The Fundamentals of Deep Learning
Friday, June 10, 2022
9:00 am - 5:00 pm
This is a limited capacity event. There are 20 available seats, open only to UH-affiliated students, faculty and staff.
About the Event
Businesses worldwide are using artificial intelligence to solve their greatest challenges. Healthcare professionals use AI to enable more accurate, faster diagnoses in patients. Retail businesses use it to offer personalized customer shopping experiences. Automakers use it to make personal vehicles, shared mobility, and delivery services safer and more efficiently. 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.
In this workshop, you’ll learn how deep learning works through hands-on exercises in computer vision and natural language processing. You’ll train deep learning models from scratch, learning tools and tricks to achieve highly accurate results. You’ll also learn to leverage freely available, state-of-the-art pre-trained models to save time and get your deep learning application up and running quickly.
About the Speaker
Dr. Weihang Zhu received his BS and MS in Mechanical and Energy Engineering from Zhejiang University and Ph.D. in Industrial and Systems Engineering from North Carolina State University. He is a certified University Ambassador by NVIDIA Deep Learning Institute (DLI). Currently he serves as Professor and Graduate Program Coordinator for Mechanical Engineering Technology program in the Department of Engineering Technology, with a joint appointment in the Department of Mechanical Engineering, University of Houston, Houston, Texas. His research expertise areas include machine learning, computational optimization, computer-aided design and manufacturing, computer haptics (sense of touch), mariner and offshore safety, and engineering education. He has secured $5.7M ($2.6M as Principal Investigator) funding from multiple funding agencies including National Science Foundation, National Academies of Science, Engineering and Medicine, and American Bureau of Shipping.
· UH Maps: https://www.uh.edu/maps/#/find/MREB
· Google Maps: https://goo.gl/maps/LLfoUyQG5MocFZH68
Please register with your UH email. Please be aware that you must bring your own laptops. Pizzas will be served for lunch.
- Hewlett Packard Enterprise Data Science Institute (HPE DSI) University of Houston Durga D. and Sushila Agrawal Engineering Research Building. Workshop Room: AERB 200