Hybrid Contractive Auto-encoder with Restricted Boltzmann Machine For Multiclass Classification

Author:

Aamir MuhammadORCID,Nawi Nazri Mohd,Wahid Fazli,Zada Muhammad Sadiq Hasan,Rehman M. Z.,Zulqarnain Muhammad

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference56 articles.

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2. Aamir, M.; Nawi, N.M.; Wahid, F.; Mahdin, H.: A deep contractive autoencoder for solving multiclass classification problems. In: Evolutionary Intelligence, pp. 1–15 (2020).

3. Aamir, M.; Wahid, F.; Mahdin, H.; Nawi, N.M.: An efficient normalized restricted boltzmann machine for solving multiclass classification problems. Int. J. Adv. Comput. Sci. Appl. 10, 8 (2019)

4. Aamir, M.; Nawi, N.M.; Mahdin, H.B.; Naseem, R.; Zulqarnain, M.: Auto-encoder variants for solving handwritten digits classification problem. Int. J. Fuzzy Logic Intell. Syst. 20(1), 8–16 (2020)

5. Abadi, M.; Barham, P.; Chen, J.; Chen, Z.; Davis, A.; Dean, J.; Devin, M.; Ghemawat, S.; Irving, G.; Isard, M. et al.: Tensorflow: A system for large-scale machine learning. In: 12th $$\{$$USENIX$$\}$$ Symposium on Operating Systems Design and Implementation ($$\{$$OSDI$$\}$$ 16), pp. 265–283 (2016).

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