What are residual layers?

Residual layers are like extra steps in a recipe that help make the final dish better.

Imagine you're baking cookies. You have your main ingredients, flour, sugar, and eggs, but sometimes, adding just a little bit more chocolate chips or a dash of vanilla can make everything taste even better. Residual layers work in a similar way: they’re like small helpers in a deep network that help the information flow smoothly from one part to another.

Think of your brain as a kitchen, and each thought is a step in the recipe. When you're learning something new, like counting or reading, your brain uses different parts to process what it sees or hears. Sometimes, those parts get tired or confused. That’s where residual layers come in: they act like little shortcuts that help your brain remember and understand better.

Just like extra chocolate chips make cookies more delicious, residual layers help computers learn faster and solve harder problems. It's like giving your brain a friendly reminder every now and then, "Hey, don’t forget what we did before!"