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<p>Dear Colleagues,</p>
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</p>
<p><b style="font-weight:normal;" id="docs-internal-guid-12a6a62f-50c7-ef78-e86d-51b2decb4c9d"></p>
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<span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:#ffffff;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">LRZ and
<b style="font-weight:normal;" id="docs-internal-guid-12a6a62f-50c8-2683-de64-c8bb7f480ea3">
<a href="http://www.nvidia.co.uk/dli" style="text-decoration:none;"><span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:#ffffff;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">NVIDIA
Deep Learning Institute</span></a><span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:#ffffff;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">
(DLI)</span></b> are excited to announce this one-day practical Deep Learning workshop at LRZ on Jan. 22nd, 2017 </span><span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:#ffffff;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">exclusively
for verifiable students, academic staff, and researchers</span><span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:#ffffff;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">.</span></p>
<p dir="ltr" style="line-height:1.728;margin-top:14pt;margin-bottom:14pt;"><span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:#ffffff;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">In
this full-day workshop, you will learn the basics of deep learning by training and deploying neural networks. Build the skill-set and toolbox you need to build your own deep learning solutions through hands-on projects. Learners will:</span></p>
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<span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Understand general terms
and background of deep learning</span></p>
</li><li dir="ltr" style="list-style-type:disc;font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;">
<p dir="ltr" style="line-height:1.728;margin-top:0pt;margin-bottom:0pt;background-color:#ffffff;">
<span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Implement common deep
learning workflows such as Image Classification and Object Detection</span></p>
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<p dir="ltr" style="line-height:1.728;margin-top:0pt;margin-bottom:0pt;background-color:#ffffff;">
<span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Manipulate training parameters
to improve accuracy</span></p>
</li><li dir="ltr" style="list-style-type:disc;font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;">
<p dir="ltr" style="line-height:1.728;margin-top:0pt;margin-bottom:0pt;background-color:#ffffff;">
<span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Modify internal layers
of neural networks to adapt to new problems</span></p>
</li><li dir="ltr" style="list-style-type:disc;font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;">
<p dir="ltr" style="line-height:1.728;margin-top:0pt;margin-bottom:14pt;background-color:#ffffff;">
<span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Deploy your networks
to start solving real-world problems</span></p>
</li></ul>
</b>You can register at <a href="https://www.lrz.de/services/compute/courses/2018-01-22_hdlw1w17/" class="OWAAutoLink" id="LPlnk444488" previewremoved="true">
https://www.lrz.de/services/compute/courses/2018-01-22_hdlw1w17/</a>
<p></p>
<p><b style="font-weight:normal;" id="docs-internal-guid-12a6a62f-50c9-2ac8-5dac-c6850fedcf17"></p>
<p dir="ltr" style="line-height:1.728;margin-top:0pt;margin-bottom:14pt;background-color:#ffffff;">
<span style="font-size:12pt;font-family:'Trebuchet MS';color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">The number of participants
is limited to 35. </span></p>
</b><br>
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Best regards / Mit freundlichen Gruessen
<div style="color:rgb(0,0,0); font-family:Helvetica; font-size:12px; font-style:normal; font-weight:normal; letter-spacing:normal; orphans:auto; text-align:start; text-indent:0px; text-transform:none; white-space:normal; widows:auto; word-spacing:0px; line-height:normal">
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Dr. Yu Wang</div>
<div style="word-wrap:break-word">Big Data Scientist <br>
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<span style="font-size:14pt">Leibniz Supercomputing Centre (LRZ)</span></div>
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Boltzmannstrasse 1 <br>
85748 Garching <br>
E-Mail: <a href="mailto:wang@lrz.de" id="LPNoLP">wang@lrz.de</a><br>
Telefon: +49 89 35831-7828</div>
<div style="word-wrap:break-word">Room: E.1.012</div>
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