Advances in Deep Learning, Volume 2 (Studies in Big Data)

Wani, M. Arif/ Sultan, Bisma/ Ali, Sarwat

Springer Nature Switzerland AG（2025/05発売）

• 製本 Hardcover:ハードカバー版／ページ数 184 p.
• 言語 ENG
• 商品コード 9789819634972

Full Description

This book describes novel ways of using deep learning to solve real-world problems. It covers advanced deep learning topics like neural architecture search, ensemble deep learning, transfer learning techniques, lightweight architectures, hybrid deep learning approaches, and generative adversarial networks. The book discusses the use of these advanced topics in selected applications like image classification, object detection, image steganography, protein secondary structure prediction, and gene expression data classification. Various challenges and future research directions falling under the scope of these topics are discussed.

Contents

Introduction to Deep Learning Architectures.- Evolutionary Algorithm-based Neural Architecture SearchEvolutionary Algorithm-based Neural Architecture Search.- Gradient-based Neural Architecture Search.