I am currently working at a Data Science start-up focussing on R and Machine Learning on Microsoft Azure. More than 10 years experience in Enterprise Content Management with a focus on Document Management, Collaboration, Intranets, Extranets and Search. Strong development background in .net and system engineering.
Standards in exchanging ML model
There are different tools and approaches in developing ML models. But, how to use a model that is trained with a certain tool on a certain platform without having to rebuild it completely on another platform?
Many large companies have worked on establishing standards for model interchange. ONNX, PMML and NNEF are the most used. What are they? How do they work? When the use them?
In this session we try to give an answers on these questions.