Add extra features like the activations class, that can display a layer activations, and the possibility to load pretrainned networks. We could start by defining the AlexNET and VGG16 networks but this could be extended with an exporting/importing tool to unload/load CNNs' architecture and weights in files. Add documented use cases to create a tutorial.
Through the whole process I plan to keep the code well documented using Doxygen. In case we manage to use the Tensorflow's Python interface, we could look for another way of doing it (like Sphinx).
[[Category: Summer of Code]]