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	<title>TensorFlow Archives : Predictive Modeler</title>
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	<title>TensorFlow Archives : Predictive Modeler</title>
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	<item>
		<title>Tf: XOR Problem</title>
		<link>https://predictivemodeler.com/2019/12/14/tf-xor-problem/</link>
					<comments>https://predictivemodeler.com/2019/12/14/tf-xor-problem/#respond</comments>
		
		<dc:creator><![CDATA[Syed Mehmud]]></dc:creator>
		<pubDate>Sat, 14 Dec 2019 15:59:17 +0000</pubDate>
				<category><![CDATA[Practice]]></category>
		<category><![CDATA[TensorFlow]]></category>
		<category><![CDATA[XOR]]></category>
		<guid isPermaLink="false">https://predictivemodeler.com/?p=2785</guid>

					<description><![CDATA[<p>Here is some video commentary on the code, the code itself is below the video:</p>
<p>The post <a href="https://predictivemodeler.com/2019/12/14/tf-xor-problem/">Tf: XOR Problem</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Here is some video commentary on the code, the code itself is below the video:</p>
<div style="position: relative; padding-bottom: 25%; height: 0;"><iframe src="https://www.loom.com/embed/950a519f24504cdda9f0ca44cd2f164a" frameborder="0" webkitallowfullscreen mozallowfullscreen allowfullscreen style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;"></iframe></div>
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<p>The post <a href="https://predictivemodeler.com/2019/12/14/tf-xor-problem/">Tf: XOR Problem</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
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		<item>
		<title>TensorFlow: Boston House Prices</title>
		<link>https://predictivemodeler.com/2019/10/19/tensorflow-boston-house-prices/</link>
					<comments>https://predictivemodeler.com/2019/10/19/tensorflow-boston-house-prices/#comments</comments>
		
		<dc:creator><![CDATA[Syed Mehmud]]></dc:creator>
		<pubDate>Sat, 19 Oct 2019 15:21:22 +0000</pubDate>
				<category><![CDATA[Practice]]></category>
		<category><![CDATA[TensorFlow]]></category>
		<category><![CDATA[Boston House Price]]></category>
		<guid isPermaLink="false">https://predictivemodeler.com/?p=2746</guid>

					<description><![CDATA[<p>The post <a href="https://predictivemodeler.com/2019/10/19/tensorflow-boston-house-prices/">TensorFlow: Boston House Prices</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></description>
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<p>The post <a href="https://predictivemodeler.com/2019/10/19/tensorflow-boston-house-prices/">TensorFlow: Boston House Prices</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Tf: Regression tutorial</title>
		<link>https://predictivemodeler.com/2019/10/19/tf-regression-tutorial/</link>
					<comments>https://predictivemodeler.com/2019/10/19/tf-regression-tutorial/#respond</comments>
		
		<dc:creator><![CDATA[Syed Mehmud]]></dc:creator>
		<pubDate>Sat, 19 Oct 2019 12:44:46 +0000</pubDate>
				<category><![CDATA[Practice]]></category>
		<category><![CDATA[TensorFlow]]></category>
		<category><![CDATA[Neural Networks]]></category>
		<guid isPermaLink="false">https://predictivemodeler.com/?p=2740</guid>

					<description><![CDATA[<p>After installing TensorFlow, you can try running the following script that shows the application of neural networks to make predictions for a continuous variable using other numeric &#38; categorical predictors. This script has been downloaded (with minimal modifications) from: TensorFlow site.</p>
<p>The post <a href="https://predictivemodeler.com/2019/10/19/tf-regression-tutorial/">Tf: Regression tutorial</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>After <a href="https://predictivemodeler.com/2019/10/17/installing-tensorflow/">installing TensorFlow</a>, you can try running the following script that shows the application of <em>neural networks</em> to make predictions for a continuous variable using other numeric &amp; categorical predictors. This script has been downloaded (with minimal modifications) from: <a href="https://www.tensorflow.org/tutorials/keras/regression" target="_blank" rel="noopener noreferrer">TensorFlow site</a>.</p>
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<p>The post <a href="https://predictivemodeler.com/2019/10/19/tf-regression-tutorial/">Tf: Regression tutorial</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
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			</item>
		<item>
		<title>What is TensorFlow?</title>
		<link>https://predictivemodeler.com/2019/10/19/what-is-tensorflow/</link>
					<comments>https://predictivemodeler.com/2019/10/19/what-is-tensorflow/#respond</comments>
		
		<dc:creator><![CDATA[Syed Mehmud]]></dc:creator>
		<pubDate>Sat, 19 Oct 2019 11:43:14 +0000</pubDate>
				<category><![CDATA[Practice]]></category>
		<category><![CDATA[TensorFlow]]></category>
		<guid isPermaLink="false">https://predictivemodeler.com/?p=2733</guid>

