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    <title>PyPI recent updates for trueloss</title>
    <link>https://pypi.org/project/trueloss/</link>
    <description>Recent updates to the Python Package Index for trueloss</description>
    <language>en</language>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/trueloss/0.2.1/</link>
      <description>A Keras utility for measuring training loss and metrics in evaluation mode for clearer comparison with validation performance.</description>
<author>trueloss.py@gmail.com</author>      <pubDate>Wed, 15 Jul 2026 00:57:29 GMT</pubDate>
    </item>    <item>
      <title>0.2.0.2</title>
      <link>https://pypi.org/project/trueloss/0.2.0.2/</link>
      <description>A Keras utility for measuring training loss and metrics in evaluation mode for clearer comparison with validation performance.</description>
<author>trueloss.py@gmail.com</author>      <pubDate>Fri, 10 Jul 2026 15:01:42 GMT</pubDate>
    </item>    <item>
      <title>0.2.0.1</title>
      <link>https://pypi.org/project/trueloss/0.2.0.1/</link>
      <description>A Keras utility for measuring training loss and metrics in evaluation mode for clearer comparison with validation performance.</description>
<author>trueloss.py@gmail.com</author>      <pubDate>Fri, 10 Jul 2026 14:54:54 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/trueloss/0.2.0/</link>
      <description>A Keras utility for measuring training loss and metrics in evaluation mode for clearer comparison with validation performance.</description>
<author>trueloss.py@gmail.com</author>      <pubDate>Fri, 10 Jul 2026 14:44:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/trueloss/0.1.4/</link>
      <description>A library for computing true training loss in Keras models without regularization effects.</description>
<author>trueloss.py@gmail.com</author>      <pubDate>Wed, 08 Jul 2026 08:52:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/trueloss/0.1.3/</link>
      <description>A library for computing true training loss in Keras models without regularization effects.</description>
<author>trueloss.py@gmail.com</author>      <pubDate>Thu, 20 Jun 2024 05:42:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/trueloss/0.1.2/</link>
      <description>A library for computing true training loss in Keras models without regularization effects.</description>
<author>trueloss.py@gmail.com</author>      <pubDate>Thu, 20 Jun 2024 04:44:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/trueloss/0.1.1/</link>
      <description>trueloss gives out the base loss for a keras neural network</description>
<author>trueloss.py@gmail.com</author>      <pubDate>Tue, 18 Jun 2024 05:59:03 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/trueloss/0.1.0/</link>
      <description>trueloss gives out the base loss for a keras neural network</description>
<author>trueloss.py@gmail.com.com</author>      <pubDate>Tue, 18 Jun 2024 05:27:25 GMT</pubDate>
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