Hi,
I've been trying to modify deeplearning.net's tutorial on RBM to create a
RSM layer but i am struggling with theano's scan function to simulate
multinomial random variables.
I find theano's scan function difficult to master. Was hoping that someone
can help identify where I went wrong with
Hi Desy,
I faced this issue before.
One way to do this is to save and pickle all the weights. A good reference
would be to download and study the codes from the following:
https://sites.google.com/a/chalearn.org/automl/general-mnist---cnn-example
On Tuesday, January 10, 2017 at 1:22:22 PM UTC+8
For those who are interested, here is one solution
import numpy as np
import theano
from theano import tensor as T
theano_rng = T.shared_randomstreams.RandomStreams(1234)
W_values = np.array([[1,1,1],[1,1,1]], dtype=theano.config.floatX).T #3
visibles and 2 hidden
bvis_values = np.array([1,1,1],
rote:
>
> Thanks for the solution ..
> but I had a little trouble downloading the dataset, the link is broken, is
> there any other links?
>
> Pada Selasa, 10 Januari 2017 12.47.20 UTC+7, krenova Math menulis:
>>
>> Hi Desy,
>>
>> I faced this issue before.
>>