					<description><![CDATA[<p>Think of TensorFlow as a high-performance, easy-to-use framework to perform machine learning. The specific algorithm used for this machine learning is neural networks. But these are not ordinary neural nets. These are a souped-up version, including fancy stuff such as or neural nets. Created by the Google Brain team, TensorFlow provides a user-friendly python front-end, but [&#8230;]</p>
<p>The post <a href="https://predictivemodeler.com/2019/10/19/what-is-tensorflow/">What is TensorFlow?</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Think of TensorFlow as a high-performance, easy-to-use framework to perform machine learning. The specific algorithm used for this machine learning is <em>neural networks</em>. But these are not ordinary neural nets. These are a souped-up version, including fancy stuff such as <span class="tooltips " style="" title="From &lt;a href=&quot;https://en.wikipedia.org/wiki/Convolutional_neural_network&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;Wikipedia&lt;/a&gt;"><span style="color: #000080;"><em>convolutional</em></span></span> or <span class="tooltips " style="" title="From &lt;a href=&quot;https://en.wikipedia.org/wiki/Generative_adversarial_network&quot; target=&quot;_blank&quot; rel=&quot;noopener noreferrer&quot;&gt;Wikipedia&lt;/a&gt;"><span style="color: #000080;"><em>adversarial</em></span></span> neural nets. Created by the Google Brain team, TensorFlow provides a user-friendly python front-end, but the computations are done in high performance C++ binaries. Can you tell how excited I am to learn more about this framework and share it with you (if you can&#8217;t, I need to work on my writing skills!)?</p>
<p>There are better written resources on the web. Here are a few I liked:</p>
<ul>
<li>From the developers themselves: <a href="https://www.tensorflow.org/about/" target="_blank" rel="noopener noreferrer">TensorFlow</a></li>
<li>InfoWorld: <a href="https://www.infoworld.com/article/3278008/what-is-tensorflow-the-machine-learning-library-explained.html" target="_blank" rel="noopener noreferrer">What is TensorFlow? The machine learning library explained</a></li>
<li><a href="http://playground.tensorflow.org" target="_blank" rel="noopener noreferrer">Play around with a NeuralNet, right in your browser</a>!</li>
</ul>
<p>The post <a href="https://predictivemodeler.com/2019/10/19/what-is-tensorflow/">What is TensorFlow?</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Tf: Quickstart with TensorFlow</title>
		<link>https://predictivemodeler.com/2019/10/19/tf-quickstart-with-tensorflow/</link>
					<comments>https://predictivemodeler.com/2019/10/19/tf-quickstart-with-tensorflow/#respond</comments>
		
		<dc:creator><![CDATA[Syed Mehmud]]></dc:creator>
		<pubDate>Sat, 19 Oct 2019 11:01:39 +0000</pubDate>
				<category><![CDATA[Practice]]></category>
		<category><![CDATA[TensorFlow]]></category>
		<guid isPermaLink="false">https://predictivemodeler.com/?p=2725</guid>

					<description><![CDATA[<p>After installing TensorFlow, you can try running a quickstart / beginner script (below, downloaded from the TensorFlow site).</p>
<p>The post <a href="https://predictivemodeler.com/2019/10/19/tf-quickstart-with-tensorflow/">Tf: Quickstart with TensorFlow</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>After <a href="https://predictivemodeler.com/2019/10/17/installing-tensorflow/">installing TensorFlow</a>, you can try running a quickstart / beginner script (below, downloaded from the <a href="https://www.tensorflow.org/tutorials/quickstart/beginner" target="_blank" rel="noopener noreferrer">TensorFlow site</a>).</p>
<hr />

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<p>The post <a href="https://predictivemodeler.com/2019/10/19/tf-quickstart-with-tensorflow/">Tf: Quickstart with TensorFlow</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></content:encoded>
					
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			</item>
		<item>
		<title>Installing TensorFlow</title>
		<link>https://predictivemodeler.com/2019/10/17/installing-tensorflow/</link>
					<comments>https://predictivemodeler.com/2019/10/17/installing-tensorflow/#respond</comments>
		
		<dc:creator><![CDATA[Syed Mehmud]]></dc:creator>
		<pubDate>Thu, 17 Oct 2019 13:25:10 +0000</pubDate>
				<category><![CDATA[Practice]]></category>
		<category><![CDATA[TensorFlow]]></category>
		<guid isPermaLink="false">https://predictivemodeler.com/?p=2715</guid>

					<description><![CDATA[<p>TensorFlow is great for creating machine learning solutions. The process of installing it is relatively straightforward: Step 1: Make sure you have Anaconda installed. If not, go to: Installing Anaconda Step 2: Installing TensorFlow. Initiate the Anaconda prompt (search for &#8220;Anaconda&#8221;, you should see the program as well as &#8220;Anaconda Prompt&#8221;).  After initiating the DOS [&#8230;]</p>
<p>The post <a href="https://predictivemodeler.com/2019/10/17/installing-tensorflow/">Installing TensorFlow</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>TensorFlow is great for creating machine learning solutions. The process of installing it is relatively straightforward:</p>
<p>Step 1: Make sure you have Anaconda installed. If not, go to: <a href="https://predictivemodeler.com/2019/01/11/installing-anaconda/">Installing Anaconda</a></p>
<p>Step 2: Installing TensorFlow. Initiate the Anaconda prompt (search for &#8220;Anaconda&#8221;, you should see the program as well as &#8220;Anaconda Prompt&#8221;).  After initiating the DOS prompt, follow the <a href="https://www.anaconda.com/tensorflow-in-anaconda/" target="_blank" rel="noopener noreferrer">instructions here</a>.</p>
<p>That&#8217;s it! Now you have an environment &#8216;tensorflow_env&#8217; installed within Anaconda. You can see it by opening the Anaconda program and changing the environment to &#8216;tensorflow_env&#8217;. Then install JupyterLab in this environment, and open JupyterLab. You can download a sample tensorflow python notebook <a href="https://www.tensorflow.org/tutorials/quickstart/beginner" target="_blank" rel="noopener noreferrer">here</a> (see the <em>download notebook</em> link). Then open it with JypyterLab and execute on the cells.</p>
<p>The post <a href="https://predictivemodeler.com/2019/10/17/installing-tensorflow/">Installing TensorFlow</a> appeared first on <a href="https://predictivemodeler.com">Predictive Modeler</a>.</p>
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