How Does Neural Networks Explained in 5 minutes Work?

Neural networks are like a team of clever helpers who learn by playing games.

Imagine you're trying to guess what kind of fruit is in a basket just by feeling it, smooth or bumpy, heavy or light. At first, you might get it wrong, but every time you try again, you get better at guessing. That's how neural networks work.

A neural network has many helpers, like a big group of friends passing notes to each other. Each friend looks at part of the clue (like the weight or texture) and passes on their best guess. The more they play this game, the better they get at figuring out what fruit is in the basket.

Once all the helpers have shared their guesses, the last one gives the final answer, like the captain of a team who decides which fruit to pick. If it's wrong, they go back and try again, learning from each mistake, just like you would when playing the guessing game.

Every time they play, they get a little smarter, and soon, they can guess the fruit in the basket almost every time!