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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>Latent Space - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="uoNFC7usmm"&gt;&lt;a href="https://glosarix.com/en/glossary/latent-space-en/"&gt;Latent Space&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/latent-space-en/embed/#?secret=uoNFC7usmm" width="600" height="338" title="&#x201C;Latent Space&#x201D; &#x2014; Glosarix" data-secret="uoNFC7usmm" 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: The &#x2018;latent space&#x2019; refers to a compressed representation of data in a lower-dimensional space, capturing the most relevant features of the original data. In the context of machine learning and deep learning, latent space is used to facilitate the understanding and manipulation of complex data, such as images or sequences. This space allows networks [&hellip;]</description></oembed>
