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Deep Learning HDL Toolbox Support Package for Xilinx FPGA and SoC Devices

Prototype and deploy deep learning networks on Xilinx FPGA and SoC devices

Deep Learning HDL Toolbox™ provides pre-built deep learning processor implementation for deploying various network architectures on FPGAs and SoCs from MATLAB®. It provides MATLAB APIs for prototyping neural networks on FPGA hardware. With MATLAB as the test bench, it enables design exploration and provides tools to profile and estimate performance on FPGA or SoC hardware.

Deep Learning HDL Toolbox Support Package for Xilinx® FPGA and SoC Devices provides bitstreams to prototype different networks' architectures such as Series networks and YOLO on the various supported Xilinx FPGAs and SoCs. Supported devices include Xilinx Zynq® SoC boards such as ZC706 and Zynq Ultrascale+ MPSoC boards such as ZCU102.

Setup and Configuration

Install hardware support, update firmware, configure hardware connection

Deploy

Create bitstream containing user programming and download it to Xilinx FPGA and SoC devices