hula.DeepR.Net
hula/DeepR.py
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
Last updated
Was this helpful?