Mercurial > pylearn
comparison mlp.py @ 132:f6505ec32dc3
Updated documentation slightly
author | Joseph Turian <turian@gmail.com> |
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date | Thu, 08 May 2008 00:54:14 -0400 |
parents | 4c2280edcaf5 |
children | b4657441dd65 |
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131:57e6492644ec | 132:f6505ec32dc3 |
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1 """ | |
2 A straightforward classicial feedforward | |
3 one-hidden-layer neural net, with L2 regularization. | |
4 This is one of the simplest example of L{Learner}, and illustrates | |
5 the use of theano. | |
6 """ | |
1 | 7 |
2 from learner import * | 8 from learner import * |
3 from theano import tensor as t | 9 from theano import tensor as t |
4 from nnet_ops import * | 10 from nnet_ops import * |
5 | |
6 # this is one of the simplest example of learner, and illustrates | |
7 # the use of theano | |
8 | 11 |
9 | 12 |
10 class OneHiddenLayerNNetClassifier(OnlineGradientTLearner): | 13 class OneHiddenLayerNNetClassifier(OnlineGradientTLearner): |
11 """ | 14 """ |
12 Implement a straightforward classicial feedforward | 15 Implement a straightforward classicial feedforward |