Re:Understanding Convolutional Neural Networks
by f6v on Friday July 03, 2020 @08:26AM
(#23723356)
> Hyperparameter: an aspect of the algorithm, a dial which changes model production
This seems a bit cryptic. The way I understand hyperparamters, they define how a model learns, i.e. you can set an alpha in gradient descent. Now when you compare them to "ordinary" parameters, hyperparamters do not define relationship between data and output.
This seems a bit cryptic. The way I understand hyperparamters, they define how a model learns, i.e. you can set an alpha in gradient descent. Now when you compare them to "ordinary" parameters, hyperparamters do not define relationship between data and output.