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@@ -129,9 +129,9 @@
<h2 id="author"><a name="author"></a>Author:</h2>
<ul>
<li>Name: <a href="../../authors.html#J_David_Lowe">J. David
Lowe</a><br> Location: <a href="../../location.html#US">US</a> -
<em>United States of America</em> (<em>United States</em>) <br><br></li>
<li>Name: <a href="../../authors.html#J_David_Lowe">J. David Lowe</a><br>
Location: <a href="../../location.html#US">US</a> - <em>United States of America</em> (<em>United States</em>)
<br><br></li>
</ul>
<!-- END: next line ends content generated by: bin/output-index-author.sh -->
@@ -145,444 +145,281 @@ Lowe</a><br> Location: <a href="../../location.html#US">US</a> -
<p>The current status of this entry is:</p>
<pre><code>STATUS: missing or dead link - please provide them
STATUS: INABIAF - please **DO NOT** fix</code></pre>
<p>For more detailed information see <a
href="../../bugs.html#2011_dlowe">2011 dlowe bugs</a>.</p>
<p>For more detailed information see <a href="../../bugs.html#2011_dlowe">2011 dlowe bugs</a>.</p>
<h2 id="to-use">To use:</h2>
<div class="sourceCode" id="cb3"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-</span><span class="op">&lt;</span>n_iterations<span class="op">&gt;</span> corpus1/ <span class="pp">[</span><span class="ss">...</span><span class="pp">]</span> corpus0/ <span class="op">&lt;</span> start.net <span class="op">&gt;</span> trained.net</span></code></pre></div>
<p>NOTE: In the above command, the directory args MUST end in a
<code>/</code>.</p>
<p>NOTE: In the above command, the directory args MUST end in a <code>/</code>.</p>
<p>Then to use <code>trained.net</code>:</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> file [file ...] <span class="op">&lt;</span> trained.net</span></code></pre></div>
<h2 id="try">Try:</h2>
<p>Try these pre-trained networks:</p>
<div class="sourceCode" id="cb5"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./try.sh</span></span></code></pre></div>
<p>NOTE: The <code>dlowe-aux-data/</code> directory, which <a
href="try.sh">try.sh</a> refers to, was created by:</p>
<p>NOTE: The <code>dlowe-aux-data/</code> directory, which <a href="try.sh">try.sh</a> refers to, was
created by:</p>
<div class="sourceCode" id="cb6"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="fu">tar</span> <span class="at">-jxf</span> dlowe-aux-data.tar.bz2</span></code></pre></div>
<h2 id="judges-remarks">Judges’ remarks:</h2>
<p>This entry is a ghoulish example of a brain (dead?) neural network
classifier. It comes with a set of corpora for you to try.</p>
<h3
id="ioccc-winlose-trained.net"><code>ioccc-winlose-trained.net</code></h3>
<p>You can create your own trained networks. For example, we trained a
network on the C code of entries that were supplied to the 20Th
IOCCC.</p>
<p>The <code>ioccc-winlose-trained.net</code> was trained using the <a
href="earlystop.pl">earlystop.pl</a> tool:</p>
<p>This entry is a ghoulish example of a brain (dead?) neural network classifier.
It comes with a set of corpora for you to try.</p>
<h3 id="ioccc-winlose-trained.net"><code>ioccc-winlose-trained.net</code></h3>
<p>You can create your own trained networks. For example, we trained a network
on the C code of entries that were supplied to the 20Th IOCCC.</p>
<p>The <code>ioccc-winlose-trained.net</code> was trained using the
<a href="earlystop.pl">earlystop.pl</a> tool:</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="fu">rm</span> <span class="at">-f</span> ioccc-winlose-trained.net</span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a><span class="ex">./earlystop.pl</span> ioccc-winlose-trained.net ioccc_won_training/ ioccc_lost_training/ ioccc_won_test/ ioccc_lost_test/</span></code></pre></div>
<p>where:</p>
<ul>
<li><p><code>ioccc_won_training/</code> 1/2 of C code of the 20th IOCCC
entries (except for <a href="dlowe.c">dlowe.c</a> from 2011) plus 1/2 of
the C code winning entries from prior IOCCC contests</p></li>
<li><p><code>ioccc_won_test/</code> 1/2 of C code of the 20th IOCCC
entries (except for <a href="dlowe.c">dlowe.c</a> from 2011) plus 1/2 of
the C code winning entries from prior IOCCC contests</p></li>
<li><p><code>ioccc_lost_training/</code> 1/2 of C code from entries that
that did not win</p></li>
<li><p><code>ioccc_lost_test/</code> 1/2 of C code from entries that
that did not win</p></li>
<li><p><code>ioccc_won_training/</code>
1/2 of C code of the 20th IOCCC entries (except for <a href="dlowe.c">dlowe.c</a> from 2011)
plus 1/2 of the C code winning entries from prior IOCCC contests</p></li>
<li><p><code>ioccc_won_test/</code>
1/2 of C code of the 20th IOCCC entries (except for <a href="dlowe.c">dlowe.c</a> from 2011)
plus 1/2 of the C code winning entries from prior IOCCC contests</p></li>
<li><p><code>ioccc_lost_training/</code>
1/2 of C code from entries that that did not win</p></li>
<li><p><code>ioccc_lost_test/</code>
1/2 of C code from entries that that did not win</p></li>
</ul>
<p>NOTE: The above directories were not shipped and everything from the
entries that did not win were flushed to <code>/dev/null</code>.</p>
<p>NOTE: The above directories were not shipped and everything from the entries
that did not win were flushed to <code>/dev/null</code>.</p>
<p>The <a href="earlystop.pl">earlystop.pl</a> tool wrote:</p>
<pre><code>training 1 to 1001...
training 1001 to 2001...
