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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>Deep Generative Models - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="ojdet2tkPu"&gt;&lt;a href="https://glosarix.com/en/glossary/deep-generative-models-en/"&gt;Deep Generative Models&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/deep-generative-models-en/embed/#?secret=ojdet2tkPu" width="600" height="338" title="&#x201C;Deep Generative Models&#x201D; &#x2014; Glosarix" data-secret="ojdet2tkPu" 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: Deep Generative Models are a category of machine learning algorithms that specialize in creating new data based on patterns learned from existing datasets. Using complex architectures like deep neural networks, these models can capture the underlying distribution of the data and generate examples that are coherent and realistic. Unlike discriminative models, which focus on [&hellip;]</description></oembed>
