Advances in Deep Learning, Volume 2

Gebonden EN 2025 9789819634972

€ 228,28

In winkelwagen

Levertijd ongeveer 16 werkdagen

Gratis verzonden

Samenvatting

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.