prior error = 56.746974766043; current error = 58.095691135305</code></pre>
<p>The resulting <code>ioccc-winlose-trained.net</code> file was
included in the <a
href="dlowe-aux-data.tar.bz2">dlowe-aux-data.tar.bz2</a> tarball.</p>
<p>The <a href="dlowe.c">dlowe.c</a> was explicitly excluded from this
trailing set, so this test is interesting:</p>
<p>The resulting <code>ioccc-winlose-trained.net</code> file was included in the
<a href="dlowe-aux-data.tar.bz2">dlowe-aux-data.tar.bz2</a> tarball.</p>
<p>The <a href="dlowe.c">dlowe.c</a> was explicitly excluded from this trailing set, so this
test is interesting:</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> dlowe.c <span class="op">&lt;</span> dlowe-aux-data/ioccc-winlose-trained.net</span></code></pre></div>
<p>NOTE: this is done in <a href="try.sh">try.sh</a>.</p>
<p>The match of <a href="dlowe.c">dlowe.c</a> to the lose/win trailed
network was:</p>
<p>The match of <a href="dlowe.c">dlowe.c</a> to the lose/win trailed network was:</p>
<pre><code>dlowe.c 0.125108</code></pre>
<p>NOTE: The non-artificially intelligent decisions of the IOCCC judges
include random quirks and their non-linear judgment calls not found in
the ioccc trained network. Just because C code is or isn’t scored highly
by this network does not mean it will win or lose a future IOCCC. On the
other hand … it just might!</p>
<p>NOTE: The non-artificially intelligent decisions of the IOCCC judges include random
quirks and their non-linear judgment calls not found in the ioccc trained network.
Just because C code is or isn’t scored highly by this network does not
mean it will win or lose a future IOCCC. On the other hand … it just might!</p>
<h4 id="other-data-sets-to-try">other data sets to try</h4>
<p>While we cannot supply you with the losing IOCCC source code, the
author did supply a number data sets on which to test:</p>
<p>We created the <a
href="dlowe-aux-data/english-trained.net">english-trained.net</a> as
follows:</p>
<div class="sourceCode" id="cb11"><pre
class="sourceCode sh"><code class="sourceCode bash"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-8000</span> dlowe-aux-data/english-1/ dlowe-aux-data/english-0/ <span class="op">&lt;</span> /dev/null <span class="op">&gt;</span> dlowe-aux-data/english-trained.net</span></code></pre></div>
<p>While we cannot supply you with the losing IOCCC source code, the author did supply a number
data sets on which to test:</p>
<p>We created the <a href="dlowe-aux-data/english-trained.net">english-trained.net</a> as follows:</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb11-1"><a href="#cb11-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-8000</span> dlowe-aux-data/english-1/ dlowe-aux-data/english-0/ <span class="op">&lt;</span> /dev/null <span class="op">&gt;</span> dlowe-aux-data/english-trained.net</span></code></pre></div>
<ul>
<li><p><a href="dlowe-aux-data/english-0/">dlowe-aux-data/english-0/</a>
Non-English (French) text</p></li>
<li><p><a href="dlowe-aux-data/english-1">dlowe-aux-data/english-1/</a>
English (non-French) text</p></li>
</ul>
<p>We created the <a
href="dlowe-aux-data/png-trained.net">png-trained.net</a> as
follows:</p>
<div class="sourceCode" id="cb12"><pre
class="sourceCode sh"><code class="sourceCode bash"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-8000</span> png-1/ png-0/ <span class="op">&lt;</span> /dev/null <span class="op">&gt;</span> dlowe-aux-data/png-trained.net</span></code></pre></div>
<p>We created the <a href="dlowe-aux-data/png-trained.net">png-trained.net</a> as follows:</p>
<div class="sourceCode" id="cb12"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb12-1"><a href="#cb12-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-8000</span> png-1/ png-0/ <span class="op">&lt;</span> /dev/null <span class="op">&gt;</span> dlowe-aux-data/png-trained.net</span></code></pre></div>
<ul>
<li><p><a href="dlowe-aux-data/png-0/">dlowe-aux-data/png-0/</a> Non-png
(gif) images</p></li>
<li><p><a href="dlowe-aux-data/png-1/">dlowe-aux-data/png-1/</a> png
(non-gif) images</p></li>
<li><p><a href="dlowe-aux-data/png-0/">dlowe-aux-data/png-0/</a>
Non-png (gif) images</p></li>
<li><p><a href="dlowe-aux-data/png-1/">dlowe-aux-data/png-1/</a>
png (non-gif) images</p></li>
</ul>
<p>We created the <a
href="dlowe-aux-data/xor-trained.net">xor-trained.net</a> as
follows:</p>
<div class="sourceCode" id="cb13"><pre
class="sourceCode sh"><code class="sourceCode bash"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-8000</span> dlowe-aux-data/xor-1/ dlowe-aux-data/xor-0/ <span class="op">&lt;</span> /dev/null <span class="op">&gt;</span> dlowe-aux-data/xor-trained.net</span></code></pre></div>
<p>We created the <a href="dlowe-aux-data/xor-trained.net">xor-trained.net</a> as follows:</p>
<div class="sourceCode" id="cb13"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb13-1"><a href="#cb13-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-8000</span> dlowe-aux-data/xor-1/ dlowe-aux-data/xor-0/ <span class="op">&lt;</span> /dev/null <span class="op">&gt;</span> dlowe-aux-data/xor-trained.net</span></code></pre></div>
<ul>
<li><p><a href="dlowe-aux-data/xor-0/">dlowe-aux-data/xor-0</a> Data
that XORs to 0</p></li>
<li><p><a href="dlowe-aux-data/xor-1/">dlowe-aux-data/xor-1/</a> Data
that XORs to 1</p></li>
<li><p><a href="dlowe-aux-data/xor-0/">dlowe-aux-data/xor-0</a>
Data that XORs to 0</p></li>
