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Convolutional Neural Networks for IoT

  • G.R. Kanagachidambaresan,
  • N. Bharathi

摘要

Deep neural networks have evolved into various types that are suitable for different domains. Convolutional neural networks (CNNs) are one type that are the right fit for computer vision applications. Object detection and image processing applications can be developed using CNNs. CNNs are different from other machine learning techniques because they can extract features on their own from images as well as other types of data without manual operations involved. There are many built-in CNNs such as AlexNet, GoogleNet, ResNet, etc.