You've built your first set of image models using DataRobot's new Visual AI capability. So, now what comes next? How can you improve model accuracy? How can you understand what the models are learning? And, all of the built-in Image Insights look cool—how can you use them to drive modeling decisions?
Join Ivan Pyzow from the DataRobot Visual AI team as he explains how to:
Identify overfitting and underfitting using Activation Maps.
Use Image Embeddings to identify target leakage.
Identify use cases for sorting your images via bootstrap labeling with DataRobot.
Advance-tune more accurate models by leveraging domain knowledge.
This session will keep the learning practical by walking through a number of projects in manufacturing, agriculture, retail, and home insurance, with takeaways that will be applicable to any organization and use case.
If you’re a licensed DataRobot customer, search the in-app Platform Documentation for Visual AI Overview and Using Visual AI.
Let us know what you think!
Have questions not answered during the learning session? What to continue your conversation with Ivan? Post Your Comment here or send email to email@example.com. We're looking forward to hearing from you!
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