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Advances in Deep Learning, Volume 2 / by M. Arif Wani, Bisma Sultan, Sarwat Ali, Mukhtar Ahmad Sofi

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Studies in Big Data ; 12Publisher: Singapore : Springer Nature Singapore, 2025Publisher: Singapore : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XVI, 182 p. 93 illus., 61 illus. in color.)ISBN:
  • 9789819634989
Subject(s): Additional physical formats: 9789819634972 | 9789819634996 | 9789819635009 | Erscheint auch als: 9789819634972 Druck-Ausgabe | Erscheint auch als: 9789819634996 Druck-Ausgabe | Erscheint auch als: 9789819635009 Druck-AusgabeDDC classification:
  • 006.3 23
DOI: DOI: 10.1007/978-981-96-3498-9Online resources: Summary: Introduction to Deep Learning Architectures -- Evolutionary Algorithm-based Neural Architecture SearchEvolutionary Algorithm-based Neural Architecture Search -- Gradient-based Neural Architecture Search.Summary: 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.PPN: PPN: 1924770075Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-INR | ZDB-2-SXIT
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