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Concepts and Real-Time Applications of Deep Learning

, innovations and latest technologies; Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.;

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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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Deep Learning from the Basics: Python and Deep Learning

Discover ways to implement various deep learning algorithms by leveraging Python and other technologies Key Features Learn deep;

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Applications of Artificial Intelligence in Process Systems Engineering

intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and;

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Advanced Machine Learning Technologies and Applications

This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications;

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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

technologies in various industries, such as education, health, transportation, and security, combine IoT with deep learning for complex problem solving;

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

series, blockchain technologies and applications, data security, deep learning, and Internet of Things.;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

Deep learning has become a trending area of research due to its adaptive characteristics and high levels of applicability. In recent years;

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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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State of the Art in Neural Networks and Their Applications

networks, AI, machine learning, and deep learning techniques to a variety of imaging technologies Provides in-depth technical coverage;

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Data Driven Smart Manufacturing Technologies and Applications

This book reports innovative deep learning and big data analytics technologies for smart manufacturing applications. In this book;

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Deep Learning with R

Description Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image;

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Cognitive Computing Using Green Technologies

, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies;

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Wind Forecasting in Railway Engineering

Wind Forecasting in Railway Engineering presents core and leading-edge technologies in wind forecasting for railway engineering. The;

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Renewable Energy and Future Power Systems

This book discusses advanced technologies for applications in renewable energy and power systems. The topics covered include neural network;

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Deep Learning and Parallel Computing Environment for Bioengineering Systems

Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement;

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The Development of Deep Learning Technologies

extraction and transformation. The extensive use and huge success of deep learning in speech, CV, and NLP have led to significant advances toward the;

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Intelligent Technologies and Applications

This book constitutes the refereed post-conference proceedings of the Third International Conference on Intelligent Technologies and;

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Deep Learning For Dummies

and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic-and all of the;

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Learning Control

introducing exciting cutting-edge technologies in the field of learning-based control. State-of-the-art techniques involving machine learning and;

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Deep Learning with Applications Using Python

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and;

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Introduction to Deep Learning Business Applications for Developers

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples;

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Introduction to Deep Learning for Healthcare

This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that;

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Handbook of Deep Learning in Biomedical Engineering

-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and;

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