NVIDIA WEBINAR
Image segmentation deals with placing each pixel of an image into specific classes that share common characteristics. It’s widely used in many fields, including manufacturing, autonomous driving, medical imaging, and more.
However, building, training, and optimizing an image segmentation model can be quite time consuming for novices and experts alike. To achieve a state-of-the-art model, you need to set up the right environment, train with the correct hyperparameters, and optimize it to achieve the desired accuracy. In this webinar, you’ll explore the NVIDIA® NGC™ catalog—which has a whole host of GPU-optimized AI software such as containers, pre-trained models, and use case-based Jupyter notebooks—and how to use these resources to kickstart your AI journey.
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Akhil Docca is a senior product marketing manager for NGC at NVIDIA, focusing in HPC and DL containers. Akhil has a Master’s in Business Administration from UCLA Anderson School of Business and a Bachelor’s degree in Mechanical Engineering from San Jose State University.
Shokoufeh is a technical marketing engineer at NVIDIA, focusing on deep learning models. Shokoufeh obtained her Phd degree in computer engineering from Arizona State University, where she focused on driver behavior analysis and driver distraction detection with deep learning models.
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Date & Time: Wednesday, April 22, 2018