Mercurial > pylearn
annotate sandbox/rbm/parameters.py @ 494:02a331ba833b
merge
author | Joseph Turian <turian@gmail.com> |
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date | Tue, 28 Oct 2008 11:40:56 -0400 |
parents | c2e6a8fcc35e |
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1 """ |
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2 Parameters (weights) used by the L{Model}. |
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3 """ |
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4 |
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5 import numpy |
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6 |
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7 class Parameters: |
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8 """ |
a1bbcde6b456
Moved sparse_random_autoassociator from my repository
Joseph Turian <turian@gmail.com>
parents:
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9 Parameters used by the L{Model}. |
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Joseph Turian <turian@gmail.com>
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10 """ |
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11 def __init__(self, input_dimension, hidden_dimension, randomly_initialize, random_seed): |
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12 """ |
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13 Initialize L{Model} parameters. |
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14 @param randomly_initialize: If True, then randomly initialize |
406
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15 according to the given random_seed. If False, then just use zeroes. |
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16 """ |
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17 if randomly_initialize: |
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18 numpy.random.random_seed(random_seed) |
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19 self.w = (numpy.random.rand(input_dimension, hidden_dimension)-0.5)/input_dimension |
396 | 20 self.b = numpy.zeros((1, hidden_dimension)) |
21 self.c = numpy.zeros((1, input_dimension)) | |
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22 else: |
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23 self.w = numpy.zeros((input_dimension, hidden_dimension)) |
396 | 24 self.b = numpy.zeros((1, hidden_dimension)) |
25 self.c = numpy.zeros((1, input_dimension)) | |
387 | 26 |
27 def __str__(self): | |
28 s = "" | |
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29 s += "w: %s\n" % self.w |
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parents:
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30 s += "b: %s\n" % self.b |
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parents:
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31 s += "c: %s\n" % self.c |
387 | 32 return s |