Mercurial > pylearn
annotate 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 |
| rev | line source |
|---|---|
| 121 | 1 |
| 2 from mlp import * | |
| 133 | 3 import dataset |
| 121 | 4 |
| 5 def test0(): | |
| 133 | 6 nnet = OneHiddenLayerNNetClassifier(10,3,.1,1000) |
| 7 training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0], | |
| 8 [0, 1, 1], | |
| 9 [1, 0, 1], | |
| 10 [1, 1, 1]]), | |
| 11 {'input':slice(2),'target':2}) | |
| 12 fprop=nnet(training_set) | |
| 121 | 13 |
| 133 | 14 print fprop(training_set) |
| 121 | 15 |
| 16 test0() | |
| 17 |