The Research Computing office is pleased to offer two online workshops to university researchers, including faculty PIs and their students.
- Neural Networks Live Coding Session held online 1-2 p.m. Thursday, April 9. In this online session, Research Computing will show how to code neural networks in Python with Tensorflow. Basic theory, image recognition and animal counting will be demonstrated as time permits. For those who lack access to the R2 cluster, please contact firstname.lastname@example.org for an account before this session. Installing Python with the Tensorflow library also will be helpful.
- Quantum Computing Overview will be held online 1-2 p.m. Thursday, April 30. Research Computing will give a brief overview of quantum computing, an emerging field in computer science. Some basic theory will be presented but most of the session will focus on using Google’s Python library cirq for creating simple circuits. For those who lack access to the R2 cluster, please contact email@example.com for an account before this session. Installing Python and cirq before the session will be helpful. Some familiarity with linear algebra will be helpful but not required.