You might also like

More about Computational Methods for Deep Learning

• Book details
• Synopsis
• Trending among others

You get 220 loyalty points

Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Computational Methods for Deep Learning
• Subtitle: Theory, Algorithms, and Implementations
• Author: Wei Qi Yan
• Language: English
• Binding: Hardback
• Number of pages: 244
• EAN: 9789819948222
• ID: 43680687
• Publisher: Springer, Berlin
• Weight: 516 g
• Dimensions: 235 × 155 mm
• Date of publishing: 30. September 2023

---

---

---