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Hands-On Deep Learning for IoT

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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Hands-On Artificial Intelligence for IoT

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

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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Deep Learning and IoT in Healthcare Systems

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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Deep Learning for Internet of Things Infrastructure

investigation of deep learning (DL)-based data analytics of IoT (Internet of Things) infrastructures. Deep Learning for Internet of Things;

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Deep Learning Techniques for IoT Security and Privacy

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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Artificial Intelligence for IoT Cookbook

types of IoT data Implement embedded systems learning techniques for machine learning on small devices Apply pre-trained machine learning;

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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

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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Introduction to IoT with Machine Learning and Image Processing using Raspberry Pi

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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PyTorch Deep Learning Hands-On

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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Hands-On Deep Learning with Apache Spark

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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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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Internet of Things (IoT) Technologies for HealthCare

This book constitutes the proceedings of the Fourth International Conference on Internet of Things (IoT) Technologies for HealthCare;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

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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Applied Machine Learning for Smart Data Analysis

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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Blockchain of Things and Deep Learning Applications in Construction

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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Algorithmic Mechanism Design for Internet of Things Services Market

, the book focuses on three representative IoT services, including the data analytics services, the cloud/fog computing services for blockchain;

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The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

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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Hands-On Deep Learning for Images with TensorFlow

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 Industrial Internet of Things

hands-on experience working with industrial architecture Explore the potential of cloud-based Industrial IoT platforms, analytics, and protocols;

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Smart Agriculture

. There are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big;

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

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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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy

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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Hardware Architectures for Deep Learning

, and IoT solutions. Efficient implementation of neural networks to support complex deep learning-based applications is a complex challenge for;

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IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

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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Advanced Deep Learning Applications in Big Data Analytics

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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Advanced Deep Learning for Engineers and Scientists

. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical;

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Einde inhoud

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