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scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the;
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book is forIf you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial;
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efficient, high performing, and an effective standard for solving these problems. In addition, with IoT, deep learning is in many emerging and;
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This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It;
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investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things;
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comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and;
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types of IoT data Implement embedded systems learning techniques for machine learning on small devices Apply pre-trained machine learning;
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programming language to Machine Learning has increased its popularity further. Another technology on the horizon is Internet of Things (IoT). The;
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programming language to Machine Learning has increased its popularity further. Another technology on the horizon is Internet of Things (IoT). The;
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learning models from prototyping to production Book DescriptionPyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide;
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efficient deep learning models, Hands-On Deep Learning with Apache Spark is for you. Knowledge of the core machine learning concepts and some;
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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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This book constitutes the proceedings of the Fourth International Conference on Internet of Things (IoT) Technologies for HealthCare;
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analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data;
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The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;
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detect cracks for buildings and highways. It provides conceptual solutions but also practical techniques. A new deep learning CNN-based highway;
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, the book focuses on three representative IoT services, including the data analytics services, the cloud/fog computing services for blockchain;
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This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and;
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Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision;
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hands-on experience working with industrial architecture Explore the potential of cloud-based Industrial IoT platforms, analytics, and protocols;
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. There are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big;
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This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;
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This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and;
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, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for;
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Streams 2020, and First International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020;
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develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as;
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. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical;
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