Mercurial > pylearn

changeset 495:7560817a07e8

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nnet_ops => nnet
author Joseph Turian <turian@gmail.com>
date Tue, 28 Oct 2008 12:09:39 -0400
parents 02a331ba833b
children f13847478c6d
files algorithms/logistic_regression.py
diffstat 1 files changed, 3 insertions(+), 3 deletions(-) [+]
line wrap: on
line diff
--- a/algorithms/logistic_regression.py	Tue Oct 28 11:40:56 2008 -0400
+++ b/algorithms/logistic_regression.py	Tue Oct 28 12:09:39 2008 -0400
@@ -1,6 +1,6 @@
 import theano
 from theano import tensor as T
-from theano.tensor import nnet_ops
+from theano.tensor import nnet
 from theano.compile import module
 from theano import printing, pprint
 from theano import compile
@@ -30,7 +30,7 @@
 
         self.params = [p for p in [self.w, self.b] if p.owner is None]
 
-        xent, y = nnet_ops.crossentropy_softmax_1hot(
+        xent, y = nnet.crossentropy_softmax_1hot(
                 T.dot(self.x, self.w) + self.b, self.targ)
         sum_xent = T.sum(xent)
 
@@ -70,7 +70,7 @@
 
         self.params = [p for p in [self.w, self.b] if p.owner is None]
 
-        y = nnet_ops.sigmoid(T.dot(self.x, self.w))
+        y = nnet.sigmoid(T.dot(self.x, self.w))
         xent = -self.targ * T.log(y) - (1.0 - self.targ) * T.log(1.0 - y)
         sum_xent = T.sum(xent)