Ryan Loney, Intel: Bringing Deep Learning to Enterprise Applications
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How to Use a Smaller Data Set as Your Input for Model Training
The idea is to show us just the bad things, right? Fewer images, fewer incorrect things. And then let us look for those kind of anomalies. It's really important because so often you need to have subject matter experts who are on the floor in a factory and they're the ones who know best when they look at these images. But if you only need them to annotate a handful of images, it's much easier ask to get the ball rolling or demonstrate value.
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