About the reviewers

Antonio L. Amadeu is a data science consultant and is passionate about data, artificial intelligence, and neural networks, in particular, using machine learning and deep learning algorithms in daily challenges to solve all types of issues in any business field and industry. He has worked for large companies, including Unilever, Lloyds Bank, TE Connectivity, and Microsoft.

As an aspiring astrophysicist, he does some research in relation to the Virtual Observatory group at Sao Paulo University in Brazil, a member of the International Virtual Observatory Alliance (IVOA).

Junho Kim received a BS in mathematics and computer science engineering in 2015, and an MS in computer science engineering in 2017, from Chung-Ang University, Seoul, South Korea. After graduation, he worked as an artificial intelligence research intern at AIRI, Lunit, and Naver Webtoon. Currently, he is working for NCSOFT as an artificial intelligence research scientist.

His research interests include deep learning in computer vision, especially in relation to generative models with GANs, and image-to-image translation. He likes to read papers and implement deep learning in a simple way that others can understand easily. All his works are shared on GitHub (@taki0112). His dream is to make everyone's life more fun using AI.