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annotate simple_autoassociator.py/main.py @ 390:efb797c5efc0

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First non-crashing draft of LinearRegression
author Yoshua Bengio <bengioy@iro.umontreal.ca>
date Tue, 08 Jul 2008 17:49:44 -0400
parents a474341861fa
children 98ca97cc9910
rev   line source
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1 #!/usr/bin/python
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2 """
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3 A simple autoassociator.
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4
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5 The learned model is::
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6 h = sigmoid(dot(x, w1) + b1)
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7 y = sigmoid(dot(h, w2) + b2)
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8
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9 Binary xent loss.
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10
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11 LIMITATIONS:
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12 - Only does pure stochastic gradient (batchsize = 1).
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13 """
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14
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15
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16 import numpy
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17
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18 nonzero_instances = []
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19 nonzero_instances.append({1: 0.1, 5: 0.5, 9: 1})
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20 nonzero_instances.append({2: 0.3, 5: 0.5, 8: 0.8})
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21 nonzero_instances.append({1: 0.2, 2: 0.3, 5: 0.5})
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22
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23 import model
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24 model = model.Model()
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25
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26 for i in xrange(100000):
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27 # Select an instance
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28 instance = nonzero_instances[i % len(nonzero_instances)]
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29
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30 # SGD update over instance
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31 model.update(instance)