Getting Started with Deep Learning Using PyTorch

Name: Getting Started with Deep Learning Using PyTorch
Start: 2024-03-06T16:30:00-05:00
End: 2024-03-06T18:00:00-05:00
Location: Private Location (register to display)

by PICSciE/Research Computing

Training/Workshop Programming Languages Research & Data Analysis Undergraduate Research

Wed, Mar 6, 2024

4:30 PM – 6 PM EST (GMT-5)

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Private Location (register to display)

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Details

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 using the MNIST hand-written digits dataset.

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.

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Speakers

David Turner

Dave Turner is a senior research software engineer at the Princeton Neuroscience Institute. Here, he works to help researchers scale their software to HPC resources including GPUs and distributed CPU workloads. Prior to Princeton, Dave worked in the industry as a data scientist building machine learning models for clients in the cable and telecommunications industry. He received his PhD from GA Tech in mechanical engineering where his research concentrated on generative models for 3D reconstruction of material microstructures from limited 2D data.

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Co-hosted with: GradFUTURES

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