Yu Wang

Yu Wang is a senior engineer on the Intelligent Video Analytics team working on creating deep learning pipelines/models and deploying them to the edge. Before joining NVIDIA in 2017, he obtained his PhD in the School of Electrical and Computer Engineering at Purdue University. His research interests are in image processing, computer vision, and deep learning.

Posts by Yu Wang


Preparing State-of-the-Art Models for Classification and Object Detection with the NVIDIA Transfer Learning Toolkit

Accuracy is one of the most important metrics for deep learning models. Greater accuracy is a prerequisite for deploying the trained models to production to… 23 MIN READ

Training Instance Segmentation Models Using Mask R-CNN on the NVIDIA Transfer Learning Toolkit

To convert pixels to actionable insights, computer vision relies on deep learning to provide an understanding of the environment. Object detection is a commonly… 13 MIN READ
AI / Deep Learning

Training with Custom Pretrained Models Using the NVIDIA Transfer Learning Toolkit

Supervised training of deep neural networks is now a common method of creating AI applications. To achieve accurate AI for your application… 18 MIN READ