Deep learning : fundamentals, theory and applications /: fundamentals, theory and applications. ([2019])

• Record Type: Book
• Further Information: Note: Editors, Kaizhu Huang, Amir Hussain, Qiu-Feng Wang and Rui Zhang.
• Editors: Huang, Kaizhu; Hussain, A (Amir); Wang, Qiu-Feng; Zhang, Rui
• Contents: Preface1. Introduction to Deep Density Models with Latent Variables Xi Yang, Kaizhu Huang, Rui Zhang, and Amir Hussain2. Deep RNN Architecture: Design and Evaluation Tonghua Su, Li Sun, Qiu-Feng Wang, and Da-Han Wang 3. Deep Learning Based Handwritten Chinese Character and Text Recognition Xu-Yao Zhang, Yi-Chao Wu, Fei Yin, and Cheng-Lin Liu 4. Deep Learning and Its Applications to Natural Language Processing Haiqin Yang, Linkai Luo, Lap Pong Chueng, David Ling, and Francis Chin 5. Deep Learning for Natural Language Processing Jiajun Zhang and Chengqing Zong6. Oceanic Data Analysis with Deep Learning Models Guoqiang Zhong, Li-Na Wang, Qin Zhang, Estanislau Lima, Xin Sun, Junyu Dong, Hui Wang, and Biao Shen Index.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Extent: 1 online resource, illustrations
• Subjects: 006.31; Machine learning; Artificial intelligence; Neural networks (Computer science); COMPUTERS / General; Electronic books
• Languages: English
• ISBNs: 9783030060732
• Related ISBNs: 303006073X; 9783030060725
• Notes: Note: Includes bibliographical references and index.; Note: Online resource; title from PDF title page (EBSCO, viewed February 20, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.