FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?
Anouar NechiLukas GrothSaleh MulhemFarhad MerchantRainer BuchtyMladen BerekovicPublished in: ACM Trans. Reconfigurable Technol. Syst. (2023)
Keyphrases
- deep learning
- field programmable gate array
- unsupervised feature learning
- unsupervised learning
- machine learning
- weakly supervised
- deep architectures
- bayesian networks
- restricted boltzmann machine
- hardware implementation
- mental models
- deep belief networks
- text mining
- data sets
- natural images
- general purpose
- topic models
- multiscale