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

[Joshua Stone]

Begin forwarded message:

From: Ava Soleimany <asolei at mit.edu<mailto:asolei at mit.edu>>
Subject: [IAP 2021] Intro to Deep Learning 6.S191
Date: January 5, 2021 at 9:00:00 AM EST

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.

Would you please forward the information and attachment below to the Course 7 students? Thank you so much!

Best,
Ava

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[IAP 2021] Introduction to Deep Learning 6.S191

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.

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.

Dates: Monday January 18- Friday January 29
Time: 1:00-3:00pm
Location: Online / Zoom

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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