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    <title>Embedded Software and Tools ClinicのトピックMachine Learning i.MX RT1060</title>
    <link>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914547#M3</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Team,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;We will interested to learn Machine learning i.MX 1060. We will&amp;nbsp; get free hardware?&lt;/P&gt;&lt;P&gt;Because I got NXP imx6, NXP iMX7. Currently am not using because android things is stopped.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Balaji Babu&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 28 Aug 2019 02:25:29 GMT</pubDate>
    <dc:creator>trsbalaji</dc:creator>
    <dc:date>2019-08-28T02:25:29Z</dc:date>
    <item>
      <title>Machine Learning i.MX RT1060</title>
      <link>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914547#M3</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Team,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;We will interested to learn Machine learning i.MX 1060. We will&amp;nbsp; get free hardware?&lt;/P&gt;&lt;P&gt;Because I got NXP imx6, NXP iMX7. Currently am not using because android things is stopped.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Balaji Babu&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 28 Aug 2019 02:25:29 GMT</pubDate>
      <guid>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914547#M3</guid>
      <dc:creator>trsbalaji</dc:creator>
      <dc:date>2019-08-28T02:25:29Z</dc:date>
    </item>
    <item>
      <title>Re: Machine Learning i.MX RT1060</title>
      <link>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914548#M4</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;The details steps &lt;A href="https://community.nxp.com/community/virtualswclinic/projects/eiq-machine-learning-software-for-imx-rt"&gt;https://community.nxp.com/community/virtualswclinic/projects/eiq-machine-learning-software-for-imx-rt&lt;/A&gt; .&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 28 Aug 2019 02:41:52 GMT</pubDate>
      <guid>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914548#M4</guid>
      <dc:creator>Rita_Wang</dc:creator>
      <dc:date>2019-08-28T02:41:52Z</dc:date>
    </item>
    <item>
      <title>Re: Machine Learning i.MX RT1060</title>
      <link>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914549#M5</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Balaji,&lt;/P&gt;&lt;P&gt;The Software Clinic event offered a 20% discount (mentioned &lt;A href="https://web.cvent.com/event/7740fadf-2070-494a-bacf-3da3e78d5072/summary"&gt;here&lt;/A&gt;) but no free boards were offered. This specific event focused on i.MXRT1050 and i.MXRT1060 crossover processors.&lt;/P&gt;&lt;P&gt;See below the current supported platforms and enablement. As you can see, Arm NN (v19.05) is fully integrated into Yocto recipe supporting i.MX 8 Series (&lt;SPAN style="font-size: 11.0pt;"&gt;eIQ officially supports the NXP i.MX 8 Series but it is possible to build eIQ for i.MX 6 and i.MX 7 Series)&lt;/SPAN&gt;.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper" image-alt="pastedImage_1.png"&gt;&lt;img src="https://community.nxp.com/t5/image/serverpage/image-id/81955i9E5CDEE27EE52824/image-size/large?v=v2&amp;amp;px=999" role="button" title="pastedImage_1.png" alt="pastedImage_1.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Please refer to &lt;A href="https://www.nxp.com/docs/en/fact-sheet/EIQ-FS.pdf"&gt;eIQ Software Fact Sheet&lt;/A&gt; and &lt;A href="https://www.nxp.com/docs/en/nxp/user-guides/UM11226.pdf"&gt;NXP eIQ Machine Learning Enablement&lt;/A&gt; for details about supported platforms, features and software available with NXP eIQ.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;JC&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 28 Aug 2019 18:00:21 GMT</pubDate>
      <guid>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914549#M5</guid>
      <dc:creator>jc_pacheco</dc:creator>
      <dc:date>2019-08-28T18:00:21Z</dc:date>
    </item>
    <item>
      <title>Re: Machine Learning i.MX RT1060</title>
      <link>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914550#M6</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks Junan.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Could you please share the link how to build yocto image with machine learning.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Regards,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Balaji Babu&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sun, 08 Sep 2019 17:23:04 GMT</pubDate>
      <guid>https://community.nxp.com/t5/Embedded-Software-and-Tools/Machine-Learning-i-MX-RT1060/m-p/914550#M6</guid>
      <dc:creator>trsbalaji</dc:creator>
      <dc:date>2019-09-08T17:23:04Z</dc:date>
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