Creating Custom Primitives for the Intel® FPGA Deep Learning Acceleration Suite

The Intel® FPGA Deep Learning Acceleration (DLA) Suite provides users with the tools and optimized architectures to accelerate inference using a variety of today’s common Convolutional Neural Network (CNN) topologies with Intel® FPGAs. The Intel® FPGA DLA Suite, included as part of OpenVINO™ toolkit, also makes it easy to write software that targets FPGA for machine learning inference. In this training, we will talk about how to easily add custom primitives to the Intel® FPGA DLA suite that can be access from the OpenVINO toolkit.




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