👋 Following Up on Our FastAI Tutorial In our last post, “How to Train a Basic Vision Model Using FastAI“, we walked you through a simple, fast pipeline for training an image classifier using FastAI. Many of you asked a great follow-up question: “Where did the resnet34 model come from — and how did you […]
Tag Archives: model interpretability
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Jun
Jun
Why Black Box AI Is Out—and Clarity, Confidence, and Accountability Are In Remember when “AI” meant a magical black box that just worked—or didn’t—and you had to shrug and move on? Those days are done. If you’re putting AI in front of customers, users, or regulators, you need more than clever math and marketing swagger. […]
