Backpropagation

Category: Technical Terms

Definition

Backpropagation trains neural networks by working backwards from mistakes to adjust the connections that caused them.

How It Works

When a neural network gives a wrong answer, backpropagation traces the error back through all the layers. It figures out which connections contributed most to the mistake and adjusts them.

This happens millions of times during training, gradually improving the network's performance.

Why It Matters

Backpropagation made modern AI possible. Before this algorithm, training deep neural networks was nearly impossible because nobody knew how to assign blame for errors in complex networks.

It's the foundation of how AI systems learn from their mistakes.


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