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annotate sandbox/rbm/main.py @ 472:69c800af1370

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changed weight initialization for logistic regression
author James Bergstra <bergstrj@iro.umontreal.ca>
date Thu, 23 Oct 2008 13:26:42 -0400
parents c2e6a8fcc35e
children
rev   line source
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a1bbcde6b456 Moved sparse_random_autoassociator from my repository
Joseph Turian <turian@gmail.com>
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1 #!/usr/bin/python
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2 """
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3 Simple SGD RBM training.
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4 (An example of how to use the model.)
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5 """
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6
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7
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75bab24bb2d8 Moved more logic into model.py
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8 import numpy
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9
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10 nonzero_instances = []
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ffdd2c199f2a * Added momentum.
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11 #nonzero_instances.append({0: 1, 1: 1})
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12 #nonzero_instances.append({0: 1, 2: 1})
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e2cb8d489908 More debugging
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13
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14 nonzero_instances.append({1: 0.1, 5: 0.5, 9: 1})
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15 nonzero_instances.append({2: 0.3, 5: 0.5, 8: 0.8})
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16 nonzero_instances.append({1: 0.2, 2: 0.3, 5: 0.5})
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17
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18 import model
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c2e6a8fcc35e Globals are now parameters for the RBM model
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19 model = model.Model(input_dimension=10, hidden_dimension=6)
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20
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21 for i in xrange(100000):
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22 # Select an instance
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23 instance = nonzero_instances[i % len(nonzero_instances)]
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24
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25 # SGD update over instance
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26 model.update([instance])