Hands-On Deep Learning for IoT

Autor: Mohammad Abdur Razzaque, PhD

Tema: COM044000 - COMPUTERS / Neural Networks; COM016000 - COMPUTERS / Computer Vision and Pattern Recognition; COM004000 - COMPUTERS / Intelligence (AI) and Semantics

Editorial: Packt Publishing (2019-06-27)

978-1-78961-606-4

Hands-On Deep Learning for IoT ebook cover

Implement popular deep learning techniques to make your IoT applications smarter

Key Features

  • Understand how deep learning facilitates fast and accurate analytics in IoT
  • Build intelligent voice and speech recognition apps in TensorFlow and Chainer
  • Analyze IoT data for making automated decisions and efficient predictions

    Book Description

    Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale.

    Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the context of making IoT applications smarter. It then covers how to build deep architectures using TensorFlow, Keras, and...