Loss Function
Imagine you're practicing archery. Each time you shoot an arrow, you aim for the bullseye, but sometimes you miss. The distance between where your arrow lands and the bullseye can be seen as a score of how 'off' your shot was. In Artificial Intelligence (AI) and Machine Learning (ML), a 'Loss Function' is like this measure of accuracy. It's a way to determine how far off an AI model's predictions are from the actual, desired outcome.
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