Exploring the Effects of Silent Data Corruption in Distributed Deep Learning Training.
Elvis RojasDiego PérezEsteban MenesesPublished in: SBAC-PAD (2022)
Keyphrases
- deep learning
- deep architectures
- data corruption
- restricted boltzmann machine
- unsupervised learning
- machine learning
- deep belief networks
- unsupervised feature learning
- supervised learning
- distributed systems
- mental models
- training examples
- weakly supervised
- training set
- peer to peer
- online learning
- computer vision
- maximum likelihood
- object detection
- data mining