# Neural Networks

### From Ufldl

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We have so far focused on one example neural network, but one can also build neural | We have so far focused on one example neural network, but one can also build neural | ||

- | networks with other | + | networks with other '''architectures''' (meaning patterns of connectivity between neurons), including ones with multiple hidden layers. |

- | architectures | + | |

The most common choice is a <math>\textstyle n_l</math>-layered network | The most common choice is a <math>\textstyle n_l</math>-layered network | ||

where layer <math>\textstyle 1</math> is the input layer, layer <math>\textstyle n_l</math> is the output layer, and each | where layer <math>\textstyle 1</math> is the input layer, layer <math>\textstyle n_l</math> is the output layer, and each |