<li><p><a href="dlowe-aux-data/xor-1/">dlowe-aux-data/xor-1/</a>
Data that XORs to 1</p></li>
</ul>
<p><strong>NOTE</strong>: The directory args <strong>must end in
a</strong> <code>/</code> for them to work.</p>
<p><strong>NOTE</strong>: The directory args <strong>must end in a</strong> <code>/</code> for them to work.</p>
<h2 id="authors-remarks">Author’s remarks:</h2>
<h3 id="synopsis">Synopsis</h3>
<p>This is an <a
href="https://en.wikipedia.org/wiki/Artificial_intelligence">artificially
intelligent</a> judging tool to help the IOCCC judges. Here’s to
shorter, more frequent contests!</p>
<p>This is an <a href="https://en.wikipedia.org/wiki/Artificial_intelligence">artificially
intelligent</a> judging tool
to help the IOCCC judges. Here’s to shorter, more frequent contests!</p>
<h3 id="description">Description</h3>
<p>This is a multilayer <a
href="https://en.wikipedia.org/wiki/Perceptron">perceptron</a> (a <a
href="https://en.wikipedia.org/wiki/Feedforward_neural_network">feedforward
artificial neural network</a>) which can be trained, using on-line <a
href="https://en.wikipedia.org/wiki/Backpropagation">backpropagation</a>,
to classify input files.</p>
<p>It has a fixed topology of <code>2^16</code> input neurons, 6 hidden
neurons and 1 output neuron.</p>
<p>The neurons’ activation function is the logistic function
<code>1 / (1 + e ^ -x)</code>.</p>
<p>This is a multilayer <a href="https://en.wikipedia.org/wiki/Perceptron">perceptron</a> (a
<a href="https://en.wikipedia.org/wiki/Feedforward_neural_network">feedforward artificial neural
network</a>)
which can be trained, using on-line
<a href="https://en.wikipedia.org/wiki/Backpropagation">backpropagation</a>, to classify input files.</p>
<p>It has a fixed topology of <code>2^16</code> input neurons, 6 hidden neurons and 1 output
neuron.</p>
<p>The neurons’ activation function is the logistic function <code>1 / (1 + e ^ -x)</code>.</p>
<h3 id="classifying">Classifying</h3>
<div class="sourceCode" id="cb14"><pre
class="sourceCode sh"><code class="sourceCode bash"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> file [file ...] <span class="op">&lt;</span> trained.net</span></code></pre></div>
<p>To classify files, one specifies a trained network (on
<code>stdin</code>) and one or more files to classify. The program will
output one line per successfully-classified file to <code>stderr</code>,
with the filename and the classification: a number between 0 and 1.</p>
<p>The interpretation of the classification number depends on how the
network was trained, but it’s geared toward interpretation as a
<em>probability</em> or a <em>confidence</em>.</p>
<div class="sourceCode" id="cb14"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb14-1"><a href="#cb14-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> file [file ...] <span class="op">&lt;</span> trained.net</span></code></pre></div>
<p>To classify files, one specifies a trained network (on <code>stdin</code>) and one or more
files to classify. The program will output one line per successfully-classified
file to <code>stderr</code>, with the filename and the classification: a number between 0
and 1.</p>
<p>The interpretation of the classification number depends on how the network was
trained, but it’s geared toward interpretation as a <em>probability</em> or a
<em>confidence</em>.</p>
<h3 id="training">Training</h3>
<div class="sourceCode" id="cb15"><pre
class="sourceCode sh"><code class="sourceCode bash"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-</span><span class="op">&lt;</span>n_iterations<span class="op">&gt;</span> corpus1/ <span class="pp">[</span><span class="ss">...</span><span class="pp">]</span> corpus0/ <span class="op">&lt;</span> start.net <span class="op">&gt;</span> end.net</span></code></pre></div>
<p><strong>NOTE</strong>: The directory args <strong>must end in
a</strong> <code>/</code> for them to work.</p>
<p>To train a network, one specifies a starting network (on
<code>stdin</code>), two or more corpora (directories containing
training data), and the number of training iterations to run. The
program will write some progress data to <code>stderr</code> and, when
it’s done, will serialize the updated network to
<code>stdout</code>.</p>
<p>If no input network is given, a random new network will be generated
as a starting point (i.e. provide an empty <code>stdin</code>).</p>
<p>The first corpus will be assigned a target value of <code>1</code>.
The last will be assigned a target value of <code>0</code>. Intervening
directories (if any) will be assigned intermediate target values.</p>
<p>The learning rate is hard-coded as <code>0.3</code>. No momentum
factor is used.</p>
<div class="sourceCode" id="cb15"><pre class="sourceCode sh"><code class="sourceCode bash"><span id="cb15-1"><a href="#cb15-1" aria-hidden="true" tabindex="-1"></a><span class="ex">./dlowe</span> <span class="at">-</span><span class="op">&lt;</span>n_iterations<span class="op">&gt;</span> corpus1/ <span class="pp">[</span><span class="ss">...</span><span class="pp">]</span> corpus0/ <span class="op">&lt;</span> start.net <span class="op">&gt;</span> end.net</span></code></pre></div>
<p><strong>NOTE</strong>: The directory args <strong>must end in a</strong> <code>/</code> for them to work.</p>
<p>To train a network, one specifies a starting network (on <code>stdin</code>), two or more
corpora (directories containing training data), and the number of training
