(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.