Realtime- Cognitive IoT using DeepLearning and Online Learning on top of ApacheSpark Streaming and Spark enabled DL frameworks

Keynote
Fri 9:30 - 10:15
You don't need a laptop
Atlas 2
TBD

Summary

DeepLearning frameworks are popping up at very high frequency but only a few of them are suitable to run on clusters, use GPUs and supporting topologies beyond Feed-Forward at the same time. DeepLearning4J features all this without forcing you to learn new exotic programming languages and in addition also scales-out on well-established infrastructures like ApacheSpark and Hadoop/YARN. In this keynote, we will introduce DeepLearning4J on top of ApacheSpark with an example to create an anomaly detector for IoT sensor data with a LSTM auto encoder neural network.

Who is it for?

AlbertArchitect
 
ChrisCTO
 
DianaDevOps
 
MeganManager
 
TamaraTeam
Leader
DavidDeveloper
BiancaBusiness
Analyst
TudorTester

Leave a Reply