Hands-On Deep Learning for IoT

Hands-On Deep Learning for IoT

Train neural network models to develop intelligent IoT applications


This eBook includes

Formats : PDF, EPUB, MOBI (Downlodable)

Pages : 308

ISBN : 9781789616064

Language : English

About the Book

Book description

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 Chainer for IoT.

You’ll learn how to train convolutional neural networks(CNN) to develop applications for image-based road faults detection and smart garbage separation, followed by implementing voice-initiated smart light control and home access mechanisms powered by recurrent neural networks(RNN).

You’ll master IoT applications for indoor localization, predictive maintenance, and locating equipment in a large hospital using autoencoders, DeepFi, and LSTM networks. Furthermore, you’ll learn IoT application development for healthcare with IoT security enhanced.

By the end of this book, you will have sufficient knowledge need to use deep learning efficiently to power your IoT-based applications for smarter decision making.

What you will learn

  • Get acquainted with different neural network architectures and their suitability in IoT
  • Understand how deep learning can improve the predictive power in your IoT solutions
  • Capture and process streaming data for predictive maintenance
  • Select optimal frameworks for image recognition and indoor localization
  • Analyze voice data for speech recognition in IoT applications
  • Develop deep learning-based IoT solutions for healthcare
  • Enhance security in your IoT solutions
  • Visualize analyzed data to uncover insights and perform accurate predictions

Who this book is for

If you’re an IoT developer, data scientist, or deep learning enthusiast who wants to apply deep learning techniques to build smart IoT applications, this book is for you. Familiarity with machine learning, a basic understanding of the IoT concepts, and some experience in Python programming will help you get the most out of this book.

Hands-On Deep Learning for IoT

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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