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		<title>Recurrent neural network &#8211; predict monthly milk production</title>
		<link>https://petaminds.com/recurrent-neural-network-predict-monthly-milk-production/</link>
					<comments>https://petaminds.com/recurrent-neural-network-predict-monthly-milk-production/#respond</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Thu, 28 Nov 2019 20:50:24 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[LSTM]]></category>
		<category><![CDATA[milk]]></category>
		<category><![CDATA[neural network]]></category>
		<category><![CDATA[production]]></category>
		<category><![CDATA[recurrent]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=1904</guid>

					<description><![CDATA[<p>In part 1, we introduced a simple RNN for time-series data. To continue, this article applies a deep version of RNN on a real dataset to predict monthly milk production. The data Monthly milk production: pounds per cow. Jan 1962 &#8211; Dec 1975. You can download the data using this link. Download: CSV file The [&#8230;]</p>
<p>The post <a href="https://petaminds.com/recurrent-neural-network-predict-monthly-milk-production/">Recurrent neural network &#8211; predict monthly milk production</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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		<title>Recurrent neural network &#8211; time-series data- part 1</title>
		<link>https://petaminds.com/recurrent-neural-network-time-series-data-part-1/</link>
					<comments>https://petaminds.com/recurrent-neural-network-time-series-data-part-1/#comments</comments>
		
		<dc:creator><![CDATA[Tung Nguyen]]></dc:creator>
		<pubDate>Fri, 22 Nov 2019 00:09:00 +0000</pubDate>
				<category><![CDATA[data science]]></category>
		<category><![CDATA[Project]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[keras]]></category>
		<category><![CDATA[neural network]]></category>
		<category><![CDATA[recurrent]]></category>
		<category><![CDATA[rnn]]></category>
		<category><![CDATA[tf2]]></category>
		<category><![CDATA[time-series]]></category>
		<guid isPermaLink="false">https://petaminds.com/?p=1863</guid>

					<description><![CDATA[<p>If you are human and curious about your future, then the recurrent neural network (RNN) is definitely a tool to consider. Part 1 will demonstrate some simple RNNs using TensorFlow 2.0 and Keras functional API. What is RNN An&#160;RNN is a class of&#160;artificial neural networks&#160;where connections between nodes form a&#160;directed graph&#160;along a temporal sequence (time [&#8230;]</p>
<p>The post <a href="https://petaminds.com/recurrent-neural-network-time-series-data-part-1/">Recurrent neural network &#8211; time-series data- part 1</a> appeared first on <a href="https://petaminds.com">Petamind</a>.</p>
]]></description>
		
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