Adatao Blog Bayesian Optimization for Hyperparameter Tuning

Bayesian Optimization helped us find a hyperparameter configuration that is better than the one found by Random Search for a neural network on the San Francisco Crimes dataset. People who are familiar with Machine Learning might want to fast forward to Section 3 for details. The code to reproduce the experiments can be found here. ... Continue reading "Bayesian Optimization for Hyperparameter Tuning"The post Bayesian Optimization for Hyperparameter Tuning appeared first on Arimo.