charuj / multigraph_lstm_hyperparamsearch Goto Github PK
View Code? Open in Web Editor NEWTutorial/project showing how to use a multi-graph architecture in tensorflow for creating a LSTM along with random hyperparameter search.
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k-fold mehod
Hello again
I've a new question... Now in the Cross Validation...
What method are you using ... In other words how did you partition your dataset?
From what I understood ... you parted in train, test, and validation and for each of the three partitioned again into k parts ... (train_list, valid_list) ....
Am I right?
Is there any further advancement?
I'm very interested in the part of optimization of hyperparametros with tensorflow ... I found this repository, but it seems that it is abandoned
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