This two-part workshop will introduce deep learning techniques and applications. 

Deep learning is a powerful AI approach that uses multi-layered artificial neural networks to deliver state-of-the-art accuracy in tasks such as object detection, speech recognition, and language translation. Using deep learning, computers can learn and recognize patterns from data that are considered too complex or subtle for expert-written software. Each session is roughly divided into 3 hours of interactive teaching and 1 hour of extra Q&A.

Three components below will spread over the two sessions:

• The mechanics of deep learning with a focus on computer vision. 
• Use pre-trained models and deep learning models to solve problems. 
• Object classification and research applications. 

Upon successful completion of the assessment, you’ll receive an NVIDIA certificate.

Important

This is a two-part course. Make sure you can attend both sessions before you register. 
A laptop is required to participate. Students can borrow a laptop through the library’s Tech Lending program. 

Prerequisites:

• An understanding of fundamental programming concepts in Python 3, such as functions, loops, dictionaries, and arrays; familiarity with Pandas data structures; and an understanding of how to compute a regression line. Suggested materials to satisfy prerequisites: Python Beginner’s Guide.