Fundamentals of Deep Learning: Part 1 of 2
This workshop, designed by NVIDIA Deep Learning Institute (DLI), will cover foundational techniques for learning deep learning models, including CNNs, data augmentation, pretrained models, and natural language processing, with practical implementation in Python and PyTorch. The workshop objectives are to learn fundamental techniques and tools for training deep learning models, gain practical experience with common deep learning model architectures, and build confidence to tackle projects using modern deep learning frameworks.
Participants are required to have prior knowledge of Python and PyTorch. After successfully completing the assessment and attending both sessions, participants will receive an NVIDIA DLI certificate to validate their skills and enhance their career opportunities.
Presented by Kun Yang
- Date:
- Tuesday, February 11, 2025
- Time:
- 9:00am - 1:00pm
- Hosted by:
- O'Donnell Data Science and Research Computing Institute
- Space:
- Fondren Library 109
- Audience:
- Faculty/staff Graduates Undergraduates
- Categories:
- Scholarship and Research > Computational Skills
Any person who requires a reasonable accommodation on the basis of a disability in order to participate in this program should contact Contact Name and email at least one week prior to the event to arrange for the accommodation.