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第103行： − {{See also|Graphical models}} −
→作为函数的神经网络（Neural networks as functions）
===作为函数的神经网络（Neural networks as functions）===
===作为函数的神经网络（Neural networks as functions）===
Neural network models can be viewed as simple mathematical models defining a function <math>\textstyle f : X \rightarrow Y </math> or a distribution over <math>\textstyle X</math> or both <math>\textstyle X</math> and <math>\textstyle Y</math>. Sometimes models are intimately associated with a particular learning rule. A common use of the phrase "ANN model" is really the definition of a ''class'' of such functions (where members of the class are obtained by varying parameters, connection weights, or specifics of the architecture such as the number of neurons or their connectivity).
Neural network models can be viewed as simple mathematical models defining a function <math>\textstyle f : X \rightarrow Y </math> or a distribution over <math>\textstyle X</math> or both <math>\textstyle X</math> and <math>\textstyle Y</math>. Sometimes models are intimately associated with a particular learning rule. A common use of the phrase "ANN model" is really the definition of a ''class'' of such functions (where members of the class are obtained by varying parameters, connection weights, or specifics of the architecture such as the number of neurons or their connectivity).