Deep Learning

R2026b

Create and run HDL applications using Deep Learning HDL Toolbox™

Develop deep learning algorithm by using Simulink^® blocks and implement deep learning networks on FPGAs and SoCs. Deep Learning HDL Toolbox enables you to customize the hardware implementation of your deep learning network and generate portable, synthesizable Verilog^® and VHDL^® code for deployment on any FPGA or SoC (with HDL Coder™ and Simulink).

Featured Examples

Get Started with Deep Learning FPGA Deployment on Intel Arria 10 SoC

Create, compile, and deploy a dlhdl.Workflow object that has a handwritten character detection series network object by using the HDL Coder™ Support Package for Intel® FPGA and SoC Devices. Use MATLAB® to retrieve the prediction results from the target device.

Open Live Script

Get Started with Deep Learning FPGA Deployment on Xilinx ZC706 SoC

Create, compile, and deploy a handwritten character detection series network to an FPGA and use MATLAB® to retrieve the prediction results.

(SoC Blockset)