All architectures are compatible with both TensorFlow and Theano, and upon instantiation the models will be built according to the image dimension ordering set in your Keras configuration file at /.keras/keras.json. For instance, if you have set image_dim_ordering tf, then any model loaded from this repository will get built according to the TensorFlow dimension ordering convention, "Width-Height-Depth". Weights can be automatically loaded upon instantiation (weights'imagenet' argument in model constructor). Weights are automatically downloaded if necessary, and cached locally in /.keras/models/. Note that using these models requires the latest version of Keras (from the Github repo, not PyPI). Additionally, don't forget to cite Keras if you use these models.