Deep Learning Boot Camp
Asynchronous
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Registration Deadlines
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Erdős members / alumni who have completed a prior Erdős Data Science Project
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Registration Link
You are registered for this program.
Overview
This is a self-paced deep learning boot camp, using the FastAI book as the foundation (http://course.fast.ai). It is suggested you take 12-15 weeks to go through the material. If possible, you should meet with others to have a weekly discussion group on the material.
In order to receive a deep learning certificate, you must subject a (team-based) final project by **April 15, 2024**.
Instructional Team
Lindsay Warrenburg
Head of Technical Interview Prep @ Erdős
Office Hours:
as needed
Email:
Preferred Contact:
Slack
Objectives
- Learn the basics of deep learning
- Understand how deep learning is used in industry
- Feel comfortable with deep learning code (PyTorch and FastAI)
First Steps/Prerequisites
Participants must have completed the data science bootcamp before taking this course.
Slack Channel: #slack-channel
Program Content
Welcome to the asynchronous deep learning bootcamp!
This course is asynchronous, so there are no set meeting times for lectures. The way the course will work is the following:
1. You will read through the corresponding fastai chapters (http://github.com/fastai/fastbook) for a particular lesson on your own.
2. You are encouraged to form your own group to have weekly discussions based on the assigned readings (see the calendar link below). Those meetings will be used to ask each other questions and to spark discussion about applications of deep learning in data science careers.
3. You will form teams to create a final deep learning project, which will be **due on April 15, 2024**. You must submit a final project to receive a deep learning certificate.
Please note that all of the materials in this course 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 notebooks in the Erdős GitHub 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 on any date for more details
Please check your registration email for program schedule and zoom links.
Project/Homework Deadlines
Apr 15, 2024
9:00 PM
Final Project Due
Deep Learning