CNN using HLS

I am pleased to announce the release of the code for the article “How to Implement a Convolutional Neural Network Using High-Level Synthesis”.

Synopsis

The previous article discussed three main aspects:

1. The used approach to implement a Convolutional Neural Network (CNN)
2. The elements that I took into account when choosing the neural network architecture
3. The specific High-Level Synthesis constructs that helped to achieve the targeted performance.

Download

Now you can download the code from GitHub.
The GIT repository contains:

• The CNN implementation
• The python codes used for training
• Modules for each type of layer (convolutional, pooling and fully connected) used for development and testing
• Short guide on how to set up and run the code

The CNN code is provided as an OpenSource implementation under Apache License 2.0.
I welcome your feedback!