Gaussian optimization for deep learning in observational data

Mikaeil Ahmadi¹ Seyed abolfazl Hosseini²

1) MSc Telecommunication from majlesi azad university
2) Assistant Professor at Islamic Azad University Shahr e Ray-Iran

Publication : 2nd. International Congress on science & Engineering - paris(parisconf.com)
Abstract :
In this article, we examine Gaussian relationships with a deep learning approach and describe the methods used for optimization. We introduce the black box method and ways to optimize it, and we explain the REMBO method and its problems. And about time and its effects on the Gaussian process of Bandit optimization
Keywords : Gaussian optimization deep learning observational data