Mercurial > pylearn
comparison test_mlp.py @ 180:2698c0feeb54
mlp seems to work!
author | Yoshua Bengio <bengioy@iro.umontreal.ca> |
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date | Tue, 13 May 2008 15:35:43 -0400 |
parents | 0d8e721cc63c |
children | 25d0a0c713da |
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179:9911d2cc3c01 | 180:2698c0feeb54 |
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1 | 1 |
2 from mlp import * | 2 from mlp import * |
3 import dataset | 3 import dataset |
4 | 4 |
5 def test0(): | 5 def test0(): |
6 nnet = OneHiddenLayerNNetClassifier(10,3,.1,1000) | 6 nnet = OneHiddenLayerNNetClassifier(10,2,.001,1000) |
7 training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0], | 7 training_set = dataset.ArrayDataSet(numpy.array([[0, 0, 0], |
8 [0, 1, 1], | 8 [0, 1, 1], |
9 [1, 0, 1], | 9 [1, 0, 1], |
10 [1, 1, 1]]), | 10 [1, 1, 1]]), |
11 {'input':slice(2),'target':2}) | 11 {'input':slice(2),'target':2}) |