iterations to run. The program will write some progress data to <code>stderr</code> and,
when it’s done, will serialize the updated network to <code>stdout</code>.</p>
<p>If no input network is given, a random new network will be generated as a
starting point (i.e. provide an empty <code>stdin</code>).</p>
<p>The first corpus will be assigned a target value of <code>1</code>. The last will be
assigned a target value of <code>0</code>. Intervening directories (if any) will be assigned
intermediate target values.</p>
<p>The learning rate is hard-coded as <code>0.3</code>. No momentum factor is used.</p>
<h4 id="png-corpora">png corpora</h4>
<p>The <a href="dlowe-aux-data/png-1">png-1</a> corpus was obtained by
manually scraping the first results from an <a
href="https://images.google.com"
class="uri">https://images.google.com</a> search for “<a
href="https://www.google.com/search?tbm=isch&amp;sxsrf=APwXEddqIU34dxhpFdjEa8emNJKHOkYXIw:1683049158657&amp;source=hp&amp;biw=1727&amp;bih=952&amp;ei=xkpRZLapJtLKkPIP8bGKkAk&amp;iflsig=AOEireoAAAAAZFFY1nbmEUHC74Cmg3Y5rEY1fV7ocASZ&amp;ved=0ahUKEwi2pPXZltf-AhVSJUQIHfGYApIQ4dUDCAY&amp;uact=5&amp;oq=obfuscate+filetype:png&amp;gs_lcp=CgNpbWcQA1AAWABg9QNoAHAAeACAATuIATuSAQExmAEAoAECoAEBqgELZ3dzLXdpei1pbWc&amp;sclient=img&amp;q=obfuscate&amp;tbs=ift:png">obfuscate
<p>The <a href="dlowe-aux-data/png-1">png-1</a> corpus was obtained by manually scraping the first results from an
<a href="https://images.google.com" class="uri">https://images.google.com</a> search for “<a href="https://www.google.com/search?tbm=isch&amp;sxsrf=APwXEddqIU34dxhpFdjEa8emNJKHOkYXIw:1683049158657&amp;source=hp&amp;biw=1727&amp;bih=952&amp;ei=xkpRZLapJtLKkPIP8bGKkAk&amp;iflsig=AOEireoAAAAAZFFY1nbmEUHC74Cmg3Y5rEY1fV7ocASZ&amp;ved=0ahUKEwi2pPXZltf-AhVSJUQIHfGYApIQ4dUDCAY&amp;uact=5&amp;oq=obfuscate+filetype:png&amp;gs_lcp=CgNpbWcQA1AAWABg9QNoAHAAeACAATuIATuSAQExmAEAoAECoAEBqgELZ3dzLXdpei1pbWc&amp;sclient=img&amp;q=obfuscate&amp;tbs=ift:png">obfuscate
filetype:png</a>”.</p>
<p>The <a href="dlowe-aux-data/png-0">png-0</a> corpus was obtained by
manually scraping the first results from an <a
href="https://images.google.com"
class="uri">https://images.google.com</a> search for “<a
href="https://www.google.com/search?tbm=isch&amp;ved=2ahUKEwiowo7fltf-AhXSOUQIHbJBDp8Q2-cCegQIABAA&amp;oq=obfuscate+filetype:gif&amp;gs_lcp=CgNpbWcQAzoECCMQJzoHCAAQigUQQzoFCAAQgARQ6AxY6AxgpBJoAHAAeACAAUeIAcsBkgEBM5gBAKABAaoBC2d3cy13aXotaW1nwAEB&amp;sclient=img&amp;ei=0UpRZOiVINLzkPIPsoO5-Ak&amp;bih=952&amp;biw=1727&amp;q=obfuscate&amp;tbs=ift:gif">obfuscate
<p>The <a href="dlowe-aux-data/png-0">png-0</a> corpus was obtained by manually scraping the first results from an
<a href="https://images.google.com" class="uri">https://images.google.com</a> search for “<a href="https://www.google.com/search?tbm=isch&amp;ved=2ahUKEwiowo7fltf-AhXSOUQIHbJBDp8Q2-cCegQIABAA&amp;oq=obfuscate+filetype:gif&amp;gs_lcp=CgNpbWcQAzoECCMQJzoHCAAQigUQQzoFCAAQgARQ6AxY6AxgpBJoAHAAeACAAUeIAcsBkgEBM5gBAKABAaoBC2d3cy13aXotaW1nwAEB&amp;sclient=img&amp;ei=0UpRZOiVINLzkPIPsoO5-Ak&amp;bih=952&amp;biw=1727&amp;q=obfuscate&amp;tbs=ift:gif">obfuscate
filetype:gif</a>”.</p>
<h5 id="results">Results:</h5>
<ul>
<li>Using these corpora as a training set;</li>
<li>Using several hundred random <code>*.gif</code> and
<code>*.png</code> files from my home computer as a test set;</li>
<li>Using the included <a href="earlystop.pl">earlystop.pl</a> script,
which stopped after 67000 iterations.</li>
<li>Interpreting output of <code>&gt; 0.5</code> as “probably a
<code>.png</code>” and <code>&lt; 0.5</code> as “probably a
<code>.gif</code>”</li>
<li>Using several hundred random <code>*.gif</code> and <code>*.png</code> files from my home computer as
a test set;</li>
<li>Using the included <a href="earlystop.pl">earlystop.pl</a> script, which stopped after 67000 iterations.</li>
<li>Interpreting output of <code>&gt; 0.5</code> as “probably a <code>.png</code>” and <code>&lt; 0.5</code> as “probably
a <code>.gif</code>”</li>
</ul>
<p>produced a network with about 87% accuracy</p>
<h4 id="english-corpora">English corpora</h4>
<p>The <a href="dlowe-aux-data/english-1">english-1</a> corpus was
obtained by manually scraping the first results from a <a
href="https://www.google.com/webhp?lr=lang_en"
class="uri">https://www.google.com/webhp?lr=lang_en</a> search for “<a
href="https://www.google.com/search?q=paris+filetype%3Atxt&amp;lr=lang_en&amp;tbs=lr%3Alang_1en&amp;sxsrf=APwXEdeHXyUYdUxCYQQDHmJhbHzX9aARSA%3A1683049834430&amp;source=hp&amp;ei=ak1RZJHUGN_DkPIP26OtkA8&amp;iflsig=AOEireoAAAAAZFFbejA0Xfqoq__FXx--Ok0S6GQjnGnA&amp;ved=0ahUKEwiRsZOcmdf-AhXfIUQIHdtRC_IQ4dUDCAo&amp;uact=5&amp;oq=paris+filetype%3Atxt&amp;gs_lcp=Cgdnd3Mtd2l6EANQAFgAYN4DaABwAHgAgAE-iAE-kgEBMZgBAKABAqABAQ&amp;sclient=gws-wiz">paris
<p>The <a href="dlowe-aux-data/english-1">english-1</a> corpus was obtained by manually scraping the first results from
a <a href="https://www.google.com/webhp?lr=lang_en" class="uri">https://www.google.com/webhp?lr=lang_en</a> search for “<a href="https://www.google.com/search?q=paris+filetype%3Atxt&amp;lr=lang_en&amp;tbs=lr%3Alang_1en&amp;sxsrf=APwXEdeHXyUYdUxCYQQDHmJhbHzX9aARSA%3A1683049834430&amp;source=hp&amp;ei=ak1RZJHUGN_DkPIP26OtkA8&amp;iflsig=AOEireoAAAAAZFFbejA0Xfqoq__FXx--Ok0S6GQjnGnA&amp;ved=0ahUKEwiRsZOcmdf-AhXfIUQIHdtRC_IQ4dUDCAo&amp;uact=5&amp;oq=paris+filetype%3Atxt&amp;gs_lcp=Cgdnd3Mtd2l6EANQAFgAYN4DaABwAHgAgAE-iAE-kgEBMZgBAKABAqABAQ&amp;sclient=gws-wiz">paris
