説明
This volume delves into the innovative applications of deep learning, showcasing the latest advances and research in the field. It highlights a collection of carefully curated papers from a prominent IEEE conference, reflecting the evolving landscape of deep learning technologies.
The chapters encapsulate a wide array of topics, emphasizing real-world applications and their impact on various industries. Readers are introduced to cutting-edge methodologies and case studies that demonstrate deep learning's transformative power, offering insights for both seasoned researchers and newcomers to the field.
Through the contributions of M. Arif Wani and Vasile Palade, this work serves as a comprehensive resource for understanding how deep learning is shaping the future. It invites readers to explore the intricate relationship between technology and practical implementation in today's data-driven world.
The chapters encapsulate a wide array of topics, emphasizing real-world applications and their impact on various industries. Readers are introduced to cutting-edge methodologies and case studies that demonstrate deep learning's transformative power, offering insights for both seasoned researchers and newcomers to the field.
Through the contributions of M. Arif Wani and Vasile Palade, this work serves as a comprehensive resource for understanding how deep learning is shaping the future. It invites readers to explore the intricate relationship between technology and practical implementation in today's data-driven world.
本の詳細
形式
ペーパーバック
ページ数
398ページ
言語
英語
公開されました
Nov 26, 2022
出版社
Springer
ISBN-10
9811961522
ISBN-13
9789811961526