You understood my phrase too literally. In a case of features that couldn't be detected by man, the principle is interpreted as follows: the neural network is able to recognize only a blurred images. For example: they are not able to understand whether the object at a given point, but only to understand in what area they are in. Features are blurred.
My research is devoted to pattern recognition and image classification
@krishtopa Ok well I legit believe you are interested in the topic and I'm hoping I can chalk what you're saying up to a language barrier and not to the fact that this is what they are teaching in University now days.
If you are legitimately interested in this topic and have some reference knowledge to draw upon, a really good resource is @dana-edwards her stuff is just incredible if you already grasp the basics.
If you'd like a more hands on approach I invite you to come over to STEEMBOTS
https://steemit.com/introduceyourself/@williambanks/announce-steembots-com-your-source-for-everything-bot-related-now-hiring
Thanks!
p.s. Your eye color changed in a couple of pics and there is one where you left the watermark on.
Pretty cool. I've studied some machine learning topics, but nothing as in-depth as you apparently. I look forward to your future posts on machine learning as it's a topic I'm interested in too. Thanks.