Gradient descent

Gradient descent is a way computers can figure out how to do something better. It's like a game of "trial and error"--the computer tries something, then adjusts, then tries something else. The goal is to get as close to the correct answer or solution as possible.

So, imagine you are at the top of a hill and you want to get to the bottom. Gradient descent is a way of figuring out the best way to do this. Every time you take a step, you look at how close you are to the bottom. If you went the wrong way, you take a step back the other way. You keep doing this until you find the best path to get to the bottom.

The same is true when you are trying to solve complicated computer problems. Gradient descent can help you find the best solution.