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    <title>PyPI recent updates for dlfs</title>
    <link>https://pypi.org/project/dlfs/</link>
    <description>Recent updates to the Python Package Index for dlfs</description>
    <language>en</language>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/dlfs/0.2.3/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Thu, 13 Jan 2022 22:10:28 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/dlfs/0.2.2/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Thu, 13 Jan 2022 21:49:00 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/dlfs/0.2.1/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Thu, 13 Jan 2022 21:35:24 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/dlfs/0.2.0/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Thu, 13 Jan 2022 21:04:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/dlfs/0.1.5/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Wed, 12 Jan 2022 00:10:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/dlfs/0.1.4/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Tue, 11 Jan 2022 23:29:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/dlfs/0.1.3/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Tue, 11 Jan 2022 23:18:34 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/dlfs/0.1.2/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Tue, 11 Jan 2022 20:11:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/dlfs/0.1.1/</link>
      <description>implement from scratch (using numpy arrays) a package based on tensorflow architecture which allows to build and train Fully Connected Networks and Convolutional Neural Networks (CNNs).</description>
<author>pablete.arino@gmail.com</author>      <pubDate>Tue, 11 Jan 2022 19:44:15 GMT</pubDate>
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