Ram Cherukuri, MathWorks
Learn how you can generate code from a trained deep neural network in MATLAB® for Intel® processors that support the Advanced Vector Extension 2 (AVX2) instruction set like the Intel Xeon family of processors. Pedestrian detection is used as the deep learning application example and the generated code is deployed on an Intel Xeon processor.
The generated code leverages the Intel MKL-DNN library, which is an open source performance library for deep learning applications, providing vectorized and threaded building blocks optimized for Intel architectures. The neural network for pedestrian detection is shown running on an Intel Xeon E5 v3 processor at about 30 fps.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .Select web site
You can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.