1. Zhang, Y.: A better autoencoder for image: Convolutional autoencoder. ICONIP17-DCEC. Available online http://users.cecs.anu.edu.au/Tom.Gedeon/conf/ABCs2018/paper/ABCs2018_paper_58.pdf. (Accessed on 23 March 2017). (2018)
2. Bank, D., Noam, K., Raja, G.: Autoencoders. arXiv preprint arXiv:2003.05991. (2020)
3. Badr, W.: Auto-encoder: What is it? And what is it used for? (Part 1). Medium, (2021). https://towardsdatascience.com/auto-encoder-what-is-it-and-what-is-it-used-for-part-1-3e5c6f017726
4. Dataman., Kuo, C.: Convolutional autoencoders for image noise reduction.Medium, (2022). towardsdatascience.com/convolutional-autoencoders-for-image-noise-reduction-32fce9fc1763
5. Zhang, C., et al.: Optimizing FPGA-based accelerator design for deep convolutional neural networks. In: Proceedings of the 2015 ACM/SIGDA international symposium on field-programmable gate arrays. (2015)