Author:
Agrawal Neha,Aurelia Sagaya
Reference14 articles.
1. https://subscription.packtpub.com/book/data/9781788392303/6/ch06lvl1sec39/convolutional-autoencoder
2. Zhai, J., Zhang, S., Chen, J., He, Q.: Autoencoder and its various variants. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Miyazaki, Japan, 2018, pp. 415–419 (2018). https://doi.org/10.1109/SMC.2018.00080
3. Yuan, F.-N., Zhang, L., Shi, J.-T, Xia, X., Li, G.: Theories and applications of auto-encoder neural networks: a literature survey. Jisuanji Xuebao/Chin. J. Comput. 42. 203–230 (2019). https://doi.org/10.11897/SP.J.1016.2019.00203.
4. Meng, Q., Catchpoole, D., Skillicom, D., Kennedy, P.J.: Relational autoencoder for feature extraction. In: 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, 2017, pp. 364–371 (2017). https://doi.org/10.1109/IJCNN.2017.7965877.
5. Vincent, P., Larochelle, H., Lajoie, I., Bengio, Y., Manzagol, P.: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion. J. Mach. Learn. Res. 11, 3371–3408 (2010)
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