Oh boy. I'm the second author. The official announcement will be in April 1st at the SIGBOVIK conference (<a href="http://sigbovik.org/2016" rel="nofollow">http://sigbovik.org/2016</a>), but I guess someone broke the press embargo!<p>By the way: It works, try it ;)
Haven't tried the actual file yet, but the idea sounds interesting.<p>Not sure how academic papers are written normally, but do such papers normally refer to open source licenses as "Commie"? And does anyone know what the paper/project was created for?
For those who don't know: this is a satirical post.<p>It's kind of funny, I guess.<p>But I didn't assume it was a farce. I was genuinely excited to see the implementation, because there is something unique about the transparency and interaction you can have with an excel workbook. It's almost like a GUI for a lisp REPL. Even if I am too dumb to understand the actual c code, I can see the relevant numbers being crunched, how they relate, and more.<p>So... "good one. you got me."<p>But even as I sit here as the butt of the joke, I find myself wishing your link had been sincere.
Would people who understand deep learning enough to apply it properly every use Excel?<p>Every time I've used Excel for a complex problem I've regretted it. Even simple things like joins using VLOOKUPs are incredibly clunky and error prone.
This was funny, but honestly, I'm kind of surprised that people haven't designed spreadsheet apps for data science needs (as far as I know, at least).
Don't want to be an asshole but it really can't be called Deep Learning if it doesn't do backprob. Deep inference, at best.
The paper reads like a bad joke.