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

• Autore: Wani M. Arif
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XVI, 186 p. 94 illus., 62 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Big data; Neural networks (Computer science); Image processing - Digital techniques; Computer vision; Artificial intelligence; Computational Intelligence; Big Data; Mathematical Models of Cognitive Processes and Neural Networks; Computer Imaging, Vision, Pattern Recognition and Graphics; Artificial Intelligence
• Persona (resp. second.): SultanBisma; AliSarwat; SofiMukhtar Ahmad
• Nota di contenuto: Introduction to Deep Learning Architectures -- Evolutionary Algorithm-based Neural Architecture SearchEvolutionary Algorithm-based Neural Architecture Search -- Gradient-based Neural Architecture Search.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Deep Learning, Volume 2
• ISBN: 981-9634-98-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911001462703321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Big Data, . 2197-6511 ; ; 12