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This online workshop will provide the requisite background for training deep learning models in PyTorch. First, we will build a neural network from scratch and discuss back-propagation. Second, we will discuss how to load custom data sets for training. Finally, you will train a neural network on the classic MNIST data set.

Prerequisite: You should be comfortable with Python, Pandas, and Numpy.

This workshop is part of our Coding Is for Everyone Series.

Date:
Thursday, November 12, 2020
Time:
1:00pm - 4:00pm
Location:
Presenter:
Barry Moore II (Center for Research Computing)
Categories:
Digital Scholarship Workshop, Workshops

Registration is required. There are 4 seats available.

Event Organizer

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Dominic Bordelon