This paper systematically sorts out and analyzes the application progress of four deep learning methods, namely RNN, LSTM, CNN and Transformer, elaborating on their technical principles, advantages, application scenarios and limitations, and points out the common problems of all these models.
Guo-Ji Yang, You-Hang Zhou, Lingang Shao et al.· International Conference on...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.