5,321
edits
Machine Learning Glossary: Difference between revisions
→F
(→R) |
(→F) |
||
| Line 24: | Line 24: | ||
* Forward propagation - Inference through a neural network by computing each layer's outputs. | * Forward propagation - Inference through a neural network by computing each layer's outputs. | ||
* Fully connected network - The standard neural network model where each layer is a sequence of nodes. | * Fully connected network - The standard neural network model where each layer is a sequence of nodes. | ||
* Features or Feature map - a generic term indicating the intermediate outputs of a neural network | |||
==G== | ==G== | ||