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"Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts," a Free Webinar from Xilinx

On May 24, 2017 at 1PM ET (10AM PT), Xilinx will deliver a free hour-long webinar entitled "Caffe to Zynq: State-of-the-Art Machine Learning Inference Performance in Less Than 5 Watts", in partnership with the Embedded Vision Alliance Here's the description, from the event registration page:

Machine learning research is advancing daily with new network architectures, making it difficult to choose the best CNN algorithm for a particular application. With this rapid rate of change in algorithms, embedded system developers who require high performance and low power consumption are increasingly considering Zync SoCs. Zynq SoCs are ideal for efficient CNN implementation as they allow creation of custom network circuitry in hardware, tuned exactly to the needs of the algorithm. The result is state-of-the-art performance-per-watt that outstrips CPU- and GPU-based embedded systems.

In this 40-minute webinar, Xilinx will present a method for easily migrating a CNN running in Caffe to an efficient Zynq-based embedded vision system utilizing Xilinx’s new reVISION software stack. A 15-minute question-and-answer session will follow the presentation.

For more information and to register for this free webinar, see the event registration page.

UPDATE: Now that the live webinar is over, see here for the on-demand archive.