Transfer learning considering the impact of data augmentation on each layer of the source model.
Takahiro KurodaHajime NobuharaPublished in: SCIS/ISIS (2022)
Keyphrases
- transfer learning
- prior knowledge
- data sets
- labeled data
- probability distribution
- data analysis
- data sources
- semi supervised learning
- test data
- training data
- learning tasks
- probabilistic model
- unlabeled data
- data distribution
- machine learning
- network structure
- learned models
- learning models
- knowledge transfer
- knowledge discovery
- decision trees
- neural network