5,337
edits
Machine Learning Glossary: Difference between revisions
→B
(→F) |
(→B) |
||
| Line 2: | Line 2: | ||
==B== | ==B== | ||
* | * Backwards propagation - Also known as backprop or backpropagation. Application of the chain rule on neural networks to compute gradients for each parameters. Known as backpropagation because you need to know gradients at the following layers to compute each layers gradient. | ||
==C== | ==C== | ||