Editing 2173: Trained a Neural Net

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This is another one of [[Randall|Randall's]] [[:Category:Tips|Tips]], this time an Engineering Tip.
 
This is another one of [[Randall|Randall's]] [[:Category:Tips|Tips]], this time an Engineering Tip.
  
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An {{w|artificial neural network}}, also known as a neural net, is a computing system inspired by a human brain, which "learns" by considering lots and lots of examples to develop patterns. For example, these are used in image recognition - by analyzing thousands or millions of examples, the system is able to identify particular objects. Neural networks typically function with no prior knowledge, and are "trained" by feeding in examples of the thing that they are told to analyze.
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An {{w|artificial neural network}}, or a neural net, is a computing system inspired by a human brain, which "learns" by considering lots and lots of examples to develop patterns. For example, these are used in image recognition - by analyzing thousands or millions of examples, the system is able to identify particular objects. Neural networks typically function with no prior knowledge, and are "trained" by feeding in examples of the thing that they are told to analyze.
  
 
Here, [[Cueball]] is telling [[White Hat]] how he trained a neural net to sort photos into categories. The joke in the comic, is the engineering tip from the caption. It states that since a human brain is already a neural network, albeit a biological one instead of an artificial one, then by teaching oneself (or others) to do a task, you are ''de facto'' training a neural network to do so. So instead of designing and training an artificial neural net that could do this task, all Cueball did was manually sort the photos into categories (although he could then use those sorted images to train an artificial neural network).
 
Here, [[Cueball]] is telling [[White Hat]] how he trained a neural net to sort photos into categories. The joke in the comic, is the engineering tip from the caption. It states that since a human brain is already a neural network, albeit a biological one instead of an artificial one, then by teaching oneself (or others) to do a task, you are ''de facto'' training a neural network to do so. So instead of designing and training an artificial neural net that could do this task, all Cueball did was manually sort the photos into categories (although he could then use those sorted images to train an artificial neural network).

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