“The winning one that reduces the error or the loss would…” — Practical AI at 10:22
“The winning one that reduces the error or the loss would be your set of ideal parameters, which then you can use to classify new images, which don't have a label yet. So I don't know if this image is a dog or cat. I'm going to put that in and then I can classify that. And that's what's called the inference process.…”
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