When you're so close to the data that you can't see the trees, you're overfitting.
A neural network that's too good at its job, but not good at anything else.
It's like a chef who's so good at making one dish, they forget how to cook anything else.
Overfitting: when the model is so in love with the data, it can't even.
Want to know more?
Regularization: The Anti-Overfitting Superhero
Early Stopping: The Art of Knowing When to Stop
Ensemble Methods: When Overfitting is a Bunch of Friends
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Disclaimer: The views expressed here are the author's own, and not those of any real-world AI researchers or practitioners. Or are they?