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    <title>DEV Community: zahash</title>
    <description>The latest articles on DEV Community by zahash (@zahash).</description>
    <link>https://dev.to/zahash</link>
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      <title>DEV Community: zahash</title>
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      <title>Generate Unique Non Copyrighted 4k Pattern Art Image on each page refresh</title>
      <dc:creator>zahash</dc:creator>
      <pubDate>Sat, 21 Nov 2020 07:01:24 +0000</pubDate>
      <link>https://dev.to/zahash/generate-unique-non-copyrighted-4k-pattern-art-image-on-each-page-refresh-1ij8</link>
      <guid>https://dev.to/zahash/generate-unique-non-copyrighted-4k-pattern-art-image-on-each-page-refresh-1ij8</guid>
      <description>&lt;p&gt;&lt;a href="https://pattern-art.herokuapp.com/"&gt;https://pattern-art.herokuapp.com/&lt;/a&gt;&lt;/p&gt;

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      <category>python</category>
      <category>webdev</category>
    </item>
    <item>
      <title>Python tool to get Magent link of any Movie</title>
      <dc:creator>zahash</dc:creator>
      <pubDate>Wed, 18 Nov 2020 14:16:14 +0000</pubDate>
      <link>https://dev.to/zahash/python-tool-to-get-magent-link-to-any-movie-na2</link>
      <guid>https://dev.to/zahash/python-tool-to-get-magent-link-to-any-movie-na2</guid>
      <description>&lt;p&gt;I made a python tool to get magnet links of any movie you want. Might be useful from time to time.&lt;/p&gt;

&lt;p&gt;Check it out if interested. Let me know your thoughts.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://pypi.org/project/movie-magnet/"&gt;https://pypi.org/project/movie-magnet/&lt;/a&gt;&lt;/p&gt;

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      <category>python</category>
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      <title>General Purpose Tensorflow Model Trainer For CSV Files</title>
      <dc:creator>zahash</dc:creator>
      <pubDate>Wed, 18 Nov 2020 06:28:23 +0000</pubDate>
      <link>https://dev.to/zahash/general-purpose-tensorflow-model-trainer-for-csv-files-2im0</link>
      <guid>https://dev.to/zahash/general-purpose-tensorflow-model-trainer-for-csv-files-2im0</guid>
      <description>&lt;p&gt;I made a general-purpose Python notebook to train TensorFlow models on any given CSV file.&lt;/p&gt;

&lt;p&gt;you just need to specify the dataset path, label name, batch size, and task (regression or classification).&lt;/p&gt;

&lt;p&gt;things like the number of layers, number of nodes in each layer, number of output nodes, loss functions, model checkpointing, early stopping are taken care of.&lt;/p&gt;

&lt;p&gt;All the preprocessing that you will ever need is built right into the layers of the model so that the model just accepts raw data and preprocesses it by itself without the need to have separate functions. (makes deployment a hell of a lot easier)&lt;/p&gt;

&lt;p&gt;The code can handle very large CSV files too. (greater than 10GB)&lt;/p&gt;

&lt;p&gt;Keras-tuner is used to determine the optimal kernel regularization values and activation functions.&lt;/p&gt;

&lt;p&gt;&lt;a href="https://colab.research.google.com/drive/1FzSQQR5ta7UGUNJZVYO8GjvNNSWjes3N?usp=sharing"&gt;https://colab.research.google.com/drive/1FzSQQR5ta7UGUNJZVYO8GjvNNSWjes3N?usp=sharing&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;I agree that it's not a "one size fits all" but you never know when it might be useful.&lt;/p&gt;

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      <category>python</category>
      <category>machinelearning</category>
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