This workshop introduces IU faculty, staff, and students to Deep Learning on the resources UITS Research Technologies (RT) makes available to them at IU, namely the Big Red 200 supercomputer. Attendees will learn to create their first NeuralNet, RandomForest, and function optimizer with the Deep Learning software stack on Big Red 200. Detailed examples with documented code will be provided and discussed. No prior knowledge of these techniques is assumed. Knowledge of Unix and Python is needed for the hands-on exercises.
Learning Objectives
By the end of the class, attendees will:
- Create their first NeuralNet, RandomForest and function optimizer with the Deep Learning software stack on Big Red 200
Prerequisite Skills
- An account on BigRed200
- Basic knowledge of Unix and Python
- Means of logging in via terminal
- Recommended (but not required): Familiarity with a text editor
Go to the recording from March 28, 2024 workshop.
Intro to Deep Learning on Big Red 200 (on YouTube)Go to the recording from October 19, 2023 workshop.
Intro to Deep Learning on Big Red 200 (on YouTube)View hands-on material from the workshop.
Intro to Deep Learning on Big Red 200 (on GitHub)The Supercomputing for Everyone Series (SC4ES) aims to bring more users into the realm of advanced computing, whether it be visualization, computation, analytics, storage, or any related discipline. Research Technologies can take you to the next level of computing.
Supercomputing for Everyone Series workshops and seminars are led by personnel from Research Technologies, a division of University Information Technology Services and a center in the Pervasive Technology Institute at Indiana University.