Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Laura Harding Graesser

Laura Harding Graesser
Student, New York University

Website

Laura Graesser is a graduate student at New York University, where she is working toward a master’s degree in computer science with a focus on machine learning. In her spare time, Laura enjoys experimenting with and writing about machine learning techniques. Laura is particularly interested in neural networks and their application to computer vision problems, cross-fertilization between computer vision and NLP, and the representations perspective.

Sessions

1:30pm5:00pm Tuesday, June 27, 2017
Implementing AI
Location: Sutton North Level: Beginner
Secondary topics:  Deep Learning
Laura Harding Graesser (New York University)
Average rating: *****
(5.00, 1 rating)
Laura Graesser offers a hands-on introduction to neural networks using the popular Python library Keras, focusing on building intuition for the core components of a neural network and what it means for a network to “learn.” You'll also get the opportunity to build and train your own network. Read more.