge about the task domain. In this paper, we propose an Ecologically-Inspired GENetic (EIGEN) approach that uses the concept of succession, extinction...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 9051 - 9060
Main Authors:	Ren, Jian, Li, Zhe, Yang, Jianchao, Xu, Ning, Yang, Tianbao, Foran, David J.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2019
Subjects:	Deep Learning
ISSN:	1063-6919
Online Access:	Get full text
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