Evaluating Embedded FPGA Accelerators for Deep Learning Applications.
Gopalakrishna Hegde SiddharthaNachiappan RamasamyVamsi BuddhaNachiket KaprePublished in: FCCM (2016)
Keyphrases
- deep learning
- field programmable gate array
- embedded systems
- unsupervised learning
- single chip
- machine learning
- unsupervised feature learning
- hardware implementation
- mental models
- restricted boltzmann machine
- deep architectures
- low cost
- computing systems
- weakly supervised
- learning algorithm
- data mining
- signal processing
- online learning
- graph cuts
- higher order
- high dimensional
- data sets