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Deep Learning Boot Camp

Spring 2024

Feb 2, 2024

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May 3, 2024

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Registration Deadlines

May 4, 2024

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Erdős members / alumni who have completed a prior Erdős Data Science Project

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Category

Advance, Supplemental, Self-Directed, Mini-Course

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 submit a (team-based) final project by **May 03, 2024**.

Slack

#slack-channel

Organizers, Instructors, and Advisors

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Lindsay Warrenburg

Lead Instructor

Office Hours:

as needed

Email:

Preferred Contact:

Slack

Participants should feel free to Slack me with any questions or comments!

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.
First Steps

Program Content

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Program Content

Textbook/Notes

Orientation

Introduction

Lindsay Warrenburg introduces the structure of this advanced Deep Learning Course.

Transcript
Code

Project/Homework Instructions

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Project/Team Formation
Project Submission
Projects README

Schedule

Click on any date for more details

Deep Learning Orientation

Feb 2, 2024 at 05:00 PM UTC

EVENT

Aware Corporate Challenge Introduction

Mar 1, 2024 at 08:00 PM UTC

EVENT

Please check your registration email for program schedule and zoom links.

Project/Homework Deadlines

Feb 2, 2024

10:00 PM UTC

Deep Learning Registration Form

This is used to gain access to Slack / Github and to help find teams in similar time zones

Feb 9, 2024

02:34 PM UTC

Deep Learning Group Formation

This is your study group team and your project team

May 3, 2024

09:00 PM UTC

Deep Learning Final Project Due

Click on this box to submit project

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