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.

Installation

pip Installation:

pip install pip install dnnmodels

Manual Installation:

git clone https://github.com/NullConvergence/dnnmodels

pip install -e ./dnnmodels

Examples

• At the moment there is only one example: mnist.py