Can I read Mission-Oriented Sensor Networks and Systems: Art and Science: Volume 2: Advances (Studies in Systems, Decision and Control (164)) on EtoBox?

Mission-Oriented Sensor Networks and Systems: Art and Science: Volume 2: Advances (Studies in Systems, Decision and Control (164)) by Habib M. Ammari, D. Frank Hsu, Damian M. Lyons, David S. L. Wei, Gary M. Weiss is a nonfiction available to read on EtoBox.

What is Mission-Oriented Sensor Networks and Systems: Art and Science: Volume 2: Advances (Studies in Systems, Decision and Control (164)) about?

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artefacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique that combines class of learning algorithms with the use of many layers of nonlinear units, has gained considerable attention in recent times. Unlike other books on the market, this volume addresses the challenges of deep learning implementation, computation time, and the complexity of reasoning and modeling different type of data. As such, it is a valuable and comprehensive resource for engineers, researchers, graduate students and Ph.D. scholars.

Who reads Mission-Oriented Sensor Networks and Systems: Art and Science: Volume 2: Advances (Studies in Systems, Decision and Control (164))?

Author

Habib M. Ammari, D. Frank Hsu, Damian M. Lyons, David S. L. Wei, Gary M. Weiss

Publisher

Springer International Publishing : Imprint : Springer

Published

2019

Language

EN

ISBN

9783319923833

Category

nonfiction

Subjects

Engineering, Stem