Hyperparameters’ Optimization of Convolutional Neural Network Using Diversity-Guided Genetic Algorithms for Image Classification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9531-8_24
Reference24 articles.
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3. Chauhan R, Ghanshala KK, Joshi RC (2018) Convolutional neural network (CNN) for image detection and recognition. First Int Conf Secure Cyber Comput Commun (ICSCCC) 2018:278–282. https://doi.org/10.1109/ICSCCC.2018.8703316
4. Borgli RJ, Kvale Stensland H, Riegler MA, Halvorsen P (2019) Automatic hyperparameter optimization for transfer learning on medical image datasets using bayesian optimization. In: 2019 13th international symposium on medical information and communication technology (ISMICT), pp 1–6. https://doi.org/10.1109/ISMICT.2019.8743779
5. Xiao X, Yan M, Basodi S, Ji C, Pan Y (2020) Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm
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