---
description: hula/DeepR.py
---

# hula.DeepR.Net

`import hula.DeepR.Net`&#x20;

`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







