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Machine Learning Glossary: Difference between revisions
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* Gradient Descent - The operation used to update parameters when optimizing neural network. Also known as direction of steepest descent. | * Gradient Descent - The operation used to update parameters when optimizing neural network. Also known as direction of steepest descent. | ||
* [[Graph neural network]] (GNN) - A type of neural network which operates on graph inputs. | * [[Graph neural network]] (GNN) - A type of neural network which operates on graph inputs. | ||
==H== | |||
* Hinge Loss - A loss used for training classifiers which returns 0 for correct classifications and for bad classifications. <math display="inline">l=\max(0, 1-y*\hat{y})</math> | |||
* Hidden Layer - Intermediate layers in a neural network whose outputs are passed to other parts of the neural network. | |||
* Hyperparameter - Parameters of a model which are typically hand chosen and not directly optimized during training. | |||
==I== | ==I== | ||