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d2l-study-group's Introduction

Deep Learning Study Group

About

In this free online study program, we will be studying the "Dive into Deep Learning" book by Aston Zhang, Zack C. Lipton, Mu Li, and Alex J. Smola.

All study sessions will be free and fully-remote. All sessions will be recorded and uploaded to YouTube.

Unlike other study groups, the format (tentative) will be as follows:

  • Chapters will be presented with slides, which will be followed by code walkthroughs
  • For every session, there will be a segment for discussion and Q&A
  • After every session, we will assign take-home exercises corresponding to the material covered in that session. Solutions should be uploaded to GitHub. (More instructions coming soon!)
  • Before every session, we will provide a list of extra reading material that will be helpful for the upcoming session
  • We plan to have guest lectures and presentations to provide additional practical value to students (TBA)
  • There will be one final project which will be done in groups. The groups have to present their work towards the end of the program. (More information coming soon!)

Instructions

  • Make sure to join our Slack group (channel: #d2l-study-group) for the latest schedule, updates and announcements.
  • We will take attendance and you will be eligible to receive a Certificate of Completion if you complete more than 80% of the exercises. We won't use any kind of grading system. We hope that all submissions of the exercises are true attempts to complete them. We will provide feedback on all submissions to help with completion when needed.
  • You are free to audit the sessions as well.

Schedule and Registration

The program is scheduled to start the first week of August and we will deliver sessions biweekly. The complete schedule will be announced soon. We have a max limit for how many participants can attend the program. Make sure to follow the registration steps using the information below.

To fully register for this program:

  • Ensure that you have joined our Slack group for more updates on the program. You will also find a spreadsheet there to officially enroll in the program and signup to be considered for the Certificate of Completion.
Chapter Suggested Readings Exercises Live Session Date/Time Slides Recording
Session 1 - Introduction to Deep Learning Find readings here Complete the list here Zoom (requires registration), YouTube Live August 1, 2020, 15:00 - 17:00 CEST PDF YouTube

How to Contribute

If you are interested to deliver chapters from the book, help as a TA, or deliver a special lecture, please reach out to me directly at [email protected].


Frequently Asked Questions

Q: How do I register to be considered for the certificate of completion?

A: You will need to join our Slack group and then enroll officially to be consided for the certificate of completion by adding your name to the spreadsheet shared in the #d2l-study-group channel. Look for the pinned message in the channel.


Q: How do I qualify for the certificate of completion?

A: The first step is to enroll in the program as stated above. Then you will need to complete at least 80% of the exercises assigned throughout the program. You will also need to complete the final project which will be done as a group work and presented towards the end of the program. Failure to complete at least 80% of the assignments or engaging in plagiarism will automatically disqualify from being awarded a certificate of completion.


Q: How are the assignments graded?

A: We don't pass or fail assignments. You will be given either a complete or incomplete status for each assignment. If your assignment is incomplete, we will provide you feedback and will allow you to resubmit but it has to be resubmitted in the period of 48 hours after the original deadline. If you submit the assignments after the deadline they will be labeled as incomplete and we won't provide you feedback for these cases.


Q: Can I audit the sessions of the program?

A: You are free to audit the sessions without the need to complete the exercises. All sessions will be streamed publicly on both Zoom and YouTube. Schedule information will be provided here and on our Meetup page.


Q: Where do I go for the latest information regarding the program?

A: All the latest information regarding the program such as schedule, upcoming sessions, and video recodings will be maintained in this repository. If you have any other questions, you can open an issue here or submit your questions in the Slack channel.


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