(CLOSED) NVIDIA Training and Certification on Fundamentals of Deep Learning
The event reached capacity of 30 students. This is a requirement for running this type of training. More events of this type will happen in the Spring on campus. No more registrations are accepted.
Join the Pace AI Lab for more events. https://www.linkedin.com/showcase/pace-artificial-intelligence-lab
If you are accepted you will get a message telling you accepted and all other will get a message rejected by the end of the week.
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This training permits participants to:
Learn the fundamental techniques and tools required to train a deep learning model
Gain experience with common deep learning data types and model architectures
Enhance datasets through data augmentation to improve model accuracy
Leverage transfer learning between models to achieve efficient results with less data and computation
Build confidence to take on your own project with a modern deep learning framework
More information here: https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-FX-01+V3
Instructor: Prof. Giancarlo Crocetti, Adjunct Associate Professor, Pace University
Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency and support professional career growth.
This training is exclusively for verifiable academic students, staff, and researchers.
This event is brought to you by the Computer Department and the Pace AI Lab.