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annotate algorithms/sgd.py @ 479:fbfd3932fd00

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typo
author James Bergstra <bergstrj@iro.umontreal.ca>
date Mon, 27 Oct 2008 17:28:48 -0400
parents 8ff412852d66
children
rev   line source
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2 from theano.compile import module
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3 from theano import tensor as T
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4
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5 class StochasticGradientDescent(module.FancyModule):
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6 def __init__(self, params, gparams, lr=None):
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7 super(StochasticGradientDescent, self).__init__()
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8
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9 self.lr = lr if lr is not None else module.Member(T.dscalar())
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10 self.params = params
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11 self.gparams = gparams
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13 self.updates = dict((p, p - self.lr * g) for p, g in zip(self.params, self.gparams))
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14