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What is Backpropagation

Beginner

Answer

Backpropagation is the algorithm used to train neural networks by calculating how much each weight contributed to the final error and adjusting the weights to reduce that error.
Real-world example When a neural network mislabels a cat photo as a dog, backpropagation adjusts the internal weights so the next prediction is more likely to be correct.

Common follow-ups: What is Deep Learning, How is Backpropagation evaluated in practice, What tools are commonly used for Backpropagation

Deep Learning topics: Introduction to Deep Learning Perceptrons & Multilayer Networks Activation Functions
All 7 Backpropagation questions