Hands-On Deep Learning for IoT

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

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