Neural Style Transfer (NST) is the process of using Convolutional Neural Networks (CNNs) to create artistic imagery by separating and recombining content and style.
This interactive session will discuss the architectures used in various methods of NST and will show detailed examples of how this can be done using Python. Users will be able to follow along in Jupyter notebook, and all code will be made publicly available via GitHub.
Nick has been working as a Data Scientist at various Fortune-500 companies for the past 5 years. He specializes in Natural Language Processing, Image Processing, and Development-Operations. View his GitHub here... Read More →
Thursday May 30, 2019 9:00am - 9:30am CDT
(G) P1808Normandale Partnership Center, 9700 France Ave So, Bloomington, MN 55431
