HAL Fall 2020 Training

NCSA is organizing on-line training sessions throughout the Fall 2020 semester to help users to get started with deep learning projects on HAL. These sessions are designed for novice users to learn about the system and start building deep neural network models. To sign up for training, just request a HAL account prior to the training session and mention "fall training" when describing how the system will be used in your project.

September 23, 3:00-5:00 p.m.: ONLINE

This tutorial will show how to gain access to the system, how to interact with the system through Open OnDemand interface, including Jupiter notebook, and through command line interface.

October 7, 3:00-5:00 p.m.: ONLINE

This tutorial will introduce how machine learning can be accomplished with neural networks and will go over various examples from simple dense networks to convolutional network architectures using TensorFlow on HAL system.

November 4, 3:00-5:00 p.m.: ONLINE

This tutorial will introduce main concepts from reinforcement leaning and how reinforcement leaning can be implemented on HAL system.