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The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism.
Yosuke Oyama
Naoya Maruyama
Nikoli Dryden
Erin McCarthy
Peter Harrington
Jan Balewski
Satoshi Matsuoka
Peter Nugent
Brian Van Essen
Published in:
CoRR (2020)
Keyphrases
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deep learning
deep architectures
restricted boltzmann machine
unsupervised feature learning
deep belief networks
unsupervised learning
training set
weakly supervised
training examples
training samples
mental models
machine learning
higher order
online learning
generative model