Hidden layer: Difference between revisions

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<div class="definition"><div class="short_definition">In artificial neural networks, a layer of nodes between the [[input]] and [[output]] layers  that contains the weights and processes data.</div><br/> <div class="paragraph">The values within the hidden layer are constantly adjusted during the training of the [[neural  network]], until the desired output is reached.</div><br/> </div>
<div class="definition"><div class="short_definition">In artificial neural networks, a layer of nodes between the [[input]] and [[output]] layers  that contains the weights and processes data.</div><br/> <div class="paragraph">The values within the hidden layer are constantly adjusted during the training of the [[neural network|neural  network]], until the desired output is reached.</div><br/> </div>
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Latest revision as of 16:08, 25 April 2012



hidden layer

In artificial neural networks, a layer of nodes between the input and output layers that contains the weights and processes data.

The values within the hidden layer are constantly adjusted during the training of the neural network, until the desired output is reached.


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