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	<title>Monotony Archive - m2hycon</title>
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		<title>Deep Lattice Networks (DLN)</title>
		<link>https://www.m2hycon.de/en/news/practice/deep-lattice-networks-dln/</link>
		
		<dc:creator><![CDATA[Elisa Jäger]]></dc:creator>
		<pubDate>Mon, 21 Jun 2021 13:34:52 +0000</pubDate>
				<category><![CDATA[Practice]]></category>
		<category><![CDATA[Technology trends]]></category>
		<category><![CDATA[binary]]></category>
		<category><![CDATA[Classification]]></category>
		<category><![CDATA[Deep lattice network]]></category>
		<category><![CDATA[Monotony]]></category>
		<category><![CDATA[Tensorflow]]></category>
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					<description><![CDATA[<p>Frequent problems that we are confronted with can be traced back to a (multidimensional) regression or a classification. Starting from a set of characteristics, regression attempts to represent the dependency between the characteristics and a target variable as a function.</p>
<p>Der Beitrag <a href="https://www.m2hycon.de/en/news/practice/deep-lattice-networks-dln/">Deep Lattice Networks (DLN)</a> erschien zuerst auf <a href="https://www.m2hycon.de/en/">m2hycon</a>.</p>
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