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https://github.com/Seilim/CaffeLink

Mathematica library link wrapper for BVLC/Caffe
https://github.com/Seilim/CaffeLink

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Mathematica library link wrapper for BVLC/Caffe

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CaffeLink
=========

Mathematica library link wrapper for [Caffe](https://github.com/BVLC/caffe)

This library allows using Caffe directly from [Mathematica](http://www.wolfram.com/mathematica/). CaffeLink can be also used as regular library from C++ applications. The interface and function calls are basicly the same as in Mathematica.

### Installation
Assuming you have successfully build Caffe, you should have everything needed by CaffeLink.

1. Edit makefile as required
* path to Mathematica C headers
* path to Caffe and its headers
2. `make`
3. Copy or create link to `libcaffeLink.so` somewhere in `$LibraryPath`
* eg: `/home/alfons/.Mathematica/SystemFiles/LibraryResources/Linux-x86-64/`
* or: `/Users/alfons/Library/Mathematica/Applications/IPCU/LibraryResources/MacOSX-x86-64/`
4. Test installation with [liblink-test.nb](../master/module/demo/liblink-test.nb)

### Usage examples
* [LeNet](http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf) MNIST example based on [Caffe example](https://github.com/BVLC/caffe/tree/master/examples/mnist)
* Mathematica notebook: [mnist.nb](../master/module/demo/mnist.nb)
* Pdf: [mnist.pdf](../master/module/demo/mnist.pdf)

* [AlexNet](http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks) ImageNet example based on [Caffe example](http://nbviewer.ipython.org/github/BVLC/caffe/blob/master/examples/filter_visualization.ipynb)
* Mathematica notebook: [imageNet.nb](../master/module/demo/imageNet.nb)
* Pdf: [imageNet.pdf](../master/module/demo/imageNet.pdf)