A-framework-for-developing-Neural-Networks-in-hardware-accelerators

hls

This framework was part of the Diploma thesis titled "Architectures and Implementations of the Neural Network LeNet-5 in FPGAs". The main goal of this thesis was to create a LeNet-5 implementation in an FPGA development board, but also form a reusable framework/workflow which can be modified to model and develop other Neural Networks as well.

How to download and setup A-framework-for-developing-Neural-Networks-in-hardware-accelerators

Open terminal and run command

git clone https://github.com/georgevangelou/A-framework-for-developing-Neural-Networks-in-hardware-accelerators.git

git clone is used to create a copy or clone of A-framework-for-developing-Neural-Networks-in-hardware-accelerators repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with A-framework-for-developing-Neural-Networks-in-hardware-accelerators https://github.com/georgevangelou/A-framework-for-developing-Neural-Networks-in-hardware-accelerators/archive/master.zip

Or simply clone A-framework-for-developing-Neural-Networks-in-hardware-accelerators with SSH

[email protected]:georgevangelou/A-framework-for-developing-Neural-Networks-in-hardware-accelerators.git

If you have some problems with A-framework-for-developing-Neural-Networks-in-hardware-accelerators

You may open issue on A-framework-for-developing-Neural-Networks-in-hardware-accelerators support forum (system) here: https://github.com/georgevangelou/A-framework-for-developing-Neural-Networks-in-hardware-accelerators/issues

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