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    <title>DEV Community: JEON JEUNGHWAN</title>
    <description>The latest articles on DEV Community by JEON JEUNGHWAN (@wmdghks).</description>
    <link>https://dev.to/wmdghks</link>
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      <title>DEV Community: JEON JEUNGHWAN</title>
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      <title>Python Quiz? Help me!</title>
      <dc:creator>JEON JEUNGHWAN</dc:creator>
      <pubDate>Wed, 20 May 2020 06:19:37 +0000</pubDate>
      <link>https://dev.to/wmdghks/python-quiz-help-me-1gll</link>
      <guid>https://dev.to/wmdghks/python-quiz-help-me-1gll</guid>
      <description>&lt;p&gt;I just found this website called python level challenge.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://plc.pengin7384.endpoint.ainize.ai/"&gt;https://plc.pengin7384.endpoint.ainize.ai/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;But I couldn't know the answer of this question.&lt;/p&gt;

&lt;p&gt;Do you know this answer?&lt;/p&gt;

&lt;p&gt;I'm newbie on Python :(&lt;/p&gt;

&lt;p&gt;So, Help me!&lt;/p&gt;

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      <category>python</category>
      <category>javascript</category>
      <category>docker</category>
      <category>php</category>
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    <item>
      <title>A.I. Challenge for changing your selfie to Anime Style</title>
      <dc:creator>JEON JEUNGHWAN</dc:creator>
      <pubDate>Wed, 20 May 2020 02:38:37 +0000</pubDate>
      <link>https://dev.to/wmdghks/a-i-challenge-for-changing-your-selfie-to-anime-style-ndi</link>
      <guid>https://dev.to/wmdghks/a-i-challenge-for-changing-your-selfie-to-anime-style-ndi</guid>
      <description>&lt;p&gt;&lt;a href="https://youtu.be/MOMashl-W7M"&gt;https://youtu.be/MOMashl-W7M&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;What would Disney characters look like Anime style?&lt;/p&gt;

&lt;p&gt;We, developers, have a lot of interesting when it comes to visual analysis nowadays. I was looking for a some fun project on Github and found this API. With this Open source, you can make selfie to anime by Machine Learning (AI).&lt;/p&gt;

&lt;p&gt;The paper called 'UGATIT' and it was written by NCSOFT Vision AI Lab. 'UGATIT' means that Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation.&lt;br&gt;
As it said, unsupervised Image-to-Image translation, U-GAT-IT can generate undistorted image by focusing more on the distinct regions between source and target domain by exploiting the attention modules.&lt;/p&gt;

&lt;p&gt;Thank you for reading!&lt;br&gt;
and Enjoy it!&lt;/p&gt;




&lt;p&gt;GitHub repository&lt;br&gt;
&lt;a href="http://bit.ly/2U2hO0B"&gt;http://bit.ly/2U2hO0B&lt;/a&gt;&lt;br&gt;
API and website deployed on Ainize&lt;br&gt;
&lt;a href="http://bit.ly/390JkQr"&gt;http://bit.ly/390JkQr&lt;/a&gt;&lt;/p&gt;

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      <category>python</category>
      <category>java</category>
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