Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification

Author:

Huynh Phuoc-Hai1ORCID,Quach Luyl-Da2ORCID,Le Lan Thi Thu2ORCID,Doan Thanh-Nghi1ORCID

Affiliation:

1. Faculty of Information Technology, An Giang University, Vietnam

2. Software Engineering Dept., FPT University, Vietnam

Publisher

ACM

Reference26 articles.

1. Leo Breiman . 2001. Random forests. Machine learning 45 ( 2001 ), 5–32. Leo Breiman. 2001. Random forests. Machine learning 45 (2001), 5–32.

2. Tianqi Chen , Tong He , Michael Benesty , Vadim Khotilovich , Yuan Tang , Hyunsu Cho , Kailong Chen , Rory Mitchell , Ignacio Cano , Tianyi Zhou , 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1, 4 ( 2015 ), 1–4. Tianqi Chen, Tong He, Michael Benesty, Vadim Khotilovich, Yuan Tang, Hyunsu Cho, Kailong Chen, Rory Mitchell, Ignacio Cano, Tianyi Zhou, 2015. Xgboost: extreme gradient boosting. R package version 0.4-2 1, 4 (2015), 1–4.

3. Francois Chollet . 2021. Deep learning with Python . Simon and Schuster . Francois Chollet. 2021. Deep learning with Python. Simon and Schuster.

4. Fine-tuning Deep Network Models for Classifying Fingerprint Images

5. Learning Deep Transferability for Several Agricultural Classification Problems

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