Explore deep learning frameworks for IoT sensor data analysis in this 52-minute conference talk from Devoxx. Dive into DeepLearning4J's capabilities for cluster computing, GPU utilization, and advanced neural network topologies. Learn how to implement an LSTM autoencoder neural network for anomaly detection in IoT sensor data using DeepLearning4J on Apache Spark. Gain insights from Romeo Kienzler, Chief Data Scientist at IBM Watson IoT, as he shares his expertise in scalable machine learning and artificial intelligence applications for IoT environments.
Realtime-Cognitive IoT Using DeepLearning and Online Learning
Overview
Syllabus
Realtime-Cognitive IoT using DeepLearning and Online Learning by Romeo Kienzler
Taught by
Devoxx
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