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.
