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<oembed><version>1.0</version><provider_name>Microsoft Research</provider_name><provider_url>https://www.microsoft.com/en-us/research</provider_url><author_name>Chengyun Qiu</author_name><author_url>https://www.microsoft.com/en-us/research/people/v-cheqi/</author_url><title>Network Morphism - Microsoft Research</title><type>rich</type><width>600</width><height>338</height><html>&lt;blockquote class="wp-embedded-content" data-secret="CYZIuoQuBD"&gt;&lt;a href="https://www.microsoft.com/en-us/research/project/network-morphism-2/"&gt;Network Morphism&lt;/a&gt;&lt;/blockquote&gt;&lt;iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/project/network-morphism-2/embed/#?secret=CYZIuoQuBD" width="600" height="338" title="&#x201C;Network Morphism&#x201D; &#x2014; Microsoft Research" data-secret="CYZIuoQuBD" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"&gt;&lt;/iframe&gt;&lt;script type="text/javascript"&gt;
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</html><description>We propose a novel learning scheme called network morphism. It morphs a parent network into a child network, allowing fast knowledge transferring. The child network is able to achieve the performance of the parent network immediately, and its performance shall continue to improve as the training process goes on. The proposed scheme allows any network [&hellip;]</description><thumbnail_url>https://www.microsoft.com/en-us/research/wp-content/uploads/2016/08/netmorph.png</thumbnail_url></oembed>
