Deep Learning Study Group
Summer 2023
Jun 21, 2023
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Aug 23, 2023
Application/Registration Deadlines
Jun 13, 2023
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Erdős members / alumni who have completed a prior Erdős Data Science Project
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Application/Registration Link
You are registered for this program.
Overview
Weekly group meetings about deep learning, using the first 10 chapters of the FastAI book as the foundation (http://course.fast.ai).
The course content will be self-taught -- participants will read the assigned chapter for the week before the group meeting. The meeting will be used to ask each other questions and to spark discussion about applications of deep learning in data science careers.
Instructional Team
Lindsay Warrenburg
Head of Technical Interview Prep @ Erdős
Office Hours:
as needed
Email:
Preferred Contact:
Slack
Feel free to Slack me with any questions!
Objectives
- Learn the basics of deep learning
- Understand how deep learning is used in industry
- Feel comfortable with deep learning code (PyTorch and FastAI)
Project Examples
First Steps/Prerequisites
Participants must have completed the data science bootcamp before taking this course.
Program Content
Welcome to the deep learning study group!
Please note that all of the lectures are based on the content in Jeremy Howard and Sylvain Gugger's fastai course (http://course.fast.ai) and corresponding fastai book (http://github.com/fastai/fastbook). The copyright of the fastai material is:
@book{
howard2020deep,
title={Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD},
author={Howard, J. and Gugger, S.},
isbn={9781492045526},
url={https://books.google.no/books?id=xd6LxgEACAAJ},
year={2020},
publisher={O'Reilly Media, Incorporated}
}
The 10 notebooks in the Erdős repo contain summaries I created of the fastai content in order to consolidate the material and serve as a good review.
Textbook/Notes
Project/Homework Instructions
Schedule
Click any date for more details
Please check your registration email for program schedule and zoom links.
Project/Homework Deadlines