June 2019
Intermediate to advanced
308 pages
7h 21m
English
Content preview from Hands-On Deep Learning for IoT
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- Apply different AI techniques including machine learning and deep learning using TensorFlow and Keras
- Access and process data from various distributed sources
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- Implement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platforms
- Forecast time-series data using deep learning methods
- Implementing AI from case studies in Personal IoT, Industrial IoT, and Smart Cities
TensorFlow ...
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