[bioundgrd] FW: Introduction to Deep Learning IAP Course (6.S191)

[Joshua Stone]

From: Ava Soleimany <asolei at mit.edu>
Subject: Introduction to Deep Learning IAP Course (6.S191)

Good afternoon,

6.S191 Introduction to Deep Learning is a course we are organizing for this IAP, which may be of interest to the students in your department. We would sincerely appreciate it if you could forward the course registration information and flyer (both attached below) to your undergraduate and graduate student mailing lists.

Thank you so much!

Best,
Ava, on behalf of the 6.S191 Team

======
MIT Introduction to Deep Learning (6.S191) will be running this IAP (January 2018). This is a great opportunity for those interested in machine learning and/or in gaining practical experience implementing deep learning architectures and algorithms.

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 labs, which will guide students through implementing these algorithms in the popular framework Tensorflow. The course will conclude with a series of guest lectures, including Aaron Courville (author of the "Deep Learning" textbook) as well as leading researchers from Google, NVIDIA, IBM, and Tencent.

Information: http://introtodeeplearning.com<http://introtodeeplearning.com/>
Dates: Monday January 29 - Friday February 2
Time: 10:30am - 1:30pm
Location: 32-123

To pre-register: http://web.mit.edu/registrar/reg/prereg_info_iap.html

To register after pre-registration closes (Jan 12): Contact us and submit an add-drop form<https://studentformsandpetitions.mit.edu/sfp/student/myForms.htm> through WEBSIS. Seats are limited so register soon!


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