The library was created in order to extend Cleverhans models.
The main goal is to ease the design process for new models by introducing the train_graph.py abstraction and other layers such as lrn.py.
The inspiration comes from Cleverhans. For the moment all models are extended to use name_scopes. Moreover, new architectures will be implemented in the get_model.py file.
pip install pip install dnnmodels
git clone https://github.com/NullConvergence/dnn-models
pip install -e ./dnn-models
- At the moment there is only one example:
mnist.py