Shuhao Wang, Gang Xu

Broschiertes Buch

Deep Learning

From Algorithmic Essence to Industrial Practice

Beschreibung

Deep Learning: From Algorithmic Essence to Industrial Practice serves as a comprehensive guide, bridging the gap between foundational theories and real-world implementation. The book delves into the mechanisms behind deep learning models, breaking down complex algorithms into digestible explanations. Engineering students, AI enthusiasts, and professionals alike will find this resource invaluable as it navigates the intricacies of training neural networks, optimizing performance, and effectively deploying them in various sectors. Beyond theoretical knowledge, the book emphasizes practical applications, showcasing how deep learning powers advancements in fields like healthcare, finance, and autonomous systems. It also discusses the challenges of scaling models, the ethical considerations surrounding AI, and the future trajectory of this transformative technology. With its blend of academic rigor and industrial insights, this book equips readers with the tools to innovate and lead in the ever-evolving world of artificial intelligence.

Autor

Dr Shuhao Wang received his from Tsinghua University; he is a fellow at the Institute for Interdisciplinary Information Sciences at Tsinghua University and is currently the co-founder and CTO of 'Thorough Future.' He has conducted research on data science and artificial intelligence at Baidu, NovuMind, and JD.com. He holds over 20 national patents. Dr. Wang has received several key accolades, such as the "30 New Generation Digital Economy Talents" award at the 2019 Wuzhen Internet Summit and the Year 2022 Fall Asia-Pacific Signal and Information Processing Association Industrial Distinguished Leaders award, and was named one of Alibaba Cloud's "Seeing New Power" figures of 2022

Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 472
• Erscheinungstermin: 25. Juli 2025
• Englisch
• ISBN-13: 9780443439544
• ISBN-10: 0443439540
• Artikelnr.: 73490657