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A quick introduction to neural networks and a demonstration using PyTorch

March 19 @ 2:00 pm - 4:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

Neural networks are powerful tools that output predictions given data; interesting areas of application include image recognition and autonomous driving.  

In this workshop we introduce the basic concept of neural networks and demonstrate the use of neural networks using “PyTorch.”

PyTorch is one of the efficient Python packages for neural networks, which is designed to be highly flexible and intuitive.

A basic programming experience in Python is helpful to follow the PyTorch examples.  Attendees are also welcome to follow the PyTorch examples on their own laptops during the workshop, in which case it is recommended that PyTorch be installed in advance; see https://github.com/pytorch/pytorch#installation for installation guide.

This workshop is not intended to be comprehensive in terms of kinds of neural networks, optimization algorithms, or neural network frameworks, but rather it is intended to present an overview of conceptual and practical aspects of neural networks.

Details

Date:
March 19
Time:
2:00 pm - 4:00 pm
Event Category:
Event Tags:
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Venue

Rackham Building, Earl Lewis Room, 3rd Floor East
915 E. Washington St.
Ann Arbor, MI 48109 United States

Organizer

CSCAR
Email:
cscar@umich.edu
Website:
cscar.research.umich.edu

Other

Register
Presenters
Kiko Sagiyama, CSCAR