Deep learning beginner to expert: techniques from Fast.ai

https://blog.floydhub.com/ten-techniques-from-fast-ai/

by saip • 8 years ago

114 10 8 years ago

blog.floydhub.com

kwrobel• 8 years ago

"As Jeremy Howard points out, even academic papers often use softmax for multi-class classification, and I too have already seen it used incorrectly in blogs and papers during my short time studying DL."

AFAIK softmax should be used with mutli-class classification and sigmoid can be used with mutli-label classification.

king_magic• 8 years ago

Exactly. I’m pretty confused about the excerpt, it struck me as strange as soon as I read it - maybe it’s a typo?

nafizh• 8 years ago

I think the author meant sigmoid.

qiemem• 8 years ago

I think the author meant multi-label.

dangom• 8 years ago

Nice, but doesn't do the Fast.ai course justice. All of the 10 things mentioned are shown in the first 3 / 14 lessons.

harveynick2• 8 years ago

Fast.ai + Floydhub is something I’d be really interested in... but this appears to just be about the former?

houqp2• 8 years ago

Are you referring to using fast.ai library on FloydHub for you own project or going through the fast.ai course notebooks?

harveynick2• 8 years ago

The former, mostly.

l9k• 8 years ago

Is the page only blurry to me?

houqp2• 8 years ago

Were you on your phone when visiting the page?

Deep learning beginner to expert: techniques from Fast.ai

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