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Advances in Deep Learning, Volume 2 : Studies in Big Data : Book 12 - M. Arif Wani

Advances in Deep Learning, Volume 2

By: M. Arif Wani, Bisma Sultan, Sarwat Ali, Mukhtar Ahmad Sofi

eText | 2 May 2025

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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.

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