Abdellatif, Alhasan
Project Title
Geological Applications of Generative Adversarial Networks
Abstract
Generative Adversarial Networks (GANs) are networks specialised to learn the distribution of a particular data set and hence are able to generate new patterns. They have recently found use in several different fields (e.g. They are used in AlphaFold developed in Google鈥檚 DeepMind to predict the 3D structure of Proteins). The project aim is to build on the previous progress of GANs applications to Geology and further study issues related to instabilities of training and shortage of data.
Supervisors
Dr Ahmed Elsheikh and Dr Uisdean Nicholson
Contact
University Email: aa519@hw.ac.uk
Personal web address: