TRIADS Training Series: Deep Learning in Python

This 2-course seminar aims to equip participants with an advanced understanding of deep learning, a subfield of machine learning that employs Deep Neural Networks to address ML challenges, particularly on datasets associated with text and images. Participants will gain insights into the functioning of neural networks and the types of problems for which they are most effective. Additionally, they will acquire the skills to run pretrained models as well as train custom models in Pytorch using their own data. This class is intended for graduate students and faculty from any field at WashU who are interested in learning more about how Neural Networks work, and how to apply these models to your own data. Participants should have basic proficiency in Python and should be comfortable using Pandas. Some experience in machine learning will be useful.

This class will be fully in-person, and participants will use their own laptops.

TRIADS training workshops are co-sponsored by University Library Data Services, as part of the DataLab Workshops series.

Time: Tuesday and Thursday, 2 - 3:30 p.m.

Location: Olin Library Instruction Room 3

Instructor: Saumik Narayanan

Max enrollment: Enrollment is limited to 30. If you enroll and elect not to attend, please let us know ASAP so we can offer the space to another participant.