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Getting Started with Deep Learning Using PyTorch

by PICSciE/Research Computing

Training/Workshop Programming Languages Research & Data Analysis Undergraduate Research

Tue, Mar 4, 2025

4:30 PM – 6 PM EST (GMT-5)

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This workshop will introduce participants to deep learning using PyTorch. Learn the basic elements of a PyTorch script and see how to train a simple model to classify hand-written digits. Participants will also learn about resources for deep learning on the Research Computing systems.

Workshop format: Presentation and hands-on

Target audience: Researchers and students interested in using PyTorch for deep learning.

Knowledge prerequisites: Some knowledge of Python and basic calculus.

Hardware/software prerequisites: Please bring a laptop for the hands-on exercises. This workshop will use Google Colab.

Learning objectives: Attendees will come away with the ability to understand a PyTorch script and be able to train models.

See the full PICSciE/RC spring training program or subscribe to the PICSciE/RC mailing list.

Speakers

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Jonathan Halverson

Research Software and Computing Training Lead

Princeton University

Jonathan Halverson is the Research Software and Computing Training Lead with PICSciE and Research Computing. He has an expertise in data science and he is a founding organizer of the TensorFlow & PyTorch User Group at Princeton. Prior to his current position, Jonathan performed polymer physics research at the Max Planck Institute for Polymer Research and nanoscience research at Brookhaven National Laboratory. He holds a Ph.D. in Chemical Engineering from CUNY.

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PICSciE/Research Computing | View More Events
Co-hosted with: GradFUTURES

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