ACES: AI/ML TechLab - Accelerating AI/ML Workflows on a Composable Cyberinfrastructure
Overview
Instructor: Zhenhua He
Time: Tuesday, October 3, 2023 10:00AM-12:30PM CT
Location: Online using Zoom
Prerequisites: Current ACCESS ID, Python
This technology lab contains a set of sessions to help a new user start an AI project on the ACES cluster, a composable accelerator testbed at Texas A&M University. You will learn how to create and activate virtual environment, manipulate and visualize data with Pandas and Matplotlib, use Scikit-learn for linear regression and classification applications, and use Pytorch to create and train a simple image classification model with deep neural networks (DNN).
Course Materials
Presentation slides
The presentation slides are available as downloadable PDF files.
- ACES AI Techniques and Usage - Jupyter Notebook Tech Lab (Spring 2023): PDF
Agenda
The goals of this session are to:
- Lab 1 - Jupyter Notebook (15 mins)
We will create and activate a virtual environment and run JupyterLab on the HPRC Portal.
- Lab 2 - Data Exploration (30 mins)
We will go through simple examples with two popular Python modules: Pandas and Matplotlib for simple data exploration.
- Lab 3 - Machine Learning (30 minutes)
We will learn to use scikit-learn for linear regression and classification applications.
- Lab 4 - Deep Learning (30 minutes)
We will learn how to use Pytorch to create and train a simple image classification model with deep neural networks (DNN).