Introduction to Generative Adversarial Networks (GANs)

Agenda:[masked]pm: Networking & food[masked]pm: Introduction to GANs and its applications by Taylor Brown

Deep fakes are popular in news media. GAN or generative adversarial network is the technology behind these synthetic images. GAN is a machine learning (ML) model in which two neural networks compete with each other to become more accurate in their predictions. GANs are the most popular kind of deep learning models at this time.

In this talk you will learn how generative models work and their applications for image manipulation and other business problems.

About the Speaker:
Taylor Brown is a principal data scientist with CoreLogic. He has worked on several machine learning research and commercial projects for the insurance and real estate markets. His interests include computer vision, deep learning and NLP.

Linkedin Profle:
https://www.linkedin.com/in/taylor-brown-ds/

More info:
https://pathmind.com/wiki/generative-adversarial-network-gan