STYLE_GUIDE.md

STYLE GUIDE

Nhìn chung

• Rõ ràng, trôi chảy, thực tế, và nhất quán
• Be clear, engaging, pragmatic, and consistent

Text

• Chapters and Sections
  • Provide an overview at the beginning of each chapter
  • Be consistent in the structure of each section
    • Summary
    • Exercises
    • References (if any)
• Quotes
  • Use double quotes
• Symbol Descriptions
  • time step t（not t time step）
• Tools, Class, and Functions
  • Gluon, MXNet, NumPy, spaCy, NDArray, Symbol, Block, HybridBlock, ResNet-18, Fashion-MNIST, matplotlib
    • Consider these as words without accents (``)
  • Sequential class/instance, HybridSequential class/instance
    • Without accents (``)
  • backwardfunction
    • not backward() function
  • for loop
• Terminologies
  • Consistently use
    • function (not method)
    • instance (not object)
    • weight, bias, label
    • model training, model prediction (model inference)
    • training/testing/validation data set
  • Distinguish：
    • hyperparameter vs parameter
    • mini-batch stochastic gradient descent vs stochastic gradient descent
  • List
    • https://github.com/aivivn/d2l-vn/blob/master/glossary.md

Math

• Be consistent in math format
  • https://github.com/goodfeli/dlbook_notation/blob/master/notation_example.pdf
• Reference
  • the equation above/below (Equation numbering is to be consolidated by the Press)
  • the N equations above/below
• Place punctuations within equations if necessary
  • e.g., comma and period
• Assignment sumbol
  • \leftarrow

Figure

• Software
  • Use OmniGraffle to make figures.
    • Export pdf (infinite canvas) in 100%, then use pdf2svg to convert to svg
      • ls | while read f; do pdf2svg $f ${f%.pdf}.svg; done
    • Do not export svg directly from Omnigraffle (font size may slightly change)
• Style
  • Size：
    • Horizontal：<= 400 pixels (limited by page width)
    • Vertical：<= 200 pixels (exceptions may be made)
  • Thickness：
    • StickArrow
    • 1pt
    • arrow head size: 50%
  • Font：
    • Arial, 9pt（subscripts：7pt）
  • Color：
    • Blue as background (text is black)
      • Dark：66BFFF
      • Light：B2D9FF
• Be careful about copyright
• Reference
  • e.g., Figure 7.1 (manually)
• matplotlib

Code

• Each line must have <=80 characters (limited by page width)
• Use utils.py to encapsulate classes/functions that are repetitively used
  • Give full implementation when it is used for the first time
• Python
  • PEP8
    • e.g., (https://www.python.org/dev/peps/pep-0008/#should-a-line-break-before-or-after-a-binary-operator)
• To save space, put several assignments on the same line
  • e.g, num_epochs, lr = 5, 0.1
• Be consistent in variable names
  • num_epochs
    • number of epochs
  • num_hiddens
    • number of hidden units
  • num_inputs
    • number of inputs
  • num_outputs
    • number of outputs
  • net
    • model
  • lr
    • learning rate
  • acc
    • accuracy
  • During iterations
    • features：X
    • labels：y, y_hat or Y, Y_hat
    • for X, y in data_iter
  • Data sets：
    • features：features or images
    • labels：labels
    • DataLoader instance：train_iter, test_iter, data_iter
• Comments
  • Add period at the end of comments.
• imports
  • import alphabetically
  • from mxnet.gluon import data as gdata, loss as gloss, nn, utils as gutils
• Print outputs
  • epoch, lr, loss, train acc, time
  • Around 5 lines
• Print variables
  • if possible use x, y instead of print('x:', x, 'y:', y) at the end of the code block
• String
  • Use single quotes
• Other items
  • nd.f(x) → x.nd
  • random_normal → random.normal
  • multiple imports
  • .1 → 1.0
  • 1. → 1.0
  • remove namescope

Hyperlinks

• Internal hyperlinks
  • In the “Linear Regression” section
• External hyperlinks
  • Layer

References

• Append references at the end of each section
  • Google Scholar: APA format
  • All references are to be consolidated by the Press