## License Information

### CoreMLDemos

MIT License

Copyright (c) 2018 Secret Lab Pty Ltd

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.

This software includes third-party source code, the use of which is hereby acknowledged:

UIImage+PixelBuffer.swift:
Copyright (c) 2017 Philipp Gabriel. Released under the terms of the MIT License.
https://github.com/ph1ps/MNIST-CoreML

### Model Licenses:

FNSCandy.mlmodel, FNSFeathers.mlmodel, FNSLaMuse.mlmodel, FNSMosaic.mlmodel, FNSTheScream.mlmodel, FNSUdnie.mlmodel: Free for personal or research use. For further information, see https://github.com/jcjohnson/fast-neural-style

Inceptionv3.mlmodel:

MIT License
Copyright (c) 2016 François Chollet
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
https://github.com/fchollet/keras/blob/master/LICENSE

SqueezeNet.mlmodel:

BSD License

Redistribution and use in source and binary forms, with or without modification, are permitted
provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions
and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions
and the following disclaimer in the documentation and/or other materials provided with the
distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER
IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF
THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

https://github.com/DeepScale/SqueezeNet/blob/master/LICENSE

MNIST.mlmodel:

MIT License

Copyright (c) 2017 Philipp Gabriel

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.

VGG16.mlmodel:

Creative Commons Attribution 4.0 International (CC BY 4.0)
<https://creativecommons.org/licenses/by/4.0/>

http://www.robots.ox.ac.uk/~vgg/research/very_deep/

Cats and Dogs dataset:

Subject to the terms accessible at https://www.kaggle.com/c/dogs-vs-cats.

Amazon Review Dataset:

LICENSE

By accessing the Amazon Customer Reviews Library ("Reviews Library"), you agree that the 
Reviews Library is an Amazon Service subject to the Amazon.com Conditions of Use 
(https://www.amazon.com/gp/help/customer/display.html/ref=footer_cou?ie=UTF8&nodeId=508088) 
and you agree to be bound by them, with the following additional conditions:
 
In addition to the license rights granted under the Conditions of Use, 
Amazon or its content providers grant you a limited, non-exclusive, non-transferable, 
non-sublicensable, revocable license to access and use the Reviews Library 
for purposes of academic research. 
You may not resell, republish, or make any commercial use of the Reviews Library 
or its contents, including use of the Reviews Library for commercial research, 
such as research related to a funding or consultancy contract, internship, or 
other relationship in which the results are provided for a fee or delivered 
to a for-profit organization. You may not (a) link or associate content 
in the Reviews Library with any personal information (including Amazon customer accounts), 
or (b) attempt to determine the identity of the author of any content in the 
Reviews Library. 
If you violate any of the foregoing conditions, your license to access and use the 
Reviews Library will automatically terminate without prejudice to any of the 
other rights or remedies Amazon may have.