tiny_dnn  1.0.0
A header only, dependency-free deep learning framework in C++11
alexnet.h
1 /*
2  Copyright (c) 2013, Taiga Nomi
3  Copyright (c) 2016, Taiga Nomi, Edgar Riba
4  All rights reserved.
5 
6  Redistribution and use in source and binary forms, with or without
7  modification, are permitted provided that the following conditions are met:
8  * Redistributions of source code must retain the above copyright
9  notice, this list of conditions and the following disclaimer.
10  * Redistributions in binary form must reproduce the above copyright
11  notice, this list of conditions and the following disclaimer in the
12  documentation and/or other materials provided with the distribution.
13  * Neither the name of the <organization> nor the
14  names of its contributors may be used to endorse or promote products
15  derived from this software without specific prior written permission.
16 
17  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY
18  EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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20  DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
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22  (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
23  LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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25  (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
26  SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
27 */
28 
29 //#include "tiny_dnn/tiny_dnn.h"
30 
31 using namespace tiny_dnn::activation;
32 using namespace tiny_dnn::layers;
33 
34 namespace models {
35 
36 // Based on: https://github.com/DeepMark/deepmark/blob/master/torch/image%2Bvideo/alexnet.lua
37 class alexnet : public network<sequential> {
38  public:
39  explicit alexnet(const std::string& name = "")
40  : network<sequential>(name) {
41  *this << conv<relu>(224, 224, 11, 11, 3, 64, padding::valid, true, 4, 4);
42  *this << max_pool<identity>(54, 54, 64, 2);
43  *this << conv<relu>(27, 27, 5, 5, 64, 192, padding::valid, true, 1, 1);
44  *this << max_pool<identity>(23, 23, 192, 1);
45  *this << conv<relu>(23, 23, 3, 3, 192, 384, padding::valid, true, 1, 1);
46  *this << conv<relu>(21, 21, 3, 3, 384, 256, padding::valid, true, 1, 1);
47  *this << conv<relu>(19, 19, 3, 3, 256, 256, padding::valid, true, 1, 1);
48  *this << max_pool<identity>(17, 17, 256, 1);
49  }
50 };
51 
52 } // namespace models
Definition: alexnet.h:37