Difference between revisions of "Neural Network Weight Matrix"

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A [[Neural Network Weight Matrix]] is a [[Matrix]] composed by all the [[Neural Network Weight]] between two [[Neural Network Layer]]s.
 
A [[Neural Network Weight Matrix]] is a [[Matrix]] composed by all the [[Neural Network Weight]] between two [[Neural Network Layer]]s.
* <B>AKA:</B> [[Artificial Neural Network Weight Matrix]].
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* <B>AKA:</B? [[Artificial Neural Network Weight Matrix]].
* <B>Counter-Example(s):</B>
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* <B>Counter-Example(s):<B>
 
** a [[Neural Network Depth]],
 
** a [[Neural Network Depth]],
 
** a [[Artificial Neural Network Input Vector]],
 
** a [[Artificial Neural Network Input Vector]],
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== References ==
 
== References ==
  
=== 1998 ===
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=== 1998 ==
 
* (Wilson,1998) ⇒ Bill Wilson, (1998 - 2012). [http://www.cse.unsw.edu.au/~billw/mldict.html#weight "Weight"] in [http://www.cse.unsw.edu.au/~billw/mldict.html "The Machine Learning Dictionary"].
 
* (Wilson,1998) ⇒ Bill Wilson, (1998 - 2012). [http://www.cse.unsw.edu.au/~billw/mldict.html#weight "Weight"] in [http://www.cse.unsw.edu.au/~billw/mldict.html "The Machine Learning Dictionary"].
** QUOTE: '''weight:''' A [[NN Weight|weight]], in a [[artificial neural network]], is a [[parameter]] associated with a [[NN Conection|connection]] from one [[neuron]], M, to another [[neuron]] N. It corresponds to a [[synapse]] in a [[biological neuron]], and it determines how much notice the [[neuron]] N pays to the [[ANN Activation Function|activation]] it receives from [[neuron]] N. If the [[NN Weight|weight]] is positive, the [[NN Connection|connection]] is called [[NN Excitatory Connection|excitatory]], while if the [[NN Weight|weight]] is negative, the [[NN Connection|connection]] is called [[NN Inhibitory Connection|inhibitory]]. See also to a [[Artificial Neuron|neuron]].
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* QUOTE: '''weight:''' A [NN Weight|weight]], in a [[artificial neural network]], is a [[parameter]] associated with a [[NN Conection|connection]] from one [[neuron]], M, to anther [[neuron]] N. It corresponds to a [[synapse]] in a [[biological neuron]], and it determines how much notice the [[neuron]] N pays to the [[ANN Activation Function|activation]] it receives from [[neuron]] N. If the [[NN Weight|weight]] is positive, the [[NN Connection|connection]] is caled [[NN Excitatory Connection|excitatory]], while if the [[NN Weight|weight]] is negative, the [[NN Connection|connection]] is claled [[NN Inhibitory Connection|inhibitory]]. See also to a [[Artificial Neuron|neuron]].
  
 
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[[Category:Concept]] [[Category:Machine Learning]]
 
[[Category:Concept]] [[Category:Machine Learning]]

Revision as of 16:54, 15 August 2019

A Neural Network Weight Matrix is a Matrix composed by all the Neural Network Weight between two Neural Network Layers.



References

= 1998