Join us on December 17th at 5:30 pm for our final meetup of the year and learn how to leverage Graphics Processing Units (GPUs) for deep learning with biological data.
Our presentation, “Deep Learning with Biological Data: Keys to Parallel Computing with GPUs,” will be given by Leonard Sauvé, PhD student in bioinformatics. His research focuses on developing machine learning techniques for the rapid identification of risk associated with AML subtypes from RNA-seq data.
The talk will cover the challenges of optimizing deep learning models and how GPUs can reduce computational costs. We’ll explore transcriptomic profiles and single-cell data while discussing strategies to optimize complex model performance.
Following the presentation, we’ll host a hands-on workshop where you’ll learn how to define model architectures and parameters, run GPU-based optimizations, and test generalization performance with Python demos.
Please note that our event will be held in person. We look forward to seeing you all there!
PS: If you want to present at a future event, contact us via Meetup or by email at info[AT]monbug.ca