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Reduced Precision Strategies for Deep Learning: A High Energy Physics Generative Adversarial Network Use Case.
Florian Rehm
Sofia Vallecorsa
Vikram A. Saletore
Hans Pabst
Adel Chaibi
Valeriu Codreanu
Kerstin Borras
Dirk Krücker
Published in:
ICPRAM (2021)
Keyphrases
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deep learning
high energy physics
unsupervised learning
unsupervised feature learning
machine learning
deep architectures
wireless sensor networks
supervised learning
generative model
feature selection
decision making
data sets
mental models
sensor networks
training set
pattern recognition
data mining