Advances deep learning de wani (59 resultados)

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Condición: New. pp. XIV, 149 87 illus., 53 illus. in color. 1st ed. 2020 edition NO-PA16APR2015-KAP.

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Condición: New. Dr. Uche Onyekpe is a Machine Learning Expert at Ofcom (Office of Communications, UK), where he focuses on developing assessment/audit strategies for AI algorithms used by online platforms such as Instagram, TikTok, and X. He also serves as the Di.

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Condición: New. pp. XIV, 149 87 illus., 53 illus. in color.

Condición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.

Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Hardcover. Condición: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

Condición: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.

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Taschenbuch. Condición: Neu. Advances in Deep Learning, Volume 2 | M. Arif Wani (u. a.) | Taschenbuch | Studies in Big Data | xvi | Englisch | 2026 | Springer | EAN 9789819635009 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. …

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

Hardback. Condición: New. This book presents a collection of rigorously revised papers selected from the 22nd IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2023). It focuses on deep learning architectures and their applications in domains such as health care, security and threat detection, education, fault diagnosis, and robotic control in industrial environments. Novel ways of using convolutional neural networks, transformers, autoencoders, graph-based neural networks, and large language models for the above applications are covered in this book. Readers will find insights to help them realize novel ways of using deep learning architectures and models in real-world applications and contexts, making this book an essential reference guide for academic researchers, professionals, software engineers in the industry, and innovative product developers. Key Features:Presents state-of-the-art research on deep learningCovers modern real-world applications of deep learningProvides value to students, academic researchers, professionals, software engineers in the industry, and innovative product developers. …

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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces readers to both basic and advanced concepts in deep network models. It covers state-of-the-art deep architectures that many researchers are currently using to overcome the limitations of the traditional artificial neural networks. Various deep architecture models and their components are discussed in detail, and subsequently illustrated by algorithms and selected applications. In addition, the book explains in detail the transfer learning approach for faster training of deep models; the approach is also demonstrated on large volumes of fingerprint and face image datasets. In closing, it discusses the unique set of problems and challenges associated with these models.…

Hardcover. Condición: Brand New. 376 pages. 9.18x6.12x9.45 inches. In Stock.