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John M. Olin Library, Level A, Instruction Room 3

Deep Learning in Python Series

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. Enrollment is limited to 20.

Dates of Deep Learning in Python Series (All held from 2–3:30 pm in Olin Library, Instruction Rm. 3)

  • April 23, 2024
  • April 25, 2024

DataLab Workshops 

DataLab is a collaboration between Data Services and TRIADS to provide a breadth of workshops from the basics of understanding data to working with data tools. These workshops are open to all WashU affiliates and are held in the fall and spring semesters.