The effects of output codes on transfer learning in a deep convolutional neural net.
Steven GutsteinEthan StumpPublished in: IJCNN (2017)
Keyphrases
- transfer learning
- neural nets
- learning tasks
- deep learning
- knowledge transfer
- machine learning
- reinforcement learning
- feed forward
- cross domain
- active learning
- labeled data
- machine learning algorithms
- restricted boltzmann machine
- multi task
- neural network
- back propagation
- counter propagation
- learning algorithm
- text classification
- manifold alignment
- semi supervised learning
- collaborative filtering
- artificial neural networks
- transfer knowledge
- feature selection
- domain adaptation
- text categorization
- artificial intelligence
- target domain
- text mining
- feature extraction
- graphical models