Overview

Instructor: Zhenhua He

Time: Tuesday, February 20, 2024 — 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/ML TechLab (Spring 2024): PDF

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• ACES: AI/ML TechLab (Fall 2023): PDF
• ACES AI Techniques and Usage - Jupyter Notebook Tech Lab (Spring 2023): PDF

Agenda

The objectives of each lab this session are:

• 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).