Mercurial > pylearn
annotate sandbox/rbm/main.py @ 395:70019965f888
Basic, broken RBM implementation
author | Joseph Turian <turian@gmail.com> |
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date | Tue, 08 Jul 2008 20:14:21 -0400 |
parents | sandbox/simple_autoassociator/main.py@36baeb7125a4 |
children | 8796b91a9f09 |
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1 #!/usr/bin/python |
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2 """ |
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Basic, broken RBM implementation
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3 An RBM with binomial units trained with CD-1. |
381 | 4 |
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5 LIMITATIONS: |
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6 - Only does pure stochastic gradient (batchsize = 1). |
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Joseph Turian <turian@gmail.com>
parents:
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7 """ |
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Joseph Turian <turian@gmail.com>
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8 |
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9 |
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10 import numpy |
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11 |
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12 nonzero_instances = [] |
392 | 13 nonzero_instances.append({0: 1, 1: 1}) |
14 nonzero_instances.append({0: 1, 2: 1}) | |
15 | |
16 #nonzero_instances.append({1: 0.1, 5: 0.5, 9: 1}) | |
17 #nonzero_instances.append({2: 0.3, 5: 0.5, 8: 0.8}) | |
18 ##nonzero_instances.append({1: 0.2, 2: 0.3, 5: 0.5}) | |
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19 |
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20 import model |
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21 model = model.Model() |
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22 |
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23 for i in xrange(100000): |
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24 # Select an instance |
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25 instance = nonzero_instances[i % len(nonzero_instances)] |
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26 |
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27 # SGD update over instance |
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28 model.update(instance) |