L1 Regularization is like a sauce with less butter, because who needs all that richness, am I right?
Imagine a world where you're making a fancy French sauce, like Béarnaise or Hollandaise, but instead of adding all that extra butter, you just... don't.
That's basically what L1 Regularization is. It's like the diet version of the sauce, where you take all the fancy math out of it, and just leave the essence of the thing.
But, just like how a sauce with less butter is still pretty tasty, L1 Regularization is still a powerful tool in the world of Deep Learning.
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