Deep Learning: Fundamentals, Theory and Applications (Hardcover, 2019)

Preface 1. Introduction to Deep Density Models with Latent Variables Xi Yang, Kaizhu Huang, Rui Zhang, Amir Hussain 2. Deep LSTM Architecture: Design and Evaluation Tonghua Su, Li Sun, Qiu-Feng Wang, Da-Han Wang 3. Deep Learning based Handwritten Chinese Character and Text Recognition Xu-Yao Zhang, Yi-Chao Wu, Fei Yin, Cheng-Lin Liu 4. Deep Learning and its Applications to Natural Language Processing Haiqin Yang, Linkai Luo, Lap Pong Chueng, David Ling, Francis Chin 5. Deep Learning for Natural Language Processing Jiajun Zhang 6. Oceanic Data Analysis with Deep Learning Models Guoqiang Zhong, Li-Na Wang, Qin Zhang, Estanislau Lima, Xin Sun, Junyu Dong, Hui Wang, Biao Shen Index.