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3rd-party-licenses.txt
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Third Party Licenses
This project is based on or incorporates material from the projects listed
below (Third Party IP). The original copyright notice and the license under
which Bosch received such Third Party IP, are set forth below.
--------------------------------------------------------------------------
Overview
--------------------------------------------------------------------------
Name: Theano tutorial
Version: Tutorial for Theano 0.7
URL: http://deeplearning.net/tutorial/
License: BSD-3-Clause
Copyright: Copyright (c) 2008--2013, Theano Development Team
Name: Soumith Chintala's convent-benchmarks
URL: https://github.com/soumith/convnet-benchmarks
License: MIT
Copyright: Copyright (c) 2016, Soumith Chintala
Name: Soumith Chintala's imagenet-multiGPU.torch
URL: https://github.com/soumith/imagenet-multiGPU.torch
License: BSD-2-Clause
Copyright: Copyright (c) 2016, Soumith Chintala
Name: TensorFlow
Version: r0.7
URL: https://github.com/tensorflow/tensorflow
License: Apache-2.0
Copyright: Copyright 2015 The TensorFlow Authors.
Name: Neon
Version: 1.3.0
URL: https://github.com/NervanaSystems/neon
License: Apache-2.0
Copyright: Copyright 2015 Nervana Systems Inc.
Name: theano_alexnet
URL: https://github.com/uoguelph-mlrg/theano_alexnet
License: BSD-3-Clause
Copyright: Copyright (c) 2014, Weiguang Ding, Ruoyan Wang, Fei Mao and
Graham Taylor
--------------------------------------------------------------------------
Licenses
--------------------------------------------------------------------------
a. Theano tutorial
Copyright (c) 2008--2013, Theano Development Team
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* 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.
* Neither the name of Theano nor the names of its contributors may be
used to endorse or promote products derived from this software without
specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ''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 HOLDERS BE LIABLE FOR ANY
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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.
b. Soumith Chintala's convent-benchmarks
The MIT License (MIT)
Copyright (c) 2016 Soumith Chintala
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
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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
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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SOFTWARE.
c. Soumith Chintala's imagenet-multiGPU.torch
Copyright (c) 2016, Soumith Chintala
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* 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 ''AS IS'' AND ANY
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(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.
d. TensorFlow
Copyright 2015 The TensorFlow Authors. All rights reserved.
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
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Licensed under the Apache License, Version 2.0 (the "License");
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e. Neon
Copyright 2015 Nervana Systems Inc.
Licensed under Apache License Version 2.0, January 2004.
Find the license notice above.
f. theano_alexnet
Copyright (c) 2014, Weiguang Ding, Ruoyan Wang, Fei Mao and Graham Taylor
All rights reserved.
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.
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and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its contributors
may be used to endorse or promote products derived from this software
without specific prior written permission.
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AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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