# hula.DeepR.Net

`import hula.DeepR.Net` 

`from hula.DeepR import Net`

## Net( *\*layers* )

Initializes a `Net` object with the child layers provided

##

#### Net.activate( *X*  )

Feeds input `X` through each child layer and returns the output

#### Net.randomAct( *alpha* )

Calls to each child layer's `randomAct(alpha)` method

#### Net.score( *score* )

Calls to each child layer's `score(score)` method

#### Net.train( *alpha* )

Calls to each child layer's `train(alpha)` method\\

#### Net.simplify( *threshold*,   *min\_score* )

Calls to each child layer's `simplify(threshold, min_score)` method