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Why all the deep learning give the machine everything by detail instead of make the machine think and solve by itself? Instead of identify everything why not making the deep learning of machine watching and recording and saving data depending to the rules we have in our daily life ?

For example if I want to identify the types of footwear for deep learning, I need to classify all the types of footwear to let the machine understand it. Instead of give it a method to help it to understand just because it is use in feet that mean it’s footwear. Like we are teaching a new baby just give the basics and let him think about the things.

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    $\begingroup$ Hi and welcome to AI Stack Exchange. Sorry your question is not clear. Probably this is because you do not know the technical terms for different kinds of decision making that you want to compare. I understand that you think there may be a simpler/better way to train classifiers than you are reading about. Perhaps a more concrete example of the two approaches you want to compare with more details would help. Give us an imaginary task (deciding whether an image is of a cat or a dog perhaps?), and explain how you think deep learning currently approaches the task and how your idea is different. $\endgroup$ – Neil Slater Jul 22 at 16:39
  • $\begingroup$ I would first thank you to answer me , but the idea in my brain for example if i want to identify the types of feet wear for the deep learning i need to classify all the types of feet wear to let the machine understand it instead of give it an method to help it to understand just because it is use in feet that mean it’s feet wear it’s not that’s sample i hope i delivered my idea like we are teaching a new baby just give the basics and let him think about the things $\endgroup$ – Nader Khalil Jul 22 at 17:12

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