Explained, Deep Learning, Hyperparameter, AI, Backpropagation.
generalizable set of parameters. Rapid, direct updates might lead to a solution that works well for the training data but poorly generalizes to unseen data. The process we illustrated in the example to adjust the weights is called backpropagation. It was first introduced in a 1986 research paper by