Understanding the Limits of Conventional Hardware Architectures for Deep-Learning.

Michael Davies Adam Labiosa Karthikeyan Sankaralingam

Published in: CoRR (2021)

Keyphrases

deep learning
hardware architectures
unsupervised learning
unsupervised feature learning
machine learning
weakly supervised
hardware architecture
mental models
computational power
high dimensional
image processing
active learning
supervised learning
markov random field