[bioundgrd] FW: Introduction to Deep Learning 6.S191

[Joshua Stone]

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From: Ava Soleimany <asolei at mit.edu<mailto:asolei at mit.edu>>
Subject: [IAP 2022] Introduction to Deep Learning 6.S191


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[IAP 2022] Introduction to Deep Learning 6.S191

MIT’s Introduction to Deep Learning (6.S191) will be running virtually this IAP (January 2022)! 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 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, NVIDIA, RevAI, and Innoviz.

Dates: Monday January 24 - Friday January 28
Time: 1:00-4:00pm Eastern Time
Location: Online / Zoom strongly encouraged; 10-250 for (limited) in-person attendance

To register: 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/gQJo2D

More information: http://introtodeeplearning.com<http://introtodeeplearning.com/>

Contact: introtodeeplearning-staff at mit.edu<mailto:introtodeeplearning-staff at mit.edu>
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