alvinsheng/slg-deep-learning

SLG-Deep-Learning

Originally the Statistical Learning Group (SLG) was created to fill a gap in advanced statistical areas of interest not typically covered in coursework, and we intend to continue this mission. We propose to form a reading group of graduate and highly motivated undergraduate students to learn more about Deep Learning, and where possible, connect statistical ideas. To accomplish this we will select a text (or a few texts) to read from, and answer directed questions, which we will discuss in our meetings. In an effort to better facilitate learning when the group meets one member will give a low-stakes presentation on the topic from the reading; this presentation can be thought of as a short 5-minute lightning talk.

Spring 2020

Reading Deep Learning With R by Chollet and Allaire

• This book utilizes the Keras package
• Another book you may find useful is Deep Learning by Goodfellow, Bengio, and Courville

Meetings roughly every other Thursday 12pm-1 in SAS 1105. General structure:

• Chapter Review / Presentation (Lightning talk) ~ 5 Minutes
• Discussion Questions ~ 20 - 30 Minutes
• Kaggle | Presentation | News Article/ Paper ~ 20 - 30 Minutes

Rough schedule:

Date	Topic	Lightning-Talk Presenter(s) & Links
Jan 9th	Introduction, Intro to R/GitHub
Jan 16th	Chapters 1 & 2	David E. & Peter N.
Jan 30th	Chapter 3 & Applied Project	Cameron E. & Dale G.
Feb 13th	Chapter 4	Antonio J.
Feb 27th	Chapter 5	Deepak K.
Mar 19th	Computer Vision Project
Apr 2nd	Chapter 6
Apr 16th	Natural Language Processing Project

Instructions for Updating Question Files

1. Fork AlvinSheng/SLG-Deep-Learning

• You only have to do this once ever!

2. Edit the question document
3. Commit to your branch

• If editing in rstudio use the following
  1. git add -A
  2. git commit --m "Your message here"
  3. git push

4. Submit a pull request