On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves.
Malliga SubramanianKogilavani ShanmugavadivelP. S. NandhiniPublished in: Neural Comput. Appl. (2022)
Keyphrases
- fine tuning
- transfer learning
- learning models
- learning tasks
- hyperparameters
- semi supervised learning
- machine learning
- machine learning algorithms
- model selection
- learning problems
- labeled data
- learning algorithm
- cross validation
- support vector
- random sampling
- semi supervised
- bayesian framework
- closed form
- reinforcement learning
- active learning
- prior information
- bayesian inference
- em algorithm
- loss function
- maximum likelihood
- text classification
- collaborative filtering
- multi task
- text mining
- text categorization
- sample size
- supervised learning
- noise level
- data mining
- maximum a posteriori
- missing values
- classification models
- unlabeled data
- image processing
- computer vision
- image segmentation