Genetic algorithm based approach to compress and accelerate the trained Convolution Neural Network model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s13042-022-01768-4.pdf
Reference39 articles.
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3. Agarwal M, Gupta SK, Biswas K (2021) Plant leaf disease segmentation using compressed unet architecture. In: Trends and applications in knowledge discovery and data mining: PAKDD 2021 Workshops, WSPA, MLMEIN, SDPRA, DARAI, and AI4EPT, Delhi, India, May 11, 2021 Proceedings 25, pp 9–14. Springer International Publishing
4. Anwar S, Hwang K, Sung W (2017) Structured pruning of deep convolutional neural networks. ACM J Emerg Technol Comput Syst (JETC) 13(3):1–18
5. Bac FQ, Perov V (1993) New evolutionary genetic algorithms for NP-complete combinatorial optimization problems. Biol Cybern 69(3):229–234
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