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I am free both tuesdays and thursdays morning (or 12:15 if this is what people want)
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<div class="">On May 18, 2020, at 9:18 AM, David Richards <<a href="mailto:dgr@jlab.org" class="">dgr@jlab.org</a>> wrote:</div>
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Hi Chris,
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<div class="">I think this is a good idea, since some of the AI talks do indeed look interesting. Tuesday or Thursday (maybe even better) at least don’t clash with seminars, etc., so would seem ideal to me.</div>
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<div class="">David<br class="">
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<div class="">On May 18, 2020, at 8:29 AM, Monahan, Christopher <<a href="mailto:cjmonahan@wm.edu" class="">cjmonahan@wm.edu</a>> wrote:</div>
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Hi everyone,</div>
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I know that there is no ideal time, but I was wondering whether we could find another day and time for the group meeting. Currently the Wednesday 12:15 pm slot clashes with the JLab AI Lunch Series, which has had some interesting-looking seminars. This week's,
for example, is</div>
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<span style="color: rgb(32, 31, 30); font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 15px; background-color: rgb(255, 255, 255); display: inline !important;" class="">Dr. Mustafa Mustafa (LBNL) ... a presentation on </span><span style="color: rgb(32, 31, 30); font-family: Calibri, Arial, Helvetica, sans-serif; font-size: 15px;" class="">“Introduction
to Deep Learning”</span></div>
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<span style="margin: 0px; font-size: 15px; font-family: Calibri, Arial, Helvetica, sans-serif; color: rgb(32, 31, 30); background-color: white;" class=""><span style="font-family: Calibri, Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255); display: inline !important;" class="">I
will introduce the modern incarnation of neural networks, specifically the construction process of deep models that are powering most recent advances in artificial intelligence. Assuming no prior knowledge of the field, the audience will be brought up to speed
with how neural networks work, how they are built and optimized and common tricks and techniques to improve their performance. By the end of the talk the audience will be familiar with start-of-the-art convolutional architectures and the stages of developments
that brought them about. If time permits, I will overview common science problem instances that can be tackled using deep learning.</span><br class="">
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We are no longer constrained by teaching schedules, so we could move the meeting to Tuesday or Thursday, at least for the summer?</div>
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Let me know what you think.</div>
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Regards,</div>
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Chris</div>
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Chris Monahan</div>
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Assistant Professor</div>
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Department of Physics</div>
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William & Mary</div>
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