fchollet/deep-learning-models

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.