Leveraging Stochasticity for In Situ Learning in Binarized Deep Neural Networks.
Steven D. PyleJustin D. SappRonald F. DeMaraPublished in: Computer (2019)
Keyphrases
- neural network
- learning process
- neural nets
- pattern recognition
- artificial neural networks
- feedforward neural networks
- learning tasks
- learning algorithm
- learning problems
- learning systems
- machine learning
- recurrent networks
- knowledge acquisition
- input image
- prior knowledge
- reinforcement learning
- feed forward
- recurrent neural networks
- incremental learning
- support vector
- learning community
- learning scheme
- learning capabilities
- training data
- error back propagation
- cascade correlation