Fundamentals of Deep Learning
Please register here: https://purdue.ca1.qualtrics.com/jfe/form/SV_0vNS4DYI3hsRoGy
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
- 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
- PyTorch
- Convolutional Neural Networks (CNNS)
- Data Augmentation
- Transfer Learning
- Natural Language Processing