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