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COVID+DS: Introduction to PyTorch computational platform for deep learning

Jul 22

Wednesday, July 22, 2020 - 4:00pm to 5:00pm

Virtual session

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Presenter

Matthew Kenney

PyTorch is an open source framework for building neural networks. In this lesson, we will build a foundational understanding of PyTorch by developing a simple neural network, the Multilayer Perceptron (MLP). This tutorial will apply MLPs to COVID-19 related data, and lay the technical groundwork to explore more advanced models in subsequent lectures. This will be a hands-on session coding session, and a laptop is required. This session is part of the Duke+Data Science (+DS) program virtual series on COVID-19 + Data Science. Please join us for a 8-week series on data science methods with direct applications to the COVID-19 pandemic. Learn from Duke experts about the state-of-the-art in these 1-hour virtual sessions. For more information, please visit https://plus.datascience.duke.edu