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CONTRIBUTING.md

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Introduction to Deep Learning

This repository contains the slides for the "Introduction to deep learning" course. See also the moodle page.

Contributing

We are happy about new contributors. If you contribute something, please feel free to add your name to the team.

Git-Workflow

  • Access to the master branch is protected, please make your own, issue-/task-specific branch off the master branch to work in and do a pull request once you're done.
  • Do many small, focused, single-issue commits with descriptive commit messages: each commit message should refer the issue it adresses or fixes, i.e. include something like adresses #<issuenumber>, closes #<issuenumber> or similar, where applicable.
  • We generally work based on the feature branch workflow
  • The person who merges the pull requests adds a note to the changelog if the changes are substantial

Slides

  • Do not update the pdf-files of the slides-pdf folder. They will only be updated in case of a new release.

  • Notation on the slides uses latex-math. Please do read the accompanying ReadMe and clone latex-math into this repo (otherwise you will not be able to render the slides).

  • Use the commands defined there, don't define your own.

  • If you have to introduce new notation/symbols you should add it to latex-math, after doublechecking that

    • it is consistent with what we already have
    • you do not overwrite symbols we have already defined differently

  • We write slides for beginners: keep it simple, keep it short

  • We try to keep slides modular: slidesets should represent about 15-20 minutes of material and be moderately self-contained.

  • Don't put code on the slides, the theory is orthogonal to issues of implementation (... in theory..). Code is strictly for exercises/ practice sessions.

  • Compiling the slides should be done via the Makefile: just type make in the specific folder and it will render all slidesets in the folder, or make <SLIDES>.pdf to render a specific file <SLIDES>.tex.

  • We try to keep a "dependency graph" between slide sets up to date so that it's easier to keep track of what material needs to be understood before what else. Please do add appropriate %! includes:-comments in your slides to keep this up-to-date, see also attic/slide-dependencies.R and slides/slide-dependencies.pdf.

  • We recommend usage of {tinytex} (install via tinytex::install_tinytex())

  • Use make install in the slides folder to automagically install all the R packages you'll need for the slides, demos and exercises. See also attic/install.R

Figures Used in the Slides

  • Figures not produced by us are added to the figure-man folder of the respective chapter
  • R-files which produce figures should be named fig-*.R
    • The basic assumption is that you execute the R-files from the rsrc folder
    • These figure producing R-files should save their respective figures to ../figure/. From the name of the figure it should be clear which R-file produced it.
    • If you create a new plot or change an existing plot, you need to commit your changes of the r-files as well as the corresponding pdf-files. This means in if you create a new plot, you will have to add the pdf-files with git add -f *.pdf since pdf-files are ignored in this repo by default.
    • Utility functions used by more than one R-file should be exported to a separate R-file (also located in the respective rsrc folder)
    • Heavy simulations should not be done in the figures producing R-files. Instead, we only load Rdata files which were produced by separate R-files (also located in the rsrc folder)

Code Snippets

  • Please follow this style guide
  • We write code that is meant to be read/worked on by beginners:
    • simple and legible is better than complex and elegant
    • add a lot of explanatory comments
    • use base-R as much as possible
    • choose variable names and code designs to maximize legibility and comprehension

Code Demos

now in /code-demos. Originals at this link

Google Figures

Google Figures are stored in the G-Drive

Creating Lecture Videos

  • Video files should have the same name as the slide set they are narrating.
  • Our videos show the lecturer's head in the bottom right corner
  • Make sure you minimize background noise, have good lighting and do remember to switch off your phone and to sedate or expell your pets / spouses / flatmates / office co-inhabitants for distraction-free recording.
  • Make sure you record in a resolution that's high enough to easily read the slides (at least 1280 x 760, higher is better).
  • We have excellent USB-Microphones to borrow in Bernd's office
  • Many possible workflows, Fabian uses :
    • mpv /dev/video0 --framedrop=no --speed=1.01 --window-scale=0.35 --no-border --ontop for a borderless, low latency webcam window and kazam for screen capture.
    • In kazam, don't forget to
      • set preferences to "USB microphone" & set loudness fairly high
      • set the frame rate to 30

Number of slides and length of videos

The number of slides and length of videos can be found here and should be updated regularly (i.e. if a new video is published)

Website

The website is updated whenever the master branch is pushed, via the Github action Pkgdown. The website uses pkgdown via _pkgdown.yml, its pages are in \vignettes. The automatic deployment uses a "secret" (see repository settings on Github), which is a PAT called DEPLOY_PAT (created by Fabian Scheipl, Jan 30 2020).