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Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures.
Yujing Ma
Florin Rusu
Kesheng Wu
Alexander Sim
Published in:
IPDPS Workshops (2021)
Keyphrases
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deep learning
stochastic gradient descent
matrix factorization
loss function
unsupervised learning
least squares
machine learning
step size
weakly supervised
data mining
mental models
support vector machine
regularization parameter