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Fundamentals of Deep Learning-Workshop2

April 7 @ 9:00 am - 1:30 pm

These are two NVIDIA workshops and attendees who have registered must attend both sessions, on March 31st and April 7<a href="http://th.

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Fundamentals of Deep Learning is a hands-on workshop designed by NVIDIA that introduces how businesses use AI, particularly deep learning, to solve real-world challenges across industries such as healthcare, retail, and automotive. Participants learn the fundamentals of training deep learning models, including techniques such as data augmentation and transfer learning. Through practical exercises and a final project, students build models from scratch and leverage pre-trained models, with all hands-on modules running on NVIDIA-hosted cloud resources. Those who complete the project and assessments receive an NVIDIA certificate. Space is limited to 40 <a href="http://participants.
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More information: <a href="https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/

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Co-sponsored”>https://www.nvidia.com/en-sg/training/instructor-led-workshops/fundamentals-of-deep-learning/

Co-sponsored by: Faculty of Science and Technology, Humber Polytechnic / NVIDIA

Speaker(s): Dr. Ernest Namdar, Ernest Namdar

Agenda:
Learning Objectives

By participating in this workshop, you’ll:

– 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<a href="https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdf

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Room:”>https://www.nvidia.com/content/dam/en-zz/Solutions/deep-learning/deep-learning-education/dli-fundamentals-of-deep-learning-1369828-r3-web.pdf

Room: J134-NORTH BUILDING, 205 Humber College Blvd, 1502, Toronto, Ontario, Canada, M9W 5L7