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<?xml-stylesheet type="text/xsl" href="https://devzone.nordicsemi.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deploying Edge Impulse C++ Model on nRF5340 DK with Zephyr</title><link>https://devzone.nordicsemi.com/f/nordic-q-a/123241/deploying-edge-impulse-c-model-on-nrf5340-dk-with-zephyr</link><description>We attempted to deploy an Edge Impulse machine learning model on the nRF5340 DK for a simple test project. The model was trained using labeled IMU data (x, y, z) and used the Spectral Analysis DSP block followed by a Classification block. After training</description><dc:language>en-US</dc:language><generator>Telligent Community 13</generator><lastBuildDate>Thu, 24 Jul 2025 13:42:54 GMT</lastBuildDate><atom:link rel="self" type="application/rss+xml" href="https://devzone.nordicsemi.com/f/nordic-q-a/123241/deploying-edge-impulse-c-model-on-nrf5340-dk-with-zephyr" /><item><title>RE: Deploying Edge Impulse C++ Model on nRF5340 DK with Zephyr</title><link>https://devzone.nordicsemi.com/thread/543525?ContentTypeID=1</link><pubDate>Thu, 24 Jul 2025 13:42:54 GMT</pubDate><guid isPermaLink="false">137ad170-7792-4731-bb38-c0d22fbe4515:3257178b-a077-4d57-be1d-fc63dd2e8efb</guid><dc:creator>runsiv</dc:creator><description>&lt;p&gt;Closed due to duplicate of 348934&lt;/p&gt;
&lt;p&gt;Runar&lt;/p&gt;&lt;div style="clear:both;"&gt;&lt;/div&gt;</description></item></channel></rss>