I was inspired to create it while taking the Fast.ai course and seeing Jeremy Howard share  how a "complicated" Frobenius norm equation could be implemented in a single line of Python.
It's open source here: https://github.com/vthommeret/mathtocode
I would appreciate any and all feedback!
> It's time to start reading papers. And papers look something like this, which if you're anything like me, that's terrifying. And I'm not going to lie, it's still the case when I start looking at a new paper, every single time, I think, I'm not smart enough to understand this. I just can't get past that immediate reaction. So I just look at this stuff and I go, that's not something I understand.
> But then I remember, this is the Adam paper and you've all seen Adam implemented in one cell of Microsoft Excel.
> 1. Even familiar stuff looks complex in a paper!
> 2. Papers are important for deep learning beyond the basics, but hard to read.
> 3. Learn to pronounce Greek letters.
Any chance for a license like MIT?
NotImplementedError: the 'axis' parameter is currently not supported on line 7
I used variations of:
It's been a long time since I've taken linear algebra, so I don't remember some of these operations.
So it should look something like this: `np.sqrt((m * * 2).sum())`
Re: The error message, it looks like it's occurring because `sum` doesn't normally take any parameters and interprets the argument as an "axis" parameter — https://numpy.org/doc/1.18/reference/generated/numpy.sum.htm...
Order of operations is tricky and I could do a better job breaking it down. Still plan to add the Show Solution button but need to get some sleep :-).
In the meantime you can see all the possible solutions in the repo! https://github.com/vthommeret/mathtocode/tree/master/questio...
 Remove the space between the asterisks / I had to add it since HN interprets them as italics.
It's fairly outdated (5-years old) and doesn't implement some of the functions I wanted to use (like equality), but otherwise works pretty well.