On March 23, 2021 at 9 am PT (noon ET), Tae-Ho Kim, founder and CTO of Nota, will present the free half-hour webinar “Selecting and Combining Deep Learning Model Optimization Techniques for Enhanced On-device AI,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page:
Model optimization techniques such as pruning, quantization, filter decomposition, and NAS (neural architecture search) are becoming increasingly important in efficiently implementing deep learning on the edge. Challenges, including determining the optimum technique (potentially involving the combination of multiple different techniques) and defining hyperparameters for peak performance, historically demand deep technical expertise and significant resources in order to successfully achieve the optimization objective.
In this presentation, Nota’s Tae-Ho Kim will describe his company’s experiences with (and resultant perspectives on) various deep learning model optimization techniques, as well as demonstrating how multiple techniques can be combined to further improve performance. Kim will also discuss NetsPresso, Nota’s automatic model optimization platform. A question-and-answer session will follow the presentation.