01335 a2200205 4500 20260902123016.0 9789819948222 004.85 YAN Yan, Wei Qi. 4016 Computational methods for deep learning: theory, algorithms, and implementations / by Wei Qi Yan 2nd edition. Singapore: Springer Nature, 2023. xx, 222 p. 24 cm. Texts in computer science 4017 The second edition of this textbook presents control theory, transformer models, and graph neural networks (GNN) in deep learning. We have incorporated the latest algorithmic advances and large-scale deep learning models, such as GPTs, to align with the current research trends. Through the second edition, this book showcases how computational methods in deep learning serve as a dynamic driving force in this era of artificial intelligence (AI). This book is intended for research students, engineers, as well as computer scientists with interest in computational methods in deep learning. Furthermore, it is also well-suited for researchers exploring topics such as machine intelligence, robotic control, and related areas. Deep learning 4021 Machine intelligence 4019 Robotic control 4020 REF 5627 5622 0 0 udc 0 0 REF 89.99 EU 01/09/2026 Shanti Books PO.NO.IIITDMK/2026-27/LIB/BKS/04 01/07/2026 3685 23/07/2026 10110.38 30 IIITDM IIITDM REF 2026-09-01 0 004.85 YAN 0008247 2026-09-02 12:34:00 2026-09-01 REF CSE