The project goal is to develop several IP cores that would implement artificial neural networks using FPGA resources. These cores will be designed in such a way to allow easy integration in the Xilinx EDK framework.

Project Activity

See All Activity >

License

Academic Free License (AFL), GNU General Public License version 2.0 (GPLv2)

Follow Neural Network FPGA Implementation

Neural Network FPGA Implementation Web Site

Other Useful Business Software
Stay in Flow. Let Zenflow Handle the Heavy Lifting. Icon
Stay in Flow. Let Zenflow Handle the Heavy Lifting.

Your AI engineering control center. Zenflow turns specs into shipped features using parallel agents and multi-repo intelligence.

Zenflow is your engineering control center, turning specs into shipped features. Parallel agents handle coding, testing, and refactoring with real repo context. Multi-agent workflows remove bottlenecks and automate routine work so developers stay focused and in flow.
Try free now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Neural Network FPGA Implementation!

Additional Project Details

Intended Audience

Education, Engineering, Science/Research

Programming Language

MATLAB, VHDL/Verilog

Related Categories

MATLAB Education Software, MATLAB Machine Learning Software, MATLAB Neural Network Libraries, VHDL/Verilog Education Software, VHDL/Verilog Machine Learning Software, VHDL/Verilog Neural Network Libraries

Registered

2009-05-13