filetype:txt</a>”.</p>
<p>The <a href="dlowe-aux-data/english-0">english-0</a> corpus was
obtained by manually scraping the first results from a <a
href="https://www.google.com/webhp?lr=lang_fr"
class="uri">https://www.google.com/webhp?lr=lang_fr</a> search for “<a
href="https://www.google.com/search?q=paris+filetype%3Atxt&amp;lr=lang_fr&amp;tbs=lr%3Alang_1fr&amp;sxsrf=APwXEddcsQ-gMhrqSUJo6omWFUl7jQMASg%3A1683049870736&amp;source=hp&amp;ei=jk1RZLevK_fKkPIPjbWN-AU&amp;iflsig=AOEireoAAAAAZFFbnvExHGkcavB5H8F0xsLAWN2KfYFK&amp;ved=0ahUKEwi3rrutmdf-AhV3JUQIHY1aA18Q4dUDCAo&amp;uact=5&amp;oq=paris+filetype%3Atxt&amp;gs_lcp=Cgdnd3Mtd2l6EANQAFgAYLMDaABwAHgAgAE-iAE-kgEBMZgBAKABAqABAQ&amp;sclient=gws-wiz">paris
<p>The <a href="dlowe-aux-data/english-0">english-0</a> corpus was obtained by manually scraping the first results from
a <a href="https://www.google.com/webhp?lr=lang_fr" class="uri">https://www.google.com/webhp?lr=lang_fr</a> search for “<a href="https://www.google.com/search?q=paris+filetype%3Atxt&amp;lr=lang_fr&amp;tbs=lr%3Alang_1fr&amp;sxsrf=APwXEddcsQ-gMhrqSUJo6omWFUl7jQMASg%3A1683049870736&amp;source=hp&amp;ei=jk1RZLevK_fKkPIPjbWN-AU&amp;iflsig=AOEireoAAAAAZFFbnvExHGkcavB5H8F0xsLAWN2KfYFK&amp;ved=0ahUKEwi3rrutmdf-AhV3JUQIHY1aA18Q4dUDCAo&amp;uact=5&amp;oq=paris+filetype%3Atxt&amp;gs_lcp=Cgdnd3Mtd2l6EANQAFgAYLMDaABwAHgAgAE-iAE-kgEBMZgBAKABAqABAQ&amp;sclient=gws-wiz">paris
filetype:txt</a>”.</p>
<h5 id="results-1">Results:</h5>
<ul>
<li>Using these corpora as a training set;</li>
<li>Using several dozen additional text files (obtained by the same
methods) as a test set;</li>
<li>Using the included <a href="earlystop.pl">earlystop.pl</a> script,
which stopped after 10000 iterations;</li>
<li>Interpreting output of <code>&gt; 0.5</code> as “probably English”
and <code>&lt; 0.5</code> as “probably French”</li>
<li>Using several dozen additional text files (obtained by the same methods) as a
test set;</li>
<li>Using the included <a href="earlystop.pl">earlystop.pl</a> script, which stopped after
10000 iterations;</li>
<li>Interpreting output of <code>&gt; 0.5</code> as “probably English” and <code>&lt; 0.5</code> as “probably
French”</li>
</ul>
<p>produced a network with 100% accuracy.</p>
<h3 id="xor-corpora">xor corpora</h3>
<p>The <a href="dlowe-aux-data/xor-1">xor-1</a> corpus consists of two
files containing <code>01</code> and <code>10</code> respectively.</p>
<p>The <a href="dlowe-aux-data/xor-0">xor-0</a> corpus consists of two
files containing <code>00</code> and <code>11</code> respectively.</p>
<p>The <a href="dlowe-aux-data/xor-1">xor-1</a> corpus consists of two files containing <code>01</code>
and <code>10</code> respectively.</p>
<p>The <a href="dlowe-aux-data/xor-0">xor-0</a> corpus consists of two files containing <code>00</code>
and <code>11</code> respectively.</p>
<h5 id="results-2">Results:</h5>
<p>Using these corpora as a training set takes about 8000 iterations to
learn xor to within a tolerance of <code>&lt;0.01</code>.</p>
<p>Using these corpora as a training set takes about 8000 iterations to learn xor
to within a tolerance of <code>&lt;0.01</code>.</p>
<h3 id="limitations">Limitations</h3>
<p>The program can’t tell you anything meaningful about files with less
than two bytes in them (I’m looking at you, <a
href="../../1994/smr/smr.c">smr.c</a>!)</p>
<p>You must include the trailing directory separator on training
directories (this allows the program to be portable without wasting
precious bytes on figuring out how to concatenate directory and file
names…).</p>
<p>Serialized network files are only portable between systems with the
same <a
href="https://en.wikipedia.org/wiki/Floating-point_arithmetic">floating-point</a>
representation and <a
href="https://en.wikipedia.org/wiki/Endianness">endianness</a>.</p>
<p>Making sure not to <a
href="https://en.wikipedia.org/wiki/Overfitting#Machine_learning">overfit</a>
the network to the training data is a bit of a black art. I have
enclosed <a href="earlystop.pl">earlystop.pl</a>, a wrapper script that
implements a simple ‘early stopping’ algorithm; other techniques are
possible.</p>
<p>Bad input (e.g. nonexistent files, non-numeric number of iterations,
etc.) tends to result in empty output.</p>
<p>Given exactly one corpus, the program will crash or produce
garbage.</p>
<p>The program can’t tell you anything meaningful about files with less than two
bytes in them (I’m looking at you, <a href="../../1994/smr/smr.c">smr.c</a>!)</p>
<p>You must include the trailing directory separator on training directories
(this allows the program to be portable without wasting precious bytes on
figuring out how to concatenate directory and file names…).</p>
<p>Serialized network files are only portable between systems with the same
<a href="https://en.wikipedia.org/wiki/Floating-point_arithmetic">floating-point</a>
representation and <a href="https://en.wikipedia.org/wiki/Endianness">endianness</a>.</p>
<p>Making sure not to
<a href="https://en.wikipedia.org/wiki/Overfitting#Machine_learning">overfit</a> the network to the training data is a bit of a
black art. I have enclosed <a href="earlystop.pl">earlystop.pl</a>, a wrapper script that implements
a simple ‘early stopping’ algorithm; other techniques are possible.</p>
<p>Bad input (e.g. nonexistent files, non-numeric number of iterations, etc.)
