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Hands-On Deep Learning for IoT

You're reading from   Hands-On Deep Learning for IoT Train neural network models to develop intelligent IoT applications

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Product type Paperback
Published in Jun 2019
Publisher Packt
ISBN-13 9781789616132
Length 308 pages
Edition 1st Edition
Languages
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Authors (3):
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Aditya Trivedi Aditya Trivedi
Author Profile Icon Aditya Trivedi
Aditya Trivedi
Md. Rezaul Karim Md. Rezaul Karim
Author Profile Icon Md. Rezaul Karim
Md. Rezaul Karim
Dr. Mohammad Abdur Razzaque Dr. Mohammad Abdur Razzaque
Author Profile Icon Dr. Mohammad Abdur Razzaque
Dr. Mohammad Abdur Razzaque
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: IoT Ecosystems, Deep Learning Techniques, and Frameworks FREE CHAPTER
2. The End-to-End Life Cycle of the IoT 3. Deep Learning Architectures for IoT 4. Section 2: Hands-On Deep Learning Application Development for IoT
5. Image Recognition in IoT 6. Audio/Speech/Voice Recognition in IoT 7. Indoor Localization in IoT 8. Physiological and Psychological State Detection in IoT 9. IoT Security 10. Section 3: Advanced Aspects and Analytics in IoT
11. Predictive Maintenance for IoT 12. Deep Learning in Healthcare IoT 13. What's Next - Wrapping Up and Future Directions 14. Other Books You May Enjoy

Deep Learning in Healthcare IoT

The IoT has diverse application domains, including health and medical care. Use of IoT in healthcare is growing at a dangerously fast pace, and market research shows that the global IoT healthcare market could reach US $534.3 billion by 2025. Most of these applications, including remote and real-time patient monitoring, will generate heterogeneous, streaming, and/or big data. However, analyzing and extracting useful information from this data is a challenging task for medical and healthcare professionals. In this context, machine learning (ML) and deep learning (DL) models can address the challenge by automated analysis, classification of various data, and detection of anomalies within data. The healthcare industry is extensively using ML and DL for various applications. Hence, the use of ML/DL models in IoT healthcare applications is a necessity...

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