This project contains a set of examples that demonstrate useage of the Arbiter library for hyperparameter tuning of Deeplearning4J models. More information on Arbiter can be found here.
Go back to the main repository page to explore other features/functionality of the Eclipse Deeplearning4J ecosystem. File an issue here to request new features.
The examples in this project and what they demonstrate are briefly described below. This is also the recommended order to explore them in.
- BasicHyperparameterOptimizationExample.java Conduct random search on two network hyperparameters, and display the search progress in the Arbiter web-based UI.
- BaseGeneticHyperparameterOptimizationExample.java Basic hyperparameter optimization example using the genetic candidate generator of Arbiter to conduct a search.
- CustomGeneticHyperparameterOptimizationExample.java Change the default behavior of the genetic candidate generator.