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2 changes: 1 addition & 1 deletion authors/rhys-compton.xml
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&lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/"&gt;Read more…&lt;/a&gt; (2 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/</guid><pubDate>Thu, 26 Nov 2020 06:06:00 GMT</pubDate></item></channel></rss>
2 changes: 1 addition & 1 deletion categories/cat_packages.xml
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&lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/"&gt;Read more…&lt;/a&gt; (2 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/</guid><pubDate>Thu, 26 Nov 2020 06:06:00 GMT</pubDate></item><item><title>New WekaDeeplearning4j Release - Pretrained Models, Feature Extraction Update, and more</title><link>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</link><dc:creator>Eibe Frank</dc:creator><description>&lt;div&gt;&lt;p&gt;A new version of WekaDeeplearning4j, version 1.6.0, has just been released and brings with it a bunch of exciting new features.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/"&gt;Read more…&lt;/a&gt; (1 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</guid><pubDate>Sat, 04 Jul 2020 06:06:00 GMT</pubDate></item></channel></rss>
2 changes: 1 addition & 1 deletion categories/github.xml
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&lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/"&gt;Read more…&lt;/a&gt; (2 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/</guid><pubDate>Thu, 26 Nov 2020 06:06:00 GMT</pubDate></item><item><title>New WekaDeeplearning4j Release - Pretrained Models, Feature Extraction Update, and more</title><link>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</link><dc:creator>Eibe Frank</dc:creator><description>&lt;div&gt;&lt;p&gt;A new version of WekaDeeplearning4j, version 1.6.0, has just been released and brings with it a bunch of exciting new features.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/"&gt;Read more…&lt;/a&gt; (1 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</guid><pubDate>Sat, 04 Jul 2020 06:06:00 GMT</pubDate></item><item><title>Weka Debian packages</title><link>https://waikato.github.io/weka-blog/posts/2019-09-23-weka-debian-packages/</link><dc:creator>FracPete</dc:creator><description>&lt;div&gt;&lt;p&gt;Users installing Weka on Linux must have always felt left out
a bit, with no installer available, instead having to deal with
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56 changes: 4 additions & 52 deletions posts/2020-11-26-wekaDeeplearning4j-1.7.0/index.html
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Dl4j Inference Panel &amp; Dl4jCNNExplorer
System Message: WARNING/2 (&lt;string&gt;, line 8)
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*******
Dl4j Infe">
One major addition in WekaDeeplearning4j v1.7.0 is the new Dl4jCNNExplorer and the
associate">
<meta property="og:type" content="article">
<meta property="article:published_time" content="2020-11-26T18:06:00+12:00">
<meta property="article:tag" content="github">
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<div>
<p>A new version of WekaDeeplearning4j, version 1.7.0, is available!</p>
<!-- TEASER_END -->
<div class="figure">
<img alt="../../images/GUI.jpgDl4jCNNExplorerandsaliencymapgeneration." src="../../images/GUI.jpgDl4jCNNExplorerandsaliencymapgeneration.">
</div>
<div class="section" id="dl4j-inference-panel-dl4jcnnexplorer">
<img alt="Dl4jCNNExplorer and saliency map generation." src="../../images/GUI.jpg"><div class="section" id="dl4j-inference-panel-dl4jcnnexplorer">
<h2>Dl4j Inference Panel &amp; Dl4jCNNExplorer</h2>
<div class="system-message">
<p class="system-message-title">System Message: WARNING/2 (<tt class="docutils">&lt;string&gt;</tt>, line 8)</p>
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<pre class="literal-block">
*******
Dl4j Inference Panel &amp; Dl4jCNNExplorer
*******
</pre>
</div>
<p>One major addition in <strong>WekaDeeplearning4j</strong> v1.7.0 is the new <strong>Dl4jCNNExplorer</strong> and the
associated GUI <strong>Dl4j Inference Panel</strong>. This brings real-time inference to the WEKA universe,
allowing you to quickly run an image classification CNN model on an image without having to
Expand All @@ -126,15 +108,6 @@ <h2>Dl4j Inference Panel &amp; Dl4jCNNExplorer</h2>
</div>
<div class="section" id="saliency-map-generation-with-scorecam">
<h2>Saliency Map Generation with ScoreCAM</h2>
<div class="system-message">
<p class="system-message-title">System Message: WARNING/2 (<tt class="docutils">&lt;string&gt;</tt>, line 25)</p>
<p>Title overline too short.</p>
<pre class="literal-block">
*******
Saliency Map Generation with ScoreCAM
*******
</pre>
</div>
<p>Another exciting new feature is the implementation of <strong>ScoreCAM</strong>, a saliency map generation technique.
This can be accessed through the <cite>Dl4jCNNExplorer</cite>, allowing you to not only perform prediction on an image,
but look at <em>what</em> in the image your model was using for prediction.</p>
Expand All @@ -145,33 +118,12 @@ <h2>Saliency Map Generation with ScoreCAM</h2>
</div>
<div class="section" id="progress-manager">
<h2>Progress Manager</h2>
<div class="system-message">
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<pre class="literal-block">
*******
Progress Manager
*******
</pre>
</div>
<div class="figure">
<img alt="../../images/ProgressManager.pngProgressmanager." src="../../images/ProgressManager.pngProgressmanager.">
</div>
<p>We've created a simple---but effective---progress bar and added this to the long-running tasks
<img alt="Progress manager." src="../../images/ProgressManager.png"><p>We've created a simple---but effective---progress bar and added this to the long-running tasks
(model training, feature extraction, etc.). This provides a graphical indicator of progress and remaining
ETA for the current job so will make WEKA more usable for large jobs.</p>
</div>
<div class="section" id="model-summaries">
<h2>Model Summaries</h2>
<div class="system-message">
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*******
Model Summaries
*******
</pre>
</div>
<p>We've also added <a class="reference external" href="https://deeplearning.cms.waikato.ac.nz/user-guide/model-zoo/#model-summaries">model summaries</a>
to the documentation, which specify the different models and their layers. This can be useful for designing
your own architectures or with the <cite>Dl4jMlpFilter</cite>, when using intermediary layers for feature extraction.</p>
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.. TEASER_END
.. figure:: ../../images/GUI.jpg
Dl4jCNNExplorer and saliency map generation.
.. image:: ../../images/GUI.jpg
:alt: Dl4jCNNExplorer and saliency map generation.

