Unveiling Interpretability: Analyzing Transfer Learning in Deep Learning Models for Traffic Sign Recognition.
Sadaf WaziryJawad RasheedFahad Mahmoud GhabbanShtwai AlsubaiHarun ElkiranAbdullah AlqahtaniPublished in: SN Comput. Sci. (2024)
Keyphrases
- learning models
- transfer learning
- learning tasks
- semi supervised learning
- machine learning algorithms
- machine learning
- learning algorithm
- learning problems
- labeled data
- cross domain
- knowledge transfer
- unlabeled data
- active learning
- multi task
- structure learning
- collaborative filtering
- transfer knowledge
- text categorization
- text classification
- classification models
- reinforcement learning
- loss function
- target domain
- learning experience
- conditional random fields
- unsupervised learning
- text mining
- supervised learning
- generative model
- feature vectors
- decision trees