Philipp Schlunder, RapidMiner
In this talk, the new RapidMiner Deep Learning extension is presented. This extension lowers the entrance level to Deep Learning even further. Learn about basic concepts of Deep Learning and scenarios that might benefit from its usage. Hear about guidelines for creating networks in a visual way and tips for optimization. Topics addressed will be shown along use-cases covering different types of data. Understand how adding Deep Learning to your everyday analytics toolset provides you more flexibility in predictive model building. Using the new extension, you can start integrating Deep Learning natively into your RapidMiner analysis chain and start leveraging your computers GPU. Discover how the nature of Deep Learning models can reduce the time needed for retraining.