A comparative study of fine-tuning deep learning models for plant disease identification.
Edna Chebet TooLi YujianSam NjukiLiu YingchunPublished in: Comput. Electron. Agric. (2019)
Keyphrases
- learning models
- fine tuning
- machine learning
- learning tasks
- learning algorithm
- semi supervised learning
- loss function
- learning problems
- viable alternative
- fine tune
- classification models
- machine learning algorithms
- fine tuned
- learning paradigms
- conditional random fields
- machine learning models
- object recognition
- prior knowledge
- data sets
- information retrieval