<div dir="ltr"><div class="gmail_default" style="font-size:small">FYI</div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">---------- Forwarded message ---------<br>From: <strong class="gmail_sendername" dir="auto">Angelo D'Amato</strong> <span dir="auto"><<a href="mailto:adamato@mathworks.com">adamato@mathworks.com</a>></span><br>Date: Mon, Jun 15, 2020 at 1:32 PM<br>Subject: Automate Image Labeling and Iterative Learning in MATLAB<br>To: Angelo D'Amato <<a href="mailto:adamato@mathworks.com">adamato@mathworks.com</a>><br></div><br><br>
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<p class="MsoNormal" style="line-height:106%"><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif">Automated image labeling helps to reduce the time and effort that it takes to label your dataset.
MATLAB significantly reduces the time required to preprocess and label datasets with domain-specific apps for audio, video, images and text data.<u></u><u></u></span></span></p>
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<p class="MsoNormal" style="line-height:106%"><span><a name="m_3900938070240011409__Hlk35872939"><b><span style="font-size:11.0pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">Automate Image Labeling and Iterative Learning in MATL</span></b></a></span><span><b><span style="font-size:11.0pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">AB
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<p class="MsoNormal" style="line-height:106%"><span><a name="m_3900938070240011409__Hlk508988091"><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">Date: June 17, 2020<br>
Time: 2:00PM – 3:00PM EDT<u></u><u></u></span></a></span></p>
<p class="MsoNormal" style="line-height:106%"><span><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">Venue: WebEx Online Session</span></span></span><span><span><span style="font-size:10.0pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c"><u></u><u></u></span></span></span></p>
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<p class="MsoNormal" style="line-height:106%"><span><span><a name="m_3900938070240011409__Hlk40277859"><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#1a1a1a">Join us for a
complimentary online session as we show how to use apps for labeling image and video data to build AI models. We explore preprocessing to facilitate feature extraction and present approaches to building models in an iterative fashion, validating predicted
labels and incorporating on-the-fly models to label large datasets. We also discuss automating pixel-level labeling for semantic segmentation workflows.<u></u><u></u></span></a></span></span></p>
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<p class="MsoNormal" style="line-height:106%"><span><b><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">Learn How To:
<u></u><u></u></span></b></span></p>
<p class="MsoNormal" style="line-height:106%"><span><b><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c"><u></u> <u></u></span></b></span></p>
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<span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif">Preprocess and label datasets faster with domain-specific apps for audio, video, images and text data<u></u><u></u></span></span></li><li class="m_3900938070240011409MsoListParagraphCxSpMiddle" style="color:#3c3c3c;line-height:106%">
<span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif">Use interactive apps to label, crop and identify important features and automate the process of labeling<u></u><u></u></span></span></li><li class="m_3900938070240011409MsoListParagraphCxSpMiddle" style="color:#3c3c3c;line-height:106%">
<span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif">Create, visualize and edit deep learning networks with our easy-to-use Deep Network Designer app<u></u><u></u></span></span></li><li class="m_3900938070240011409MsoListParagraphCxSpMiddle" style="color:#3c3c3c;line-height:106%">
<span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif">Incorporate deep learning models without having to create complex network architectures from scratch<u></u><u></u></span></span></li><li class="m_3900938070240011409MsoListParagraphCxSpLast" style="color:#3c3c3c;line-height:106%">
<span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif">Accelerate development and training of deep learning networks with GPUs, clusters and cloud resources<u></u><u></u></span></span></li></ul>
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<p class="MsoNormal" style="line-height:106%"><span><b><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">To register visit:</span></b></span><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">
</span></span><a href="https://www.mathworks.com/company/events/seminars/automate-image-3138255.html" target="_blank"><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif">https://www.mathworks.com/company/events/seminars/automate-image-3138255.html</span></span><span></span></a><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif"><u></u><u></u></span></span></p>
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<p class="MsoNormal" align="center" style="text-align:center;line-height:105%"><span><i><span style="font-size:10.5pt;line-height:105%;font-family:"Arial",sans-serif;color:#3c3c3c">Join the WebEx Meeting link will be available
once your register. Add the event to your <u></u><u></u></span></i></span></p>
<p class="MsoNormal" align="center" style="text-align:center;line-height:106%"><span><i><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">calendar and the link will appear on your
calendar to sign in the day of the event.<u></u><u></u></span></i></span></p>
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<p class="MsoNormal" style="line-height:106%"><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">Feel free to email me for support, trial software or any questions on this session
at </span></span><a href="mailto:adamato@mathworks.com" target="_blank"><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif">adamato@mathworks.com</span></span><span></span></a><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">.
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</span></span><span><span style="font-family:"Arial",sans-serif;color:#3c3c3c"><br>
</span></span><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">Sincerely,<u></u><u></u></span></span></p>
<p class="MsoNormal" style="line-height:106%"><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c"><br>
Angelo D'Amato<u></u><u></u></span></span></p>
<p class="MsoNormal" style="line-height:106%"><span><span style="font-size:10.5pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c">Sr. Account Manager<br>
MathWorks <u></u><u></u></span></span></p>
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<p class="MsoNormal" style="line-height:106%"><u></u><a href="http://app.go.mathworks.com/e/er?s=646005169&lid=47&elq=%3cspan%20class=eloquaemail%3erecipientid%3c/span%3e" target="_blank"><img border="0" width="126" height="24" style="width:1.3125in;height:.25in" src="cid:172b97e61464ce8e91" align="left" hspace="12" alt="MathWorks" title=""></a><u></u><span></span><span><span style="font-size:10.0pt;line-height:106%;font-family:"Arial",sans-serif;color:#3c3c3c"><u></u><u></u></span></span></p>
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</div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><div><span style="font-family:arial,sans-serif">Scott Briggs</span><br></div><div><font face="arial, sans-serif">Administrator</font></div><div dir="ltr"><font face="arial, sans-serif">Advanced Study Program<br>National Center For Atmospheric Research</font></div><div dir="ltr"><font face="arial, sans-serif">303.497.1607</font></div></div><div dir="ltr"><div><font size="1" face="arial, sans-serif"><i>My working day may not be your working day. Please do not feel obliged to reply to this email outside of your normal working hours.</i></font></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>