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Springer Deep Learning: Algorithms and Applications 865 Book

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Description

Master the complexities of modern artificial intelligence with Deep Learning: Algorithms and Applications, part of the Studies in Computational Intelligence series. This comprehensive volume provides a deep look into the design process of various deep-learning algorithms, offering a practical guide for those looking to build and deploy effective solutions. Instead of focusing solely on theory, this book helps readers understand how to match specific algorithms with the actual nature of the learning problems they face. It is designed for anyone seeking practical knowledge in the analysis, design, and deployment of deep learning models to solve real-world challenges. The content covers a broad spectrum of applications, making it a versatile resource for professionals and students alike. You will explore how these technologies are applied in critical fields such as imaging, seismic tomography, smart grids, surveillance, and security. Whether you are working on data analysis or system deployment, this text provides the technical foundation needed to navigate the current landscape of machine learning.

Key Features

Covers a wide range of deep-learning algorithms and their specific design processes for practical implementation.

Provides guidance on matching algorithms with the essential characteristics of real-world learning problems.

Focuses on the practical analysis, design, and deployment of deep learning solutions for real-world use.

Explores diverse application areas including imaging, seismic tomography, and smart grids.

Includes specialized content regarding the use of deep learning in surveillance and security sectors.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
04 November 2020
Listed Since
08 October 2020

Barcode

No barcode data available

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