Impact of Learning Rate on Noise Resistant Property of Deep Learning Models.
Omobayode FagbohungbeLijun QianPublished in: CoRR (2022)
Keyphrases
- transfer learning
- learning models
- learning rate
- learning algorithm
- noise resistant
- learning tasks
- machine learning algorithms
- semi supervised learning
- machine learning
- active learning
- reinforcement learning
- learning problems
- convergence rate
- rapid convergence
- convergence speed
- adaptive learning rate
- training data
- supervised learning
- classification models
- loss function
- similarity measure
- learning process
- training set
- support vector
- conditional random fields
- global optimization
- text mining
- semi supervised
- information extraction