[RCAC Workshop] Fundamentals of Deep Learning - FULL
This workshop is at capacity and registration has been closed.
To ensure that registrants will have a seat, the room location is sent directly to those who have registered.
Fundamentals of Deep Learning is offered by RCAC in collaboration with Nvidia's Deep Learning Institute for Purdue faculty, staff, and students. This in-person workshop provides foundational knowledge and hands-on experience in deep learning. Some background in Python is suggested.
Learning Objectives
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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
Topics Covered
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PyTorch -
Convolutional Neural Networks (CNNS) -
Data Augmentation -
Transfer Learning -
Natural Language Processing
To register, visit the registration link