tends to result in empty output.</p>
<p>Given exactly one corpus, the program will crash or produce garbage.</p>
<p>Leaks memory and file descriptors while processing files.</p>
<p>Will crash and die horribly if it runs out of memory.</p>
<p>The Microsoft C compiler doesn’t provide a <code>dirent</code> API,
so to get this working on a Windows system you’ll need cygwin+gcc
(tested) or a <code>dirent</code> compatibility library (untested, but
they do exist).</p>
<p>Backpropagation doesn’t always converge: if you play with this long
enough, you’ll eventually have a training session that completely fails
to converge.</p>
<p>The Microsoft C compiler doesn’t provide a <code>dirent</code> API, so to get this working
on a Windows system you’ll need cygwin+gcc (tested) or a <code>dirent</code> compatibility
library (untested, but they do exist).</p>
<p>Backpropagation doesn’t always converge: if you play with this long enough,
you’ll eventually have a training session that completely fails to converge.</p>
<h3 id="obfuscation">Obfuscation</h3>
<ul>
<li><a href="https://en.wikipedia.org/wiki/Zombie">Zombies</a>! (Since
neural networks are modeled after <a
href="https://en.wikipedia.org/wiki/Brain">BRAINS</a>, ya know? And
corpus sounds a lot like corpse. And I have 4- and 7-year-old kids ;)
)</li>
<li>Neural networks are interesting, and while the math isn’t terribly
difficult, their behavior is difficult to fully understand.</li>
<li>Had some extra space in one of the major data structures, and it
seemed a shame to waste it.</li>
<li>Similarly, I think three file pointers ought to be enough for
anyone.</li>
<li><a href="https://en.wikipedia.org/wiki/Zombie">Zombies</a>! (Since neural networks are
modeled after <a href="https://en.wikipedia.org/wiki/Brain">BRAINS</a>, ya know? And
corpus sounds a lot like corpse. And I have 4- and 7-year-old kids ;) )</li>
<li>Neural networks are interesting, and while the math isn’t terribly difficult,
their behavior is difficult to fully understand.</li>
<li>Had some extra space in one of the major data structures, and it seemed a
shame to waste it.</li>
<li>Similarly, I think three file pointers ought to be enough for anyone.</li>
<li>Lots of magic numbers expressed in various ways.</li>
<li>Random abuse of random C trivia.</li>
<li>Some textual changes were made to maximize the classification of
this program by a network trained to recognize <a
href="../../authors.html">IOCCC entries</a> ;)</li>
<li>Some textual changes were made to maximize the classification of this program
by a network trained to recognize <a href="../../authors.html">IOCCC entries</a> ;)</li>
</ul>
<p>… but mostly zombies!</p>
<h2 id="copyright-and-cc-by-sa-4.0-license">Copyright and CC BY-SA 4.0
License:</h2>
<p>This file is Copyright (c) 2023 by Landon Curt Noll. All Rights
Reserved. You are free to share and adapt this file under the terms of
this license:</p>
<h2 id="copyright-and-cc-by-sa-4.0-license">Copyright and CC BY-SA 4.0 License:</h2>
<p>This file is Copyright (c) 2023 by Landon Curt Noll. All Rights Reserved.
