Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

• Classes and methods are written in a monospaced font, and they link to PyTorch
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documentation the first time they are introduced, so you can easily follow it
(unlike other links in this book, links to documentation are numerous and thus
not included in the footnotes)
• Every code cell is followed by another cell showing the corresponding outputs
(if any)
• All code presented in the book is available at its official repository on GitHub:
https://github.com/dvgodoy/PyTorchStepByStep
Code cells with titles are an important piece of the workflow:
Title Goes Here
1 # Whatever is being done here is going to impact OTHER code
2 # cells. Besides, most cells have COMMENTS explaining what
3 # is happening
4 x = [1., 2., 3.]
5 print(x)
If there is any output to the code cell, titled or not, there will be another code cell
depicting the corresponding output so you can check if you successfully
reproduced it or not.
Output
[1.0, 2.0, 3.0]
Some code cells do not have titles—running them does not affect the workflow:
# Those cells illustrate HOW TO CODE something, but they are
# NOT part of the main workflow
dummy = ['a', 'b', 'c']
print(dummy[::-1])
But even these cells have their outputs shown!
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