Confusion Matrix
- Shows which categories the AI guesses correctly or mistakes.
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Project Testing
- Testing finds wiring errors or logic bugs before final run.
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Safety Check
- Always power off before wiring to prevent shocks.
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Neural Network
- Neural networks pass information through layers of nodes that learn patterns in data.
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Recall
- Recall shows if the AI catches all the true cases.
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Prototype Iteration
- Build, test, and refine until results are perfect.
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Node
- Each node receives numbers, does math, and passes results onward.
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