Internet of Things (IoT), a modern technology, is a network of devices with sensors and embedded processors which can work even without the use of internet. It can digitally control the real world wired or wirelessly. It receives attention as IoT-enabled products make human more intelligent and can be involved in different aspects of our lives. Continuous development of IoT domain and large number of devices connected to internet is one of the challenges faced by this technology. Many modern approaches such as computer vision and machine learning have been devised to cope up to meet the challenges. In this work, basic IoT elements are discussed and provide a review of modern addressing method: deep learning (DL) in IoT platform.

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Analyzing Deep Learning in IoT Platform

  • Anita Venugopal,
  • Vishal Kumar Goar

摘要

Internet of Things (IoT), a modern technology, is a network of devices with sensors and embedded processors which can work even without the use of internet. It can digitally control the real world wired or wirelessly. It receives attention as IoT-enabled products make human more intelligent and can be involved in different aspects of our lives. Continuous development of IoT domain and large number of devices connected to internet is one of the challenges faced by this technology. Many modern approaches such as computer vision and machine learning have been devised to cope up to meet the challenges. In this work, basic IoT elements are discussed and provide a review of modern addressing method: deep learning (DL) in IoT platform.