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The Development of Deep Learning Technologies

full materialization of AI. Focusing on the development of deep learning technologies, this book also discusses global trends, the status;

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Using Emerging Technologies to Develop Professional Learning

the roles that these emerging technologies can play in teacher, and teacher educator, development and learning. This book aims to address;

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Deep Learning For Dummies

Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business;

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Applications of Artificial Intelligence in Process Systems Engineering

engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases.

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Deep Learning from the Basics: Python and Deep Learning

your machines to see by mastering the technologies required for image recognition Book DescriptionDeep learning is rapidly becoming the most;

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Strategies for Deep Learning with Digital Technology

technologies like virtual reality, artificial intelligence, and 3D visualization provide the platform for deep learning in an educational setting more;

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Deep Learning for Hyperspectral Image Analysis and Classification

architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer;

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Deep Learning for Hyperspectral Image Analysis and Classification

architectures to solve specific tasks in different application fields. On the other hand, the authors want to target the machine learning and computer;

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Deep Learning for Personalized Healthcare Services

learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding;

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Concepts and Real-Time Applications of Deep Learning

concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning;

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Handbook of Deep Learning in Biomedical Engineering and Health Informatics: Biomedical Engineering

in biomedical deep learning systems Includes informative case studies that help to explain the new technologies;

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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021)

The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed;

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Beginning Deep Learning with TensorFlow

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

educators seeking coverage on the specific development of iOS mobile applications using pattern recognition strategies.;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

educators seeking coverage on the specific development of iOS mobile applications using pattern recognition strategies.;

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Deep Learning Approaches to Cloud Security

just the practical applications of these technologies, but also the broader concepts and theory behind how these deep learning tools are vital;

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Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference

discussed, while improved methods and wholly new methods for using deep learning technologies are also presented. The topics covered are;

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Inventive Computation Technologies

With the intriguing development of technologies in several industries, along with the advent of ubiquitous computational resources, there;

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State of the Art in Neural Networks and Their Applications

applications across a wide range of clinical diagnoses. Advances in the role of machine learning, artificial intelligence, deep learning, cognitive;

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Beginning Deep Learning with TensorFlow

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as;

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Data Driven Smart Manufacturing Technologies and Applications

to address increasingly dynamic markets. In recent years, the development of innovative deep learning and big data analytics algorithms;

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Deep Learning Projects Using TensorFlow 2

Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will;

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Deep Learning with R

challenging subject, new technologies make it much easier to get started than ever before. The Keras deep learning library featured in this book puts;

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Advanced Deep Learning for Engineers and Scientists

applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for;

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Deep Learning with TensorFlow

historical development and progress of deep learning * Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x;

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Deep Learning and Artificial Intelligence

Welcome to this book on Deep Learning and Neural Networks. We're going to be diving into what neural networks are, what the current neural;

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Deep Learning and Artificial Intelligence

Welcome to this book on Deep Learning and Neural Networks. We're going to be diving into what neural networks are, what the current neural;

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