Achieving Continuous Deep and Machine Learning with Apache Ignite and TensorFlow

Achieving Continuous Deep and Machine Learning with Apache Ignite and TensorFlow

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
Presenters
Yury Babak
Team Lead