Relying on birth control pills and other primarily woman-oriented techniques leaves 100% of the downsides to the woman (from health risks to emotional challenges and beyond). Comparatively, a condom has barely any downside for anyone involved.
If it doesn't count for prevailing wage, does it count for the evaluation of the compensation distribution in the first place (genuine question, I'd assume no for consistency of measurement but yes if e.g. W2-reported compensation is used as reference)?
As far as I understand there is no quick magic algorithm to find them: you train the full architecture as usual the long and hard way, then you identify the right subnetwork and you can retrain faster from the architecture and initialization of just this subnetwork
I can totally relate :) The hackery you had to do to have the whole stack work was significant and helped a lot grow sysadmin skills for me, and to build fresh versions and hack up new plugins was a great motivation to learn to code in a team-oriented setting.
Hasn't Ubuntu switched back to Gnome recently?
Since ~2009 most of the effort was Canonical-sponsored. The C++ rewrite was quite a dealbreaker in the flow of the project (which was originally written in C). The time it took to get the rewrite up and running and the language switch had a great toll on the motivation of the contributors.
> Most Japanese Tweets are 15 characters while most English Tweets are 34
Doesn't the graph shows that most English tweets are 140 characters instead? The first peak on the English curve is indeed on 34 characters, but it's lower than the 140 peak.
This is actually what I'd expect, but the website feels quite misleading. Advertising that a GPU-based approach can outbeat a CPU for neural nets is not a very strong commercial claim :)
1) as I mentioned elsewhere, the explicit coaching happens when you submit a photo that Keegan think is bad (say score < 5).
2) Mostly true, except that it's surprisingly good at capturing the notion of good timing, which I did not expect from ML ^^
3) well, as for the Mick Jagger picture, I can see why Keegan dislikes it: it's simply not that good technically. What makes it great is that it's Mick Jagger and that he has a very deep sight (imho), which the model indeed does not capture. For the other picture, yeah, the score is not that good, but the comment is spot on (in my humble and very biased opinion) :p
Thanks for the feedback, and yeah, definitely needs more love before it's a perfect predictor! Nicely enough, classification tasks with tons of supervision still make a lot of errors too ^^ (http://pbs.twimg.com/media/CdOxQRbWAAEUZM6.jpg)
I'm! You can get in touch with us at hello /at/ regaind.io
You can have a look at your webpage for all that we do (https://regaind.io), but yeah, automatic improvement is on the list of potential things we would like to do :)
Yeah it's super harsh with street signs or that kind of large text on pictures. The protection is there to avoid saying really silly stuff on utilities bills and other kinds of paperwork. I'll add this example to the ones we should accept.
Well these are mostly intended, but are kind of leftover of the phase where we had no user authentication implemented. You can still delete pictures from your profile (https://keegan.regaind.io/profile), that will remove them from Hall of Fame as well.
Your ribbon shows there by the way! (ribbons are implemented as one time events which depend on your user status, and are not stored alongside the picture. maybe we could fix that)
Thanks for the report tho, I'll see what we can do for reenabling the hall of fame button after the first show!
Well, the composition is not bad, the colors are more than decent. There's no bad motion blur, the main subject is clear (albeit gross). The score seems decent for that.
Actually, the score scaling is a very tough subject for a public thing. We received some comments saying that Keegan is wayy too harsh, it seems people expect their everyday picture to score 7-8 (we've been told it'd be a big problem in the US especially, I can't judge on that as not living there tho :/), while we feel that Keegan s generally a bit too generous for Europe standards.
This is indeed a "fun" project which showcases the technology and provides (I think) fairly relevant comments (trust me - a random generator is much worse, we had terrible comments at the beginning of the project).
The other technology modules you describe (face recognition etc) are indeed requirements for a semi or fully automated curation system.
