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GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS

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Paper Details

Authors:
Submitted On:
4 October 2018 - 9:27am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Norbert Mitschke
Paper Code:
ICIP18001
Document Year:
2018
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Document Files

bsp-poster_cmyk.pdf

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[1] , "GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3401. Accessed: Oct. 17, 2018.
@article{3401-18,
url = {http://sigport.org/3401},
author = { },
publisher = {IEEE SigPort},
title = {GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS},
year = {2018} }
TY - EJOUR
T1 - GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3401
ER -
. (2018). GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS. IEEE SigPort. http://sigport.org/3401
, 2018. GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS. Available at: http://sigport.org/3401.
. (2018). "GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS." Web.
1. . GRADIENT BASED EVOLUTION TO OPTIMIZE THE STRUCTURE OF CONVOLUTIONAL NEURAL NETWORKS [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3401