I upvoted because I'm quite familiar with ML theory and like to read the latest tweaks, etc. but I've never used a tool like TensorFlow. Papers, blog posts, etc

I upvoted because I'm quite familiar with ML theory and like to read the latest tweaks, etc. but I've never used a tool like TensorFlow. Papers, blog posts, etc. usually give diagrams and/or fully-fledged code snippets. That's great for the high-level overview, and low-level nitty-gritty, respectively. Yet minimal code examples like this let me see straight away what TensorFlow programs look like, without having to distinguish between fundamental aspects and snippet-specific ones. My only remark would be to put a comment at the top something like "Fit a straight line, of the form y=m*x+b". I guessed that the "m" and "b" variables were referring to these common usages, but was wary of this assumption until line 14. For all I know, "m" and "b" could be common parameter names for some TensorFlow config or something :)