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Quote of the day

When seen through the lens of technology, few resources are truly scarce; they’re mainly inaccessible. 

 

Peter Diamandis

Deep neural networks that identify shapes nearly as well as humans

RATE THIS! +42
Posted in Science on 3rd May, 2016 03:38 PM by AlexMuller

The researchers found that when trained for generic object recognition from natural photographs, several different DNNs developed visual representations that relate closely to human perceptual shape judgments, even though they were never explicitly trained for shape processing.

 

Deep neural networks are capable of learning to identify shapes, so “we’re on the right track in developing machines with a visual system and vocabulary as flexible and versatile as ours,” say KU Leuven researchers.

 
“For the first time, a dramatic increase in performance has been observed on object and scene categorization tasks, quickly reaching performance levels rivaling humans,” they note in an open-access paper in PLOS Computational Biology.
 
However, “We’re not there just yet,” say the researchers. “Even if machines will at some point be equipped with a visual system as powerful as ours, self-driving cars would still make occasional mistakes, although, unlike human drivers, they wouldn’t be distracted because they’re tired or busy texting. However, even in those rare instances when self-driving cars would err, their decisions would be at least as reasonable as ours.”

Tags: deep learningAImachine learningneural networksoftwarecomputer vision

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Comments

Author: Guest
Posted: 2016-05-04
+1
Deep neural networks are becoming more prominent in computing and their ability to learn opens up new possibilities - shape recognition is a great example Reply


 

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