*******
**************************************
Dl4j Inference Panel & Dl4jCNNExplorer
*******
**************************************

One major addition in **WekaDeeplearning4j** v1.7.0 is the new **Dl4jCNNExplorer** and the
associated GUI **Dl4j Inference Panel**. This brings real-time inference to the WEKA universe,
Expand All @@ -30,9 +30,9 @@ architectures may work best for your domain.
Check out the `usage example <https://deeplearning.cms.waikato.ac.nz/examples/dl4j-inference/>`__
to see how easy it is to get started.

*******
*************************************
Saliency Map Generation with ScoreCAM
*******
*************************************

Another exciting new feature is the implementation of **ScoreCAM**, a saliency map generation technique.
This can be accessed through the `Dl4jCNNExplorer`, allowing you to not only perform prediction on an image,
Expand All @@ -44,20 +44,20 @@ This can be invoked from the command-line, although the best user experience is
Check out the `usage example <https://deeplearning.cms.waikato.ac.nz/examples/dl4j-inference/#example-4-saliency-map-generation>`__
to see what new insights can be brought to your workflow.

*******
****************
Progress Manager
*******
****************

.. figure:: ../../images/ProgressManager.png
Progress manager.
.. image:: ../../images/ProgressManager.png
:alt: Progress manager.

We've created a simple---but effective---progress bar and added this to the long-running tasks
(model training, feature extraction, etc.). This provides a graphical indicator of progress and remaining
ETA for the current job so will make WEKA more usable for large jobs.

*******
***************
Model Summaries
*******
***************

We've also added `model summaries <https://deeplearning.cms.waikato.ac.nz/user-guide/model-zoo/#model-summaries>`__
to the documentation, which specify the different models and their layers. This can be useful for designing
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2 changes: 1 addition & 1 deletion rss.xml
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&lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/"&gt;Read more…&lt;/a&gt; (2 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-11-26-wekaDeeplearning4j-1.7.0/</guid><pubDate>Thu, 26 Nov 2020 06:06:00 GMT</pubDate></item><item><title>New WekaDeeplearning4j Release - Pretrained Models, Feature Extraction Update, and more</title><link>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</link><dc:creator>Eibe Frank</dc:creator><description>&lt;div&gt;&lt;p&gt;A new version of WekaDeeplearning4j, version 1.6.0, has just been released and brings with it a bunch of exciting new features.&lt;/p&gt;
&lt;p&gt;&lt;a href="https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/"&gt;Read more…&lt;/a&gt; (1 min remaining to read)&lt;/p&gt;&lt;/div&gt;</description><category>github</category><guid>https://waikato.github.io/weka-blog/posts/2020-07-04-wekaDeeplearning4j-1.6.0/</guid><pubDate>Sat, 04 Jul 2020 06:06:00 GMT</pubDate></item><item><title>Weka Debian packages</title><link>https://waikato.github.io/weka-blog/posts/2019-09-23-weka-debian-packages/</link><dc:creator>FracPete</dc:creator><description>&lt;div&gt;&lt;p&gt;Users installing Weka on Linux must have always felt left out
a bit, with no installer available, instead having to deal with
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