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<p class="MsoNormal">Begin forwarded message:<o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">From: </span></b><span style="font-family:"Helvetica Neue"">Ava Soleimany <<a href="mailto:asolei@mit.edu">asolei@mit.edu</a>></span><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">Subject: [IAP 2021] Intro to Deep Learning 6.S191</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">Date: </span></b><span style="font-family:"Helvetica Neue"">January 5, 2021 at 9:00:00 AM EST</span><o:p></o:p></p>
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<p class="MsoNormal">I hope this message finds you well. I’m a PhD student at MIT and a lecturer for the upcoming IAP course, Introduction to Deep Learning (6.S191), which I believe might be of interest to students in the Biology department! The course covers
the fundamentals of designing deep learning algorithms with applications in a wide range of areas.<o:p></o:p></p>
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<p class="MsoNormal">Would you please forward the information and attachment below to the Course 7 students? Thank you so much!<o:p></o:p></p>
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<p class="MsoNormal">Best,<o:p></o:p></p>
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<p class="MsoNormal">Ava<o:p></o:p></p>
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<p class="MsoNormal">=======<o:p></o:p></p>
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<p class="MsoNormal"><b>[IAP 2021] Introduction to Deep Learning 6.S191</b><o:p></o:p></p>
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<p class="MsoNormal">MIT’s Introduction to Deep Learning (6.S191) will be running virtually this IAP (January 2021)! This is a great opportunity for those interested in machine learning and/or in gaining practical experience implementing deep learning architectures
and algorithms. <o:p></o:p></p>
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<p class="MsoNormal">The class is a combination of content-based lectures on neural networks (basics, different architectures and their applications, new frontiers of deep learning research) and practical software labs, which will guide students through implementing
these algorithms in the popular framework TensorFlow. The course will conclude with a series of guest lectures from leading researchers from Google, IBM, Ernst & Young, and NVIDIA.<o:p></o:p></p>
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<p class="MsoNormal"><b>Dates:</b> Monday January 18- Friday January 29<o:p></o:p></p>
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<p class="MsoNormal"><b>Time: </b>1:00-3:00pm<o:p></o:p></p>
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<p class="MsoNormal"><b>Location:</b> Online / Zoom<o:p></o:p></p>
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<p class="MsoNormal"><b>To register:</b> MIT students can submit an <a href="https://studentformsandpetitions.mit.edu/sfp/student/myForms.htm" target="_blank">add-drop form</a> through WEBSIS. <o:p></o:p></p>
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<p class="MsoNormal"><b>Class is open to all listeners!</b><o:p></o:p></p>
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<p class="MsoNormal"><b>Mailing list: </b><a href="http://eepurl.com/gQJo2D" target="_blank">http://eepurl.com/gQJo2D</a><o:p></o:p></p>
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<p class="MsoNormal"><b>More information: </b><a href="http://introtodeeplearning.com/" target="_blank">http://introtodeeplearning.com</a> <o:p></o:p></p>
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<p class="MsoNormal"><b>Contact:</b> <a href="mailto:introtodeeplearning-staff@mit.edu" target="_blank">introtodeeplearning-staff@mit.edu</a><o:p></o:p></p>
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