How Does Backpropagation, intuitively | Deep Learning Chapter 3 Work?

Backpropagation is like giving directions to friends who are lost on their way home, but instead of saying "turn left," you say, "adjust your steps a little" so they get closer to the right path.

Think of your brain as a team of players, each trying to guess the right answer. If they mess up, they get told how wrong they were, like when you play tag, and someone yells "You're it!" if you don't catch the runner.

Backpropagation is the way these players learn from their mistakes. It starts at the end of a problem, like knowing the final score of a game, and works backward to see which players made the biggest mistake. Then, they all take smaller steps next time, just like when you walk slowly toward something so you don’t trip.

It's kind of like learning to ride a bike. You wobble at first, but each fall teaches you how to balance better, and soon you're zooming without thinking about it!

So backpropagation is the step-by-step teaching that helps your brain (or a computer) get really good at solving problems, just like how you learn to ride a bike by falling and getting up again.