#Densely Connected Convolutional Network (DenseNet) This repository contains the code for the paper Densely Connected Convolutional Network. Ported to Keras.

The model building code has been ported from the torch implementation found here.

The training code is from keras examples.

All credit to the original authors.

#File Descriptions

densenet.py: Model building code model.png: Model architecture block diagram

#DISCLAIMER

This is a work in progress, and is NOT complete. Right now I only have code whch builds the model architecture. The model needs to be trained and tested to see if it matches the results of the papers. If you would like to help out with training and have GPUs available that would speed up the process that would be helpful. Use at your own risk.

#Keras License

COPYRIGHT

All contributions by François Chollet: Copyright (c) 2015, François Chollet. All rights reserved.

All contributions by Google: Copyright (c) 2015, Google, Inc. All rights reserved.

All other contributions: Copyright (c) 2015, the respective contributors. All rights reserved.

Each contributor holds copyright over their respective contributions. The project versioning (Git) records all such contribution source information.

LICENSE

The MIT License (MIT)

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.