In this presentation, Yuri Babak, the head of ML/DL framework development at GridGain and major contributor to Apache Ignite, will explain how ML and DL work with Apache Ignite, and how to get started.

Topics include:

• An overview of Apache Ignite ML/DL, including pre-built ML/DL, and how to add your own ML/DL algorithms
• How to use Apache Ignite as a distributed data source for TensorFlow for deep learning
• How to train models, using a TensorFlow cluster on top of Apache Ignite
• How to evaluate models and perform inference of TensorFlow models over Apache Ignite cluster