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<oembed><version>1.0</version><provider_name>Glosarix</provider_name><provider_url>https://glosarix.com/en/</provider_url><author_name>Team Glosarix</author_name><author_url>https://glosarix.com/en/author/adm_glosarix/</author_url><title>Joint Feature Learning - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="N2kBppJRXt"&gt;&lt;a href="https://glosarix.com/en/glossary/joint-feature-learning-en/"&gt;Joint Feature Learning&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/joint-feature-learning-en/embed/#?secret=N2kBppJRXt" width="600" height="338" title="&#x201C;Joint Feature Learning&#x201D; &#x2014; Glosarix" data-secret="N2kBppJRXt" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script&gt;
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</html><description>Description: Joint Feature Learning is an approach in the field of neural networks that allows a model to learn useful representations of data from multiple tasks or domains simultaneously. This method is based on the idea that by sharing information between different tasks, the model can generalize better and improve its performance on each of [&hellip;]</description></oembed>
