ACES: AI TechLab in Jupyter Notebooks
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.
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).