- Deploying Deep Learning Networks on resource constrained targets
- Semantic segmentation example of trained network compression while preserving accuracy
- Generate code for deploying Deep Networks to Arm devices
Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.
About the Presenters
Greg is the product marketing manager for Fixed-Point Designer and Deep Learning Toolbox Model Quantization Library. He has experience in the development of embedded systems and product development in the semiconductor industry. He received an MBA from Worcester Polytechnic Institute, an M.S. in Electrical Engineering from the University of Massachusetts Lowell, and received a B.S. in Electrical Engineering from WPI.
Brenda Zhuang is a software engineering manager and leads a team that develops software tools for automatic deployment of embedded applications in microprocessors and FPGAs. Brenda has contributed to the development and evolution of many new features in the MATLAB and Simulink product families. She received her Ph.D. in Systems Engineering from Boston University and M.S. in Electrical and Electronics Engineering from Hong Kong University of Science and Technology.