Hi. I have the same problem.
Anyone could help me? El miércoles, 30 de julio de 2014, 5:44:54 (UTC+2), xu shen escribió: > > Does anyone have the normalization code for LeNetPoolLayer? > > The convolution layer is defined as follows: > Class LeNetConvPoolLayer(object): > > conv_out=conv.conv2d(input=input, filters=self.W, > image_shape=image_shape,filter_shape=filter_shape, subsample = subsampe) > > norm_out = normalizer(conv_out,k,n,alpha,beta)# I want to do > normalization here just as Alex Krizhevsky does in DCNN, but I can not find > proper code to do this in theano. > > pooled_out = > downsample.max_pool_2d(input=norm_out,ds=poolsize,ignore_border=True) > > I found out that it's hard to incorporate CrossChannelNormalization in > pylearn2.expr.normalize for this task... > can any one share your normalization theano code in CNN or how to use > CrossChannelNormalizaiton in this code? > Thanks very much. > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
