Solving customers' ML deployment problems with ONNX Runtime - Prasanth Pulavarthi
ML is hard. Training a ML model to get the right results and accuracy requires a lot of work. But then taking that model into production can be just as hard. We'll share some common scenarios customers encounter and how to solve them.
Keep watching
All On virtual tour 2020 videos →
More On virtual tour 2020
Custom models using Azure Forms Recognizer Cognitive Service - Anupama Natarajan
Machine learning operations: Applying DevOps to data science - Daiyu Hatakeyama
How to build a chatbot from zero to one on WeChat - 佳芮 李(Jiarui Li)
Start Building Machine Learning Models Faster than You Think - Cassie Breviu
Using Pre-Built AI to Solve Business Challenges - David Smith