Hi, it should be working, i just accessed it. You may want to try this link to directly access the zip file: https://sites.google.com/a/chalearn.org/automl/general-mnist---cnn-example/MNISTrelease2.zip?attredirects=0&d=1
On Thursday, January 12, 2017 at 4:19:46 PM UTC+8, Desy rona wrote: > > 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. >> >> 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, Desy rona wrote: >>> >>> >>> >>> I am using the cnn text classification written by Yoo Kim >>> <https://github.com/yoonkim/CNN_sentence> for sentiment analysis. This >>> code applies cross validation to check the quality of learned model. >>> However, I want to save the learned weights and biases, so I can apply the >>> learned model on new instances one by one for the prediction purpose. I >>> appreciate if someone provides an example of how I can do that. I know that >>> I should use pickle load and dumb to do that, but I am not sure exactly >>> which part of the code I should use them I want to have a separate test.py >>> file so I can only test the trained model on a test sample without training >>> the model again. how I should save and then predict based on saved model? >>> I am new to both python and theano. So I appreciate it if someone can >>> provide an example. >>> >> -- --- 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.
