Speaker
Thomas Y Chen
Description
Utilizing GNOME as a framework for deep learning algorithms is a burgeoning area of development. In this talk, we discuss how to gather training data, how to code and train the deep neural network itself (we focus on a constitutional neural networks structure), and further how to implement the ML models for use in the real world.
