In the third part, a series of deep models including deep unfolding (Chien and Lee, 2018) , Bayesian RNN (Gal and Ghahramani, 2016; Chien and Ku, 2016) , sequence-to-sequence learning (Graves et al., 2006; Gehring et al., 2017) , CNN (<cite>Kalchbrenner et al., 2014</cite>; Xingjian et al., 2015; , GAN (Tsai and Chien, 2017) and VAE are introduced.