Deep Learning
R2026bPrototype different network architectures on supported Altera® FPGAs and SoCs
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 and SoC hardware.
HDL Coder™ Support Package for Intel® FPGA and SoC Devices provides bitstreams to prototype different networks' architectures such as Series networks and YOLO on the various supported Altera FPGAs and SoCs. Supported boards include the Altera Arria® 10 SoC development board and the Altera Arria 10 GX FPGA board.
Categories
- Prototype Deep Learning Networks on FPGA
Create a bitstream containing user programming and download it to Intel FPGA and SoC devices
- Time Series and Sequence Data Networks
Deploy networks trained for time series classification, regression, and forecasting tasks to target FPGA and SoC boards
- Deep Learning Processor Customization and IP Generation
Configure, build, and generate custom bitstreams and processor IP cores, estimate and benchmark custom deep learning processor performance
