[bioundgrd] FW: [IAP 2020] Intro to Deep Learning

[Joshua Stone]

From: Ava Soleimany <asolei at mit.edu>
Date: Monday, December 16, 2019 at 8:00 AM
Subject: [IAP 2020] Intro to Deep Learning

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. Would you please forward the information below to the Biology undergraduate and graduate students? Thank you so much!

Best,
Ava

=======

Email subject: Introduction to Deep Learning 6.S191 IAP 2020

MIT’s Introduction to Deep Learning (6.S191) will be running this IAP (January 2020)! 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, NVIDIA, and Lambda Labs.

Dates: Monday January 27 - Friday January 31
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 10 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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