You are free to share and adapt this file under the terms of this license:</p>
<pre><code>Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)</code></pre>
<p>For more information, see:
https://creativecommons.org/licenses/by-sa/4.0/</p>
<p>For more information, see: https://creativecommons.org/licenses/by-sa/4.0/</p>
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<h1 id="inventory-for-2011dlowe"><a name="inventory"></a>Inventory for
2011/dlowe</h1>
<h1 id="inventory-for-2011dlowe"><a name="inventory"></a>Inventory for 2011/dlowe</h1>
<p><a href="#top">Jump to top</a></p>
<h2 id="primary-files">Primary files</h2>
<ul>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe.c">dlowe.c</a>
- entry source</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/Makefile">Makefile</a>
- entry Makefile</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe.orig.c">dlowe.orig.c</a>
- original source</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/earlystop.pl">earlystop.pl</a>
- wrapper script to stop training early</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/try.sh">try.sh</a>
- how to run</li>
<li><a
href="dlowe-aux-data/png-0/5756029-DMZ-overview-B.gif">dlowe-aux-data/png-0/5756029-DMZ-overview-B.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/M2.gif">dlowe-aux-data/png-0/M2.gif</a> -
Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/Obfuscate.gif">dlowe-aux-data/png-0/Obfuscate.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/figure_49.gif">dlowe-aux-data/png-0/figure_49.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/klockhuset.gif">dlowe-aux-data/png-0/klockhuset.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/obfuscate_1.gif">dlowe-aux-data/png-0/obfuscate_1.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/podcastimage_150215.gif">dlowe-aux-data/png-0/podcastimage_150215.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/prjman1.gif">dlowe-aux-data/png-0/prjman1.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/proguard_obfuscate.gif">dlowe-aux-data/png-0/proguard_obfuscate.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/scripts_encryptor__screnc_-31918.gif">dlowe-aux-data/png-0/scripts_encryptor_<em>screnc</em>-31918.gif</a>
- Non-png gif images</li>
<li><a
href="dlowe-aux-data/png-0/visual_panel.gif">dlowe-aux-data/png-0/visual_panel.gif</a>
- Non-png gif images</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/040604.txt">dlowe-aux-data/english-0/040604.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/2001-2002.txt">dlowe-aux-data/english-0/2001-2002.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/CFP_TSI_Graphes_appel.txt">dlowe-aux-data/english-0/CFP_TSI_Graphes_appel.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/CIR_APE_08_doc%5B1%5D.txt">dlowe-aux-data/english-0/CIR_APE_08_doc%5B1%5D.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/admin_fr.txt">dlowe-aux-data/english-0/admin_fr.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/agenda.txt">dlowe-aux-data/english-0/agenda.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/paris.txt">dlowe-aux-data/english-0/paris.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/paris2.txt">dlowe-aux-data/english-0/paris2.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/structures3D-Paris.txt">dlowe-aux-data/english-0/structures3D-Paris.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/02-chronology.txt">dlowe-aux-data/english-1/02-chronology.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/36C215.txt">dlowe-aux-data/english-1/36C215.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/Wireless_Days_2011_CFP.txt">dlowe-aux-data/english-1/Wireless_Days_2011_CFP.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/cpb.txt">dlowe-aux-data/english-1/cpb.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/get-there.txt">dlowe-aux-data/english-1/get-there.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/pa_fv010.txt">dlowe-aux-data/english-1/pa_fv010.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/the_poor_people_of_paris.txt">dlowe-aux-data/english-1/the_poor_people_of_paris.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/utmost.txt">dlowe-aux-data/english-1/utmost.txt</a>
- training text for neural networks</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/walljpar.txt">dlowe-aux-data/english-1/walljpar.txt</a>
- training text for neural networks</li>
<li><a href="dlowe-aux-data/xor-0/00">dlowe-aux-data/xor-0/00</a> -
training digits for neural networks</li>
<li><a href="dlowe-aux-data/xor-0/11">dlowe-aux-data/xor-0/11</a> -
training digits for neural networks</li>
<li><a href="dlowe-aux-data/xor-1/01">dlowe-aux-data/xor-1/01</a> -
training digits for neural networks</li>
<li><a href="dlowe-aux-data/xor-1/10">dlowe-aux-data/xor-1/10</a> -
training digits for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/JavaScript-obfuscation-code.png">dlowe-aux-data/png-1/JavaScript-obfuscation-code.png</a>
- training image for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/control_flow_obfuscation_before.png">dlowe-aux-data/png-1/control_flow_obfuscation_before.png</a>
- training image for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/deceive-inveigle-obfuscate-t-shirts.png">dlowe-aux-data/png-1/deceive-inveigle-obfuscate-t-shirts.png</a>
- training image for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/help_obfuscation1.png">dlowe-aux-data/png-1/help_obfuscation1.png</a>
- training image for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/image_thumb%5B40%5D.png">dlowe-aux-data/png-1/image_thumb[40].png</a>
- training image for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/jquery_after_deobfuscation.png">dlowe-aux-data/png-1/jquery_after_deobfuscation.png</a>
- training image for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/obfuscate4e.png">dlowe-aux-data/png-1/obfuscate4e.png</a>
- training image for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/obfuscation-decoder.png">dlowe-aux-data/png-1/obfuscation-decoder.png</a>
- training image for neural networks</li>
<li><a
href="dlowe-aux-data/png-1/obfuscation_methods.png">dlowe-aux-data/png-1/obfuscation_methods.png</a>
- training image for neural networks</li>
<li><a href="2011_dlowe.tar.bz2">2011_dlowe.tar.bz2</a> - download entry
source</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe.c">dlowe.c</a> - entry source</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/Makefile">Makefile</a> - entry Makefile</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe.orig.c">dlowe.orig.c</a> - original source</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/earlystop.pl">earlystop.pl</a> - wrapper script to stop training early</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/try.sh">try.sh</a> - how to run</li>
