Selective layer tuning and performance study of pre-trained models using genetic algorithm

HIGHLIGHTS

• who: Jae-Cheol Jeong et al. from the Department of Biomedical Engineering, Chonnam National University Hospital, Gwangju, Korea have published the research work: Selective Layer Tuning and Performance Study of Pre-Trained Models Using Genetic Algorithm, in the Journal: Electronics 2022, 2985 of 21/09/2022
• what: The authors propose trainable layers using genetic algorithm on pre-trained model that is fine-tuned on single-channel image datasets for classification task. To fill in the literature gap, this study proposes a search procedure that assists pre-trained models when fine-tuning to solve a new . . .
  

   

  

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