Gourav S B

I trained the model in the Google Colab for 6 hours and got 93% accuracy...Here is the model for train1.py code. https://drive.google.com/file/d/1yC3G3V03X3s8mKJ1J6bMkOqDT8r-TBb8/view?usp=sharing Use Tensorboard to view the confusion matrix for...

@hungknorton I changed a few codes. Here are the changed [codes](https://drive.google.com/file/d/1X45UWXQ-DkCeuU01Q1kjmtMm70p7s-D2/view?usp=sharing). Now u can substitute these codes with the original ones downloaded when u do in the git pull. I...

Hi iamxiaoyubei, Did u try to run the model with the changed codes I supplied. Because the point at which u are getting stuck happens because of a slight error...

I trained the model in the Google Colab for 6 hours and got 93% accuracy...Here is the model for train1.py code. https://drive.google.com/file/d/1yC3G3V03X3s8mKJ1J6bMkOqDT8r-TBb8/view?usp=sharing Use Tensorboard to view the confusion matrix for...

That depends upon how many epochs you train for. With Google Colab having the best Nvidia K80 Tesla GPu (4 of them) you can train the model much faster. Try...

Its on Kaggle as well: https://www.kaggle.com/nltkdata/timitcorpus

First delete or comment this statement in train1.py print('case: {}, logdir: {}'.format(args.case1, args.case, logdir_train1)) Then also go to data_load.py file and replace "PHN" with "phn" if TIMIT Data has small...