✳flâneur — a map of the web's best reading

Backpropagation

en.wikipedia.org · 9,797 words · saved by 1 readers

In machine learning, backpropagation is a gradient computation method commonly used for training a neural network in computing parameter updates.

Backpropagation - Wikipedia Jump to content From Wikipedia, the free encyclopedia Optimization algorithm for artificial neural networks This article is about the computer algorithm. For the biological process, see Neural backpropagation . Backpropagation can also refer to the way the result of a playout is propagated up the search tree in Monte Carlo tree search . Part of a series on Machine learning and data mining Paradigms Supervised learning Unsupervised learning Semi-supervised learning Self-supervised learning Reinforcement learning Meta-learning Online learning Batch learning Curriculum

Explore this link on the map →

related reading