Intro to Deep Learning

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)

View hands-on material from the workshop.

Intro to Deep Learning on Big Red 200 (on GitHub)