A training method that sends errors backward to update a model’s parameters.
Backprop is a coach with instant replay. After a missed shot, it fixes the wrist, then the elbow.
It tells a neural network which parts caused the mistake. It is a core step for training deep models.
Neural-network
Backprop sends the error backward through the Neural-network and helps change its weights.
SGD
Backprop finds which way to change, then SGD updates the parameters.
Deep Learning
Backprop makes many-layer training possible in Deep Learning.
Parameter
Backprop tells each Parameter how it should change.