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On the Computational Power of Convolution Pooling: A Theoretical Approach for Deep Learning.
Koji Nakano
Shotaro Aoki
Yasuaki Ito
Akihiko Kasagi
Published in:
IPDPS Workshops (2021)
Keyphrases
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computational power
deep learning
parallel processing
unsupervised learning
machine learning
computing power
unsupervised feature learning
mental models
restricted boltzmann machine
image processing
weakly supervised
hardware architectures
deep architectures
active learning
higher order