£107.98

Springer Deep Learning: Fundamentals, Theory and Applications

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Description

Expand your knowledge of artificial intelligence with Deep Learning: Fundamentals, Theory and Applications. Published by Springer, this volume is part of the Cognitive Computation Trends series (Volume 2). This book provides a structured approach to understanding the core principles and practical uses of deep learning technologies. Designed for those studying computer science and machine learning, this text offers a clear path through the complex landscape of cognitive computation. It serves as a valuable resource for students and professionals looking to build a strong foundation in AI-driven systems and computational trends. Whether you are researching new methodologies or looking to understand the theoretical frameworks of modern neural networks, this Springer publication provides the necessary academic depth for your studies.

Key Features

Part of the Cognitive Computation Trends series, specifically volume 2, for focused academic study.

Published by Springer, a trusted name in scientific and technical literature.

Covers essential fundamentals and theoretical frameworks within the field of deep learning.

Provides insights into the practical applications of machine learning and AI technologies.

Designed for readers interested in computer science, AI, and machine learning subjects.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 March 2019
Listed Since
19 November 2018

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