Mercurial > pylearn

annotate simple_autoassociator/main.py @ 392:e2cb8d489908

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More debugging
author Joseph Turian <turian@gmail.com>
date Tue, 08 Jul 2008 18:45:35 -0400
parents ec8aadb6694d
children
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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({0: 1, 1: 1})
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20 nonzero_instances.append({0: 1, 2: 1})
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21
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22 #nonzero_instances.append({1: 0.1, 5: 0.5, 9: 1})
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23 #nonzero_instances.append({2: 0.3, 5: 0.5, 8: 0.8})
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24 ##nonzero_instances.append({1: 0.2, 2: 0.3, 5: 0.5})
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25
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26 import model
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27 model = model.Model()
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28
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29 for i in xrange(100000):
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30 # Select an instance
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31 instance = nonzero_instances[i % len(nonzero_instances)]
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32
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33 # SGD update over instance
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34 model.update(instance)