Mercurial > pylearn
view test_mlp.py @ 133:b4657441dd65
Corrected typos
author | Yoshua Bengio <bengioy@iro.umontreal.ca> |
---|---|
date | Fri, 09 May 2008 13:38:54 -0400 |
parents | 2ca8dccba270 |
children | 0d8e721cc63c |
line wrap: on
line source
from mlp import * import dataset def test0(): nnet = OneHiddenLayerNNetClassifier(10,3,.1,1000) training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0], [0, 1, 1], [1, 0, 1], [1, 1, 1]]), {'input':slice(2),'target':2}) fprop=nnet(training_set) print fprop(training_set) test0()