Play Webinar

Title: How to Develop High-Performance Deep Learning Applications on FPGA-based Edge Devices

Description: Machine Learning (ML) is becoming a fundamental part of almost any computer vision-based application on the edge. From pedestrian detection in ADAS to cancer diagnosis in medical, and quality assurance in agriculture. However, there are challenges involved in developing an optimized and high-precision machine learning applications on the edge such as selecting the right processing system and neural network. FPGAs, as edge computing units, have shown a solid potential on improving the performance of ML applications. Aldec has recently developed DNN-based object detection applications on TySOM-3A-ZU19EG embedded development board (using Xilinx® Zynq™ MPSoC™ FPGA) for its customers to kick start their ML projects. In this webinar, you will learn about the ML application development process and what tools are required to simplify the design and implementation for FPGA-based machine learning applications.

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