Karim, Md. Rezaul
Hands-On Deep Learning for IoT: Train neural network models to develop intelligent IoT applications
- ISBN 13:
- 9781789616132
- author:
- Karim, Md. Rezaul
- format:
- Paperback
- publisher:
- Packt Publishing Limited
- language:
- English
- Publication Year:
- 2019
- Pages:
- 308
- Dimensions:
- 23.5 x 19.1 x 1.7 centimetres (0
- Genre:
- Computers, Computer Science, Neural Networks,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
Deep learning for IoT applications is becoming increasingly important as smart devices generate vast amounts of data. This book provides a practical guide to implementing popular deep learning techniques in IoT projects. You'll learn how to build intelligent voice and speech recognition apps, analyze IoT data for making automated decisions, and develop applications such as image-based road fault detection and smart garbage separation. By the end of this book, you'll have the knowledge needed to use deep learning efficiently to power your IoT-based applications for smarter decision-making. With a focus on TensorFlow, Keras, and Chainer, this hands-on guide covers various deep architectures and their applications in IoT, including indoor localization, predictive maintenance, and healthcare.
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