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comparison test_mlp.py @ 133:b4657441dd65

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Corrected typos
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Fri, 09 May 2008 13:38:54 -0400
parents 2ca8dccba270
children 0d8e721cc63c
comparison
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132:f6505ec32dc3 133:b4657441dd65
1 1
2 from mlp import * 2 from mlp import *
3 import dataset
3 4
4 def test0(): 5 def test0():
5 nnet = OneHiddenLayerNNetClassifier(10,3,.1) 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)
6 13
14 print fprop(training_set)
7 15
8 test0() 16 test0()
9 17