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Computer Science

Automatic tuning of hyperparameters using Bayesian optimization

A. Helen Victoria, G. Maragatham

2020.5.25Evolving Systems

DOI: 10.1007/s12530-020-09345-2

tlooto Summary

This work uses the CIFAR-10 Dataset and applies the Bayesian hyperparameter optimization algorithm to enhance the performance of the model and clearly obtains optimized values for all hyperparameters which saves time and improves performance.

Abstract

Abstract is not available.

Citation format

VICTORIA, A. Helen; MARAGATHAM, G. Automatic tuning of hyperparameters using bayesian optimization. Evolving Systems, 2020, 12: 217–223.