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End-to-end Deep Learning of Optical Fiber Communications.
Boris Karanov
Mathieu Chagnon
Félix Thouin
Tobias A. Eriksson
Henning Bülow
Domaniç Lavery
Polina Bayvel
Laurent Schmalen
Published in:
CoRR (2018)
Keyphrases
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end to end
deep learning
optical fiber
high sensitivity
unsupervised learning
unsupervised feature learning
machine learning
communication systems
weakly supervised
congestion control
mental models
multipath
ad hoc networks
data sets
communication networks
object recognition
feature extraction
real world