<li><a href="dlowe-aux-data/png-0/5756029-DMZ-overview-B.gif">dlowe-aux-data/png-0/5756029-DMZ-overview-B.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/M2.gif">dlowe-aux-data/png-0/M2.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/Obfuscate.gif">dlowe-aux-data/png-0/Obfuscate.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/figure_49.gif">dlowe-aux-data/png-0/figure_49.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/klockhuset.gif">dlowe-aux-data/png-0/klockhuset.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/obfuscate_1.gif">dlowe-aux-data/png-0/obfuscate_1.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/podcastimage_150215.gif">dlowe-aux-data/png-0/podcastimage_150215.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/prjman1.gif">dlowe-aux-data/png-0/prjman1.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/proguard_obfuscate.gif">dlowe-aux-data/png-0/proguard_obfuscate.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/scripts_encryptor__screnc_-31918.gif">dlowe-aux-data/png-0/scripts_encryptor_<em>screnc</em>-31918.gif</a> - Non-png gif images</li>
<li><a href="dlowe-aux-data/png-0/visual_panel.gif">dlowe-aux-data/png-0/visual_panel.gif</a> - Non-png gif images</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/040604.txt">dlowe-aux-data/english-0/040604.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/2001-2002.txt">dlowe-aux-data/english-0/2001-2002.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/CFP_TSI_Graphes_appel.txt">dlowe-aux-data/english-0/CFP_TSI_Graphes_appel.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/CIR_APE_08_doc%5B1%5D.txt">dlowe-aux-data/english-0/CIR_APE_08_doc%5B1%5D.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/admin_fr.txt">dlowe-aux-data/english-0/admin_fr.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/agenda.txt">dlowe-aux-data/english-0/agenda.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/paris.txt">dlowe-aux-data/english-0/paris.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/paris2.txt">dlowe-aux-data/english-0/paris2.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-0/structures3D-Paris.txt">dlowe-aux-data/english-0/structures3D-Paris.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/02-chronology.txt">dlowe-aux-data/english-1/02-chronology.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/36C215.txt">dlowe-aux-data/english-1/36C215.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/Wireless_Days_2011_CFP.txt">dlowe-aux-data/english-1/Wireless_Days_2011_CFP.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/cpb.txt">dlowe-aux-data/english-1/cpb.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/get-there.txt">dlowe-aux-data/english-1/get-there.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/pa_fv010.txt">dlowe-aux-data/english-1/pa_fv010.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/the_poor_people_of_paris.txt">dlowe-aux-data/english-1/the_poor_people_of_paris.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/utmost.txt">dlowe-aux-data/english-1/utmost.txt</a> - training text for neural networks</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/dlowe-aux-data/english-1/walljpar.txt">dlowe-aux-data/english-1/walljpar.txt</a> - training text for neural networks</li>
<li><a href="dlowe-aux-data/xor-0/00">dlowe-aux-data/xor-0/00</a> - training digits for neural networks</li>
<li><a href="dlowe-aux-data/xor-0/11">dlowe-aux-data/xor-0/11</a> - training digits for neural networks</li>
<li><a href="dlowe-aux-data/xor-1/01">dlowe-aux-data/xor-1/01</a> - training digits for neural networks</li>
<li><a href="dlowe-aux-data/xor-1/10">dlowe-aux-data/xor-1/10</a> - training digits for neural networks</li>
<li><a href="dlowe-aux-data/png-1/JavaScript-obfuscation-code.png">dlowe-aux-data/png-1/JavaScript-obfuscation-code.png</a> - training image for neural networks</li>
<li><a href="dlowe-aux-data/png-1/control_flow_obfuscation_before.png">dlowe-aux-data/png-1/control_flow_obfuscation_before.png</a> - training image for neural networks</li>
<li><a href="dlowe-aux-data/png-1/deceive-inveigle-obfuscate-t-shirts.png">dlowe-aux-data/png-1/deceive-inveigle-obfuscate-t-shirts.png</a> - training image for neural networks</li>
<li><a href="dlowe-aux-data/png-1/help_obfuscation1.png">dlowe-aux-data/png-1/help_obfuscation1.png</a> - training image for neural networks</li>
<li><a href="dlowe-aux-data/png-1/image_thumb%5B40%5D.png">dlowe-aux-data/png-1/image_thumb[40].png</a> - training image for neural networks</li>
<li><a href="dlowe-aux-data/png-1/jquery_after_deobfuscation.png">dlowe-aux-data/png-1/jquery_after_deobfuscation.png</a> - training image for neural networks</li>
<li><a href="dlowe-aux-data/png-1/obfuscate4e.png">dlowe-aux-data/png-1/obfuscate4e.png</a> - training image for neural networks</li>
<li><a href="dlowe-aux-data/png-1/obfuscation-decoder.png">dlowe-aux-data/png-1/obfuscation-decoder.png</a> - training image for neural networks</li>
<li><a href="dlowe-aux-data/png-1/obfuscation_methods.png">dlowe-aux-data/png-1/obfuscation_methods.png</a> - training image for neural networks</li>
<li><a href="2011_dlowe.tar.bz2">2011_dlowe.tar.bz2</a> - download entry source</li>
</ul>
<h2 id="secondary-files">Secondary files</h2>
<ul>
<li><a href="index.html">index.html</a> - entry home page</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/.entry.json">.entry.json</a>
- description of entry in JSON</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/.gitignore">.gitignore</a>
- list of files that should not be committed under git</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/.entry.json">.entry.json</a> - description of entry in JSON</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/.gitignore">.gitignore</a> - list of files that should not be committed under git</li>
<li><a href=".path">.path</a> - directory path from top directory</li>
<li><a
href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/README.md">README.md</a>
- markdown source for index.html</li>
<li><a href="dlowe-aux-data.tar.bz2">dlowe-aux-data.tar.bz2</a> - IOCCC
win lose trained network</li>
<li><a
href="dlowe-aux-data/english-trained.net">dlowe-aux-data/english-trained.net</a>
- trained neural network for English text</li>
<li><a
href="dlowe-aux-data/ioccc-winlose-trained.net">dlowe-aux-data/ioccc-winlose-trained.net</a>
- trained neural network for C code from 20Th IOCCC</li>
<li><a
href="dlowe-aux-data/png-trained.net">dlowe-aux-data/png-trained.net</a>
- trained neural network for png-0 and png-1 images</li>
<li><a
href="dlowe-aux-data/xor-trained.net">dlowe-aux-data/xor-trained.net</a>
- trained neural network for xor-0 and xor-1 data</li>
<li><a href="https://github.com/ioccc-src/temp-test-ioccc/blob/master/2011/dlowe/README.md">README.md</a> - markdown source for index.html</li>
<li><a href="dlowe-aux-data.tar.bz2">dlowe-aux-data.tar.bz2</a> - IOCCC win lose trained network</li>
<li><a href="dlowe-aux-data/english-trained.net">dlowe-aux-data/english-trained.net</a> - trained neural network for English text</li>
<li><a href="dlowe-aux-data/ioccc-winlose-trained.net">dlowe-aux-data/ioccc-winlose-trained.net</a> - trained neural network for C code from 20Th IOCCC</li>
<li><a href="dlowe-aux-data/png-trained.net">dlowe-aux-data/png-trained.net</a> - trained neural network for png-0 and png-1 images</li>
<li><a href="dlowe-aux-data/xor-trained.net">dlowe-aux-data/xor-trained.net</a> - trained neural network for xor-0 and xor-1 data</li>
</ul>
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