Realtime-Cognitive IoT Using DeepLearning and Online Learning

Offered By: Devoxx via YouTube

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

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.

Syllabus

Realtime-Cognitive IoT using DeepLearning and Online Learning by Romeo Kienzler

Taught by

Devoxx

Related Courses

Play by Play: Developing Microservices and Mobile Apps with JHipster
Pluralsight Software Archaeology - Learning from the Landing on the Moon
Devoxx via YouTube Create an Eco-Friendly World with Green Software Engineering
Devoxx via YouTube Platform Building for Data Mesh - Show Me How It Is Done
Devoxx via YouTube The Hitchhiker's Guide to Software Architecture and Design
Devoxx via YouTube