Last year’s version of the course started with the Dogs vs. Cats notebook. V3 starts with a notebook that pits multiple cat breeds against multiple dog breeds. Instead of separating the data out into discrete folders, representing classes, the file name structure includes both information on the meta-class (species), as well as the sub-class (breed).
Also apparent from Lesson 1, is that great pains have been taken to make referencing and interacting with the library’s documentation, significantly simpler. Those who took earlier versions of the course will likely remember using Shift+Tab to access information about the method in question.
V3 features the additional resources of help() and doc() methods. The help(<function_name>) method displaying the method in question’s docstring and the doc(<function_name>) producing a link, inside of Jupyter Notebook, to the documentation for that function. And get this, the documentation for V3 has all been written inside of Jupyter Notebook!
If you’d like to check out the code for V3, you can clone the git repo here. If you’d like to start coding as fast as possible, in a working environment, then you might want to check out Salamander.ai. To stay abreast of all V3 updates check out our Fast.ai Live post.