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‎.DS_Store

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‎CMakeLists.txt

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CMAKE_MINIMUM_REQUIRED(VERSION 2.6 FATAL_ERROR)
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CMAKE_POLICY(VERSION 2.6)
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FIND_PACKAGE(Torch REQUIRED)
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ADD_TORCH_DOK(dok/supervised tutorials_supervised "Tutorials" "Supervised Learning" 1.0)
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ADD_TORCH_DOK(dok/unsupervised tutorials_unsupervised "Tutorials" "Unsupervised Learning" 1.1)
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ADD_TORCH_DOK(dok/graphicalmodels tutorials_graphical "Tutorials" "Graphical Models" 1.2)
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ADD_TORCH_DOK(dok/gui tutorials_gui "Tutorials" "Graphical User Interfaces" 1.3)
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SET(luasrc linear-regression/example-linear-regression.lua
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logistic-regression/example-logistic-regression.lua
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logistic-regression/example-logistic-regression.csv
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train-a-digit-classifier/train-on-mnist.lua
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train-a-digit-classifier/dataset-mnist.lua
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train-on-cifar/train-on-cifar.lua
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train-on-housenumbers/train-on-housenumbers.lua
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train-autoencoder/train-autoencoder.lua)
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ADD_TORCH_PACKAGE(tutorials "" "${luasrc}" "Tutorials")

‎README.html

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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd">
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<html>
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<head>
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<title>Torch7 Packages</title>
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<style>
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body {font-family:helvetica,arial; margin:auto; padding:0; width:600px;}
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a {color:#777;text-decoration:none;}
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h1 {color:#777;}
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h2 {color:#444;}
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code {background:#eee;color:#222;}
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</style>
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</head>
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<body>
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<h1 id="demos-turorials-for-torch7.">Demos &amp; Turorials for Torch7.</h1>
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<p>All the demos/tutorials provided in this repo require Torch7 to be installed, as well as some extra (3rd-party) packages.</p>
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<h2 id="install">Install</h2>
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<h3 id="torch7">Torch7</h3>
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<p>Follow instructions on: <a href="http://www.torch.ch/">Torch7's homepage</a>.</p>
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<h3 id="rd-party-packages">3rd-party packages</h3>
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<p>Different demos/tutorials rely on different 3rd-party packages. If a demo crashes because it can't find a package then simply try to install it using torch-pkg:</p>
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<pre class="sh"><code>$ torch-pkg install image # an image library for Torch7
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$ torch-pkg install nnx # lots of extra neural-net modules
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$ torch-pkg install camera # a camera interface for Linux/MacOS
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$ torch-pkg install ffmpeg # a video decoder for most formats
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$ ...</code></pre>
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<p>A complete list of packages can be obtained by doing:</p>
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<pre class="sh"><code>$ torch-pkg list</code></pre>
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<p>or checking out <a href="http://data.neuflow.org/torch">this page</a>.</p>
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<h3 id="documentation">Documentation</h3>
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<p>Torch's main documentation gets installed when you install Torch, and should be available <a href="file:///usr/local/share/torch/html/index.html">here</a>, or wherever you installed Torch.</p>
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<p>This repo also comes with documentation, in the form of tutorials. To make them available, simply issue the following command in this directory:</p>
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<pre class="sh"><code>$ torch-pkg deploy</code></pre>
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<p>After that, a list of tutorials will be available in the documentation.</p>
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<h2 id="tutorials">Tutorials</h2>
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<p>Each directory provides a tutorial or a demo, with no particular order. It's a good idea to have the local <a href="file:///usr/local/share/torch/html/index.html">Torch documentation</a> open on the side, for reference. As Torch is based on the Lua language, it's also a good idea to go through the <a href="http://www.lua.org/manual/5.1/">Lua 5.1</a> book.</p>
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<h2 id="credits">Credits</h2>
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<p>These demos were slowly put together by: Clement Farabet &amp; Roy Lowrance.</p>

‎README.md

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# Demos & Turorials for Torch7.
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All the demos/tutorials provided in this package
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require the following dependencies to be installed, in
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order to work.
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All the demos/tutorials provided in this repo require Torch7 to be installed,
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as well as some extra (3rd-party) packages.
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## Install dependencies on Linux (Ubuntu > 9.04):
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## Install
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1/ Basic tools
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### Torch7
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``` sh
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$ apt-get install gcc g++ git libreadline-dev cmake wget
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```
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Follow instructions on: [Torch7's homepage](http://www.torch.ch/).
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### 3rd-party packages
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2/ QT4 (at least 4.4)
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Different demos/tutorials rely on different 3rd-party packages. If a demo
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crashes because it can't find a package then simply try to install it using
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torch-pkg:
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``` sh
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$ apt-get install libqt4-core libqt4-gui libqt4-dev
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$ torch-pkg install image # an image library for Torch7
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$ torch-pkg install nnx # lots of extra neural-net modules
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$ torch-pkg install camera # a camera interface for Linux/MacOS
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$ torch-pkg install ffmpeg # a video decoder for most formats
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$ ...
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```
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3/ Extras
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A complete list of packages can be obtained by doing:
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``` sh
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$ apt-get install ffmpeg gnuplot
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$ torch-pkg list
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```
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## Install dependencies on Mac OS X > 10.5:
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0/ Install the dev tools (gcc/g++ from Apple),
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and we highly recommend to get Homebrew
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(http://mxcl.github.com/homebrew/) as a replacement
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for MacPorts.
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or checking out [this page](http://data.neuflow.org/torch).
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1/ Basic tools, using Homebrew:
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### Documentation
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``` sh
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$ brew install git readline cmake wget
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```
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Torch's main documentation gets installed when you install Torch, and should
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be available [here](file:///usr/local/share/torch/html/index.html), or wherever
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you installed Torch.
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2/ Install QT4 (at least 4.4)
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This repo also comes with documentation, in the form of tutorials. To make
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them available, simply issue the following command in this directory:
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``` sh
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$ brew install qt
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$ torch-pkg deploy
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```
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3/ Extras
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After that, a list of tutorials will be available in the documentation.
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``` sh
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$ brew install ffmpeg gnuplot
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```
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## Tutorials
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## Install Torch7 (full instructions on torch.ch) and extra packages
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Each directory provides a tutorial or a demo, with no particular order.
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It's a good idea to have the local
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[Torch documentation](file:///usr/local/share/torch/html/index.html) open
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on the side, for reference. As Torch is based on the Lua language,
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it's also a good idea to go through the [Lua 5.1](http://www.lua.org/manual/5.1/)
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book.
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``` sh
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$ git clone git://github.com/andresy/torch.git
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$ cd torch
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$ mkdir build; cd build
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$ cmake .. -DCMAKE_INSTALL_PREFIX=/usr/local
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$ make install
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```
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## Credits
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``` sh
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$ torch-pkg install image # an image library for Torch7
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$ torch-pkg install nnx # lots of extra neural-net modules
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$ torch-pkg install camera # a camera interface for Linux/MacOS
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$ torch-pkg install ffmpeg # a video decoder for most formats
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```
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These demos were slowly put together by: Clement Farabet & Roy Lowrance.

‎dok/graphicalmodels/index.dok

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====== Graphical models ======
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{{anchor:tutorials.graphical}}
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In this tutorial, we're going to learn how to define a graphical model,
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using the gm package, and do several things withe the model:
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* inference
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* decoding
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* training

‎dok/gui/index.dok

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====== Graphical User Interface ======
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{{anchor:tutorials.gui}}
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In this tutorial, we're going to learn how to construct GUIs
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(Grahical User Interfaces).

‎dok/supervised/convnet.png

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