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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>Vision Transformer - Glosarix</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="rkymiuIttm"&gt;&lt;a href="https://glosarix.com/en/glossary/vision-transformer-en/"&gt;Vision Transformer&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://glosarix.com/en/glossary/vision-transformer-en/embed/#?secret=rkymiuIttm" width="600" height="338" title="&#x201C;Vision Transformer&#x201D; &#x2014; Glosarix" data-secret="rkymiuIttm" 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 Vision Transformer is a model architecture that applies the principles of transformers, originally designed for natural language processing, to image data. This innovative approach allows the model to capture spatial relationships and patterns in images more effectively than traditional architectures, such as convolutional neural networks (CNNs). By utilizing attention mechanisms, the Vision Transformer [&hellip;]</description></oembed>
