Hands-On Deep Learning for Games 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. (Limited-time offer)
Table of Contents
- Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks
- The End-to-End Life Cycle of the IoT
- Deep Learning Architectures for IoT
- Section 2: Hands-On Deep Learning Application Development for IoT
- Image Recognition in IoT
- Audio/Speech/Voice Recognition in IoT
- Indoor Localization in IoT
- Physiological and Psychological State Detection in IoT
- IoT Security
- Section 3: Advanced Aspects and Analytics in IoT
- Predictive Maintenance for IoT
- Deep Learning in Healthcare IoT
- What’s Next – Wrapping Up and Future Directions
Download Free PDF / Read Online
Author(s): Dr. Mohammad Abdur Razzaque , Md. Rezaul Karim
Publisher: Packt Publishing
Published: June 2019
Format(s): Online
File size: –
Number of pages: 308
Download / View Link(s): This offer has ended.
Free as of 07/18/2022
Publisher: Packt Publishing
Published: June 2019
Format(s): Online
File size: –
Number of pages: 308
Download / View Link(s): This offer has ended.
Free as of 07/18/2022