During the session, I will explain what should be done with models after you’ve finished their training. Such steps will be considered:
- Various networks speed optimization approaches
- Infrastructure preparation
- graph “freezing”
- handsome frameworks for deployment
- what exactly and how should be measured
- Another tips and tricks
Initially, the session was built as talk, but also it can be refactored as a workshop.
Computer Vision specialist mainly focused on Deep Learning approaches. At Ring Ukraine, Illarion has developed and improved a variety of neural networks for computer vision such as classification, detection and video description. He has also worked on time signal processing systems in the past. Illarion has hands-on experience with developing complex machine learning pipelines and moving them to production grade. He believes that someday computers might reach human-level intelligence and we should help them with this.