Deep learning beginner to expert: techniques from Fast.ai(blog.floydhub.com)
blog.floydhub.com
Deep learning beginner to expert: techniques from Fast.ai
https://blog.floydhub.com/ten-techniques-from-fast-ai/
10 comments
I think the author meant multi-label.
Exactly. I’m pretty confused about the excerpt, it struck me as strange as soon as I read it - maybe it’s a typo?
I think the author meant sigmoid.
Nice, but doesn't do the Fast.ai course justice. All of the 10 things mentioned are shown in the first 3 / 14 lessons.
Fast.ai + Floydhub is something I’d be really interested in... but this appears to just be about the former?
Are you referring to using fast.ai library on FloydHub for you own project or going through the fast.ai course notebooks?
The former, mostly.
AFAIK softmax should be used with mutli-class classification and sigmoid can be used with mutli-label classification.