TY  - BOOK
AU  - Yan, Wei Qi.
TI  - Computational Methods for Deep Learning
SN  - 9789819948239
U1  - 6.31 
PY  - 2023///
CY  - Singapore 
PB  - Springer Nature Singapore 
KW  - Artificial intelligence
KW  - Artificial Intelligence
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Computer science
KW  - Computer vision
KW  - Image processing
KW  - Machine learning
KW  - Machine Learning
KW  - Mathematical Models of Cognitive Processes and Neural Networks
KW  - Mathematics of Computing
KW  - Neural networks (Computer science) 
N2  - The first edition of this textbook was published in 2021. Over the past two years, we have invested in enhancing all aspects of deep learning methods to ensure the book is comprehensive and impeccable. Taking into account feedback from our readers and audience, the author has diligently updated this book. 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
UR  - https://doi.org/10.1007/978-981-99-4823-9
ER  -