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    <title>topic 2 video tutorials on dropout and batch normalization in deep learning in SAS Data Science</title>
    <link>https://communities.sas.com/t5/SAS-Data-Science/2-video-tutorials-on-dropout-and-batch-normalization-in-deep/m-p/614978#M8114</link>
    <description>&lt;P&gt;Hi there community, Happy New Year!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here are a couple of deep learning-related tutorials to get you going.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I think you’ll enjoy the explanation of dropout in deep learning by&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/37323"&gt;@RobertBlanchard&lt;/a&gt;&amp;nbsp;in this tutorial. He tells a story about a “nose neuron” in a training process. “Dropout forces neurons in your model to become more generalists as opposed to specialists,” he explains.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;div class="video-embed-center video-embed"&gt;&lt;iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FyAZAWzdzPFQ%3Flist%3DPLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87&amp;amp;display_name=YouTube&amp;amp;url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DyAZAWzdzPFQ&amp;amp;image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FyAZAWzdzPFQ%2Fhqdefault.jpg&amp;amp;type=text%2Fhtml&amp;amp;schema=youtube" width="600" height="337" scrolling="no" title="SAS Tutorial | How to use Dropout in Deep Learning" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/37323"&gt;@RobertBlanchard&lt;/a&gt;&amp;nbsp;then tells us how to use batch normalization in a deep learning model. Batch normalization is typically used to solve – or at least mitigate – the internal covariate shift problem. Watch to learn more.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;div class="video-embed-center video-embed"&gt;&lt;iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FeMI2JQTaoS0%3Flist%3DPLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87&amp;amp;display_name=YouTube&amp;amp;url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DeMI2JQTaoS0&amp;amp;image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FeMI2JQTaoS0%2Fhqdefault.jpg&amp;amp;type=text%2Fhtml&amp;amp;schema=youtube" width="600" height="337" scrolling="no" title="SAS Tutorial | What is Batch Normalization" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;EM&gt;(Comments are closed on this message -- but visit&amp;nbsp;&lt;A href="http://youtube.com/sasusers" target="_blank"&gt;YouTube&lt;/A&gt;&amp;nbsp;and leave a comment on the video.&amp;nbsp;&lt;STRONG&gt;Subscribe&lt;/STRONG&gt;&amp;nbsp;to the SAS Users YouTube channel to get more like it!)&lt;/EM&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Anna&lt;/P&gt;</description>
    <pubDate>Fri, 03 Jan 2020 14:44:01 GMT</pubDate>
    <dc:creator>AnnaBrown</dc:creator>
    <dc:date>2020-01-03T14:44:01Z</dc:date>
    <item>
      <title>2 video tutorials on dropout and batch normalization in deep learning</title>
      <link>https://communities.sas.com/t5/SAS-Data-Science/2-video-tutorials-on-dropout-and-batch-normalization-in-deep/m-p/614978#M8114</link>
      <description>&lt;P&gt;Hi there community, Happy New Year!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Here are a couple of deep learning-related tutorials to get you going.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I think you’ll enjoy the explanation of dropout in deep learning by&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/37323"&gt;@RobertBlanchard&lt;/a&gt;&amp;nbsp;in this tutorial. He tells a story about a “nose neuron” in a training process. “Dropout forces neurons in your model to become more generalists as opposed to specialists,” he explains.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;div class="video-embed-center video-embed"&gt;&lt;iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FyAZAWzdzPFQ%3Flist%3DPLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87&amp;amp;display_name=YouTube&amp;amp;url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DyAZAWzdzPFQ&amp;amp;image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FyAZAWzdzPFQ%2Fhqdefault.jpg&amp;amp;type=text%2Fhtml&amp;amp;schema=youtube" width="600" height="337" scrolling="no" title="SAS Tutorial | How to use Dropout in Deep Learning" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/37323"&gt;@RobertBlanchard&lt;/a&gt;&amp;nbsp;then tells us how to use batch normalization in a deep learning model. Batch normalization is typically used to solve – or at least mitigate – the internal covariate shift problem. Watch to learn more.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;div class="video-embed-center video-embed"&gt;&lt;iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fwww.youtube.com%2Fembed%2FeMI2JQTaoS0%3Flist%3DPLVV6eZFA22QwrXd6nSDU18E6XgXSMOs87&amp;amp;display_name=YouTube&amp;amp;url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DeMI2JQTaoS0&amp;amp;image=https%3A%2F%2Fi.ytimg.com%2Fvi%2FeMI2JQTaoS0%2Fhqdefault.jpg&amp;amp;type=text%2Fhtml&amp;amp;schema=youtube" width="600" height="337" scrolling="no" title="SAS Tutorial | What is Batch Normalization" frameborder="0" allow="autoplay; fullscreen; encrypted-media; picture-in-picture;" allowfullscreen="true"&gt;&lt;/iframe&gt;&lt;/div&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;EM&gt;(Comments are closed on this message -- but visit&amp;nbsp;&lt;A href="http://youtube.com/sasusers" target="_blank"&gt;YouTube&lt;/A&gt;&amp;nbsp;and leave a comment on the video.&amp;nbsp;&lt;STRONG&gt;Subscribe&lt;/STRONG&gt;&amp;nbsp;to the SAS Users YouTube channel to get more like it!)&lt;/EM&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Anna&lt;/P&gt;</description>
      <pubDate>Fri, 03 Jan 2020 14:44:01 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Data-Science/2-video-tutorials-on-dropout-and-batch-normalization-in-deep/m-p/614978#M8114</guid>
      <dc:creator>AnnaBrown</dc:creator>
      <dc:date>2020-01-03T14:44:01Z</dc:date>
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