Understanding Training Efficiency of Deep Learning Recommendation Models at Scale.
Bilge AcunMatthew MurphyXiaodong WangJade NieCarole-Jean WuKim M. HazelwoodPublished in: HPCA (2021)
Keyphrases
- deep learning
- deep architectures
- restricted boltzmann machine
- unsupervised learning
- probabilistic model
- supervised learning
- decision support system
- unsupervised feature learning
- deep belief networks
- training examples
- pairwise
- model selection
- data sets
- dimensionality reduction
- user preferences
- training set
- pattern recognition
- decision trees
- learning algorithm