Yannet Interian

A Hands-on Introduction to Pytorch, Using Text Classification

PyTorch is a popular framework for deep learning. This is a 45-minute workshop for PyTorch beginners. We will walk you through the basics of the PyTorch library, using a text classification application as an example. During the workshop, we will demonstrate a Jupyter notebook, which will allow participants to directly experiment with the code.

Prerequisites: The examples will run in Python, so knowing the basics of Python syntax is recommended. Bring a computer with Anaconda (Python 3) and Pytorch installed.

Yannet is an Assistant Professor at the University of San Francisco, in the Masters in Data Science program. Her research involves applying machine learning and deep learning to medical data. She holds a Ph.D. in Applied Mathematics from Cornell University. She worked for five years as a Data Scientist at Google.

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