[bioundgrd] FW: Introduction to Deep Learning 6.S191 IAP 2019
Joshua Stone
stonej at mit.edu
Tue Jan 8 13:05:33 EST 2019
From: Ava P Soleimany <asolei at mit.edu>
Subject: Introduction to Deep Learning 6.S191 IAP 2019
Hello,
Please see the announcement below regarding the IAP course: Introduction to Deep Learning (6.S191) which might be of interest to students in the Biology department! The course covers the fundamentals of designing intelligent machines with applications in a wide range of areas within medicine, engineering, and design, including computational biology and medical image analysis. Would you please forward the information below to the Course 7 undergraduate and graduate students? Thanks!
Best,
Ava
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Email subject: Introduction to Deep Learning 6.S191 IAP 2019
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MIT’s Introduction to Deep Learning (6.S191) will be running this IAP (January 2019)! 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 from leading researchers from Google, IBM, and NVIDIA.
Dates: Monday January 28 - Friday February 1
Time: 1:00pm-4:00pm
Location: 32-123
To pre-register: http://registrar.mit.edu/registration-academics/pre-registration
To register after pre-registration closes (Jan 11 at 5pm): MIT students can submit an add-drop form<https://studentformsandpetitions.mit.edu/sfp/student/myForms.htm> through WEBSIS.
Class is open to all listeners!
Mailing list: http://eepurl.com/df8UOn
More information: http://introtodeeplearning.com
Contact: introtodeeplearning-staff at mit.edu<mailto:introtodeeplearning-staff at mit.edu>
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