<?xml-stylesheet type="text/xsl" href="https://community.element14.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/"><channel><title>Image Classification Using nanonets.io with the Raspberry Pi</title><link>/products/raspberry-pi/b/blog/posts/image-classification-using-nanonets-io-with-the-raspberry-pi</link><description>Recently I came across the nanonets.io website which provides APIs for image classification and detection. The one thing that caught my eye is the ease of use. Whenever you work around AI, it involves two steps, first is the training where a model is</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title>RE: Image Classification Using nanonets.io with the Raspberry Pi</title><link>https://community.element14.com/products/raspberry-pi/b/blog/posts/image-classification-using-nanonets-io-with-the-raspberry-pi</link><pubDate>Tue, 05 Feb 2019 20:43:16 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:bc2d4861-baae-439b-a128-0b2ae24c3a65</guid><dc:creator>rscasny</dc:creator><slash:comments>1</slash:comments><description>&lt;p&gt;Bikash,&lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;This is an interesting blog! thanks for doing it. &lt;/p&gt;&lt;p&gt;&amp;nbsp;&lt;/p&gt;&lt;p&gt;Randall&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=6459&amp;AppID=86&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item></channel></rss>