DNNE is an intuitive DNNs editor. You draw your neural net's graph, and it generates its code in Python using keras or Tensorflow libraries.
This project was made by Hanahem Wassim, Duquesne tristan, Sabass Melissa, Kaced Yanis, under the supervision of Prof. David Janiszek @Paris Descartes University.
-app.js : uses AngularJS to frame the webpage -bulma.css : contains all the styles of the page -decoders.js : contains the functions to transform a model into code output -dragdropMaker.js : contains the functions for adding new layers via d-n-d -index.html : contains the webpage's div structure -inspector.js : contains the functions that allow for the editing of values in the model -script.js : contains the initialization function which defines most of the software -style.css : ? -unitTests.js : contains a few basic unitTests (not exhaustive) -utils.js : contains various utilitary functions that are called throughout the code