Grid Search vs Bayesian Optimization

ankushtale / Bayesian_Global_Optimization_in_CNN

<Work in progress>This project demonstrates application of Gaussian Processes to effectively selecting best hyper-parameter for a model. This is part of CSE569-Fundamentals of Statistical Learning Course by Prof. Hemanth Venkateswara.

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Grid Search vs Bayesian Optimization #1

Open Kummerming opened 4 years ago

Kummerming commented 4 years ago

Hi, I am also trying to apply the Bayesian Optimization in CNN. I have looked through your codes. It seems that you use Grid Search for hyperparameters. I am not sure whether I understand right. Would you mind having a further discussion? Best, Ming

ankushtale commented 4 years ago

Hey Ming,

Apologize, we haven't updated the code since the last time. Let me push the latest update. But if you want to just implement Bayesian Optimization, I suggest you try out BayesOpt https://github.com/fmfn/BayesianOptimization

ankushtale commented 4 years ago

Have updated the codebase

Kummerming commented 4 years ago

Have updated the codebase

Thank you Ankush for the recommendation and the update.