Hi all,
I am attempting to follow the logistic regression example in the
documentation. Here is a subset of the code that people with correct theano
versions should be able to run:
import numpy
import theano
import theano.tensor as T
rng = numpy.random
N = 400
feats = 784
# generate a
By the way, if it helps, I installed Theano using the command on the
Lasagne docs:
http://lasagne.readthedocs.io/en/latest/user/installation.html#bleeding-edge-version
Which was:
pip install --upgrade https://github.com/Theano/Theano/archive/master.zip
--
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You received this message
I should also add, in case it helps, I installed Theano (and Lasagne) using
the two commands here:
http://lasagne.readthedocs.io/en/latest/user/installation.html#bleeding-edge-version
on the Lasagne documentation.
On Tuesday, November 22, 2016 at 9:38:34 PM UTC-8, Daniel Seita wrote:
>
> Hi
Dear all,
I wanna to use np.where in theano. However, it seems that
theano.tensor.where is not doing the same things as numpy.where will do. Is
there any function i can use in theano?
For example,
a = numpy.arange(10)
index = numpy.where(a>a[0])
How to implement the code above in theano?
--
Hi,
Thanks for you reply.
I tried in terminal :
ye@ye-desktop:~/Dropbox/PycharmProjects/project$ echo $PATH
look in pycharm doc. It probably tell how to change it. But if it is a real
shell, you could manually do in each shell:
PATH=...
with ... be what you want as PATH.
On Tue, Nov 22, 2016 at 4:16 PM, 王烨 wrote:
> Hi,
> Thanks for you reply.
> I tried in terminal :
>
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):
>
>
Could be used CrossChannelNormalization of pylearn as a local response
normalization?
Regards.
El martes, 22 de noviembre de 2016, 16:15:08 (UTC+1), Beatriz G. escribió:
>
> Hi.
>
> I have the same problem.
>
> Anyone could help me?
>
> El miércoles, 30 de julio de 2014, 5:44:54 (UTC+2), xu
Hi,
I have constructed the environment as below. CUDA is working well in Visual
Studio.
However, I cannot use GPU well in Theano using simple test code.
OS: Windows 10 Home 64bit
GPU: GTX 1080
Visual Studio: Visual Studio 2015
CUDA: CUDA 8.0 & cuDNN 5.1
DNN framework: Theano
Error message is
Hi,
The only syntax we currently support in tensor.where is the one where
two additional argument are provided, like in:
>>> numpy.where(a > 3, a, a + 3)
array([3, 4, 5, 6, 4, 5, 6, 7, 8, 9])
>>> x = tensor.vector()
>>> tensor.where(x > 3, x, x + 3).eval({x: a})
array([ 3., 4., 5., 6., 4.,
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