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🧠 Material for the Deep Learning Study Group
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# Deep Learning Study Group ### About In this free online study program, we will be studying the ["Dive into Deep Learning"](https://d2l.ai/index.html) 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](https://www.youtube.com/channel/UCyna_OxOWL7IEuOwb7WhmxQ?view_as=subscriber). 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. We will ask you to upload programming solutions either through GitHub or Google Colab. Find the instructions for each assignment in the full schedule below. - Before every session, we will provide a list of extra reading material, ahead of time, 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. Feel free to reach out to me on [Twitter](https://twitter.com/omarsar0) for an invite to our Slack group. - You will be eligible to receive a **Certificate of Completion** if you complete more than 80% of the exercises. In addition, you must complete and present your final project to be eligible for the certificate. We won't use any kind of grading system and we will just mark the assignments as either complete or incomplete. 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 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. **All dates below are tentative and subject to change.** | Chapter | Suggested Readings | Exercises | Live Session | Date/Time | Slides/Notebook | Recording | |------|-------|-------|------|-----|------|----| | Session 1 - Introduction to Deep Learning| Find readings [here](https://github.com/dair-ai/d2l-study-group/blob/master/readings/section-01.md) | Complete the list [here](https://github.com/dair-ai/d2l-study-group/blob/master/exercises/section-01.md) | [Zoom (requires registration)](https://us02web.zoom.us/meeting/register/tZwtduyuqjsiHNdD0NxIB2A-rSRhaoEjL9Nn), [YouTube Live](https://www.youtube.com/watch?v=xS3_b0BsSes&feature=youtu.be) | August 1, 2020, 15:00 - 17:00 CEST | [PDF](https://github.com/dair-ai/d2l-study-group/blob/master/slides/Session%201%20-%20Introduction%20to%20Deep%20Learning%20-%20Dive%20into%20Deep%20Learning%20Study%20Group.pdf) | [YouTube](https://www.youtube.com/watch?v=xS3_b0BsSes) | | Session 2 - Preliminaries| Find readings [here](https://github.com/dair-ai/d2l-study-group/blob/master/readings/section-02.md) | NA| [Zoom](https://us02web.zoom.us/j/84658372189?pwd=am9lY3pHVHhCRGVuSnJDZmVDUHVvQT09) (Check Slack group for password), [YouTube Live](https://youtu.be/RyNM1PdgFUQ) | August 15, 2020, 15:00 - 17:00 CEST | [Preliminaries](https://colab.research.google.com/drive/1a_1pTRPToTXMuLDxzEbdsGTws_AXOY4U?usp=sharing), [Hacking Guide to Neural Networks - Draft](https://colab.research.google.com/drive/1m0lNJ9n8LUXHHU4pOLrZZjSMjoeRKCrN?usp=sharing) | [YouTube](https://youtu.be/RyNM1PdgFUQ) | | Session 3 - Linear Neural Networks| Find suggested readings [here](https://github.c
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