The parameters of the DNN will be learned using stochastic gradient descent.
Edit your config file to turn training on
NORMLAB : False MAKECMP : False NORMCMP : False TRAINDNN : True DNNGEN : False GENWAV : False CALMCD : False
and change a few values to make training very fast, just for testing
[Architecture] training_epochs : 5
[Data] train_file_number: 10 valid_file_number: 5 test_file_number : 5
and run this step
$ python /Volumes/Network/courses/ss/dnn/dnn_tts/run_dnn.py feed_forward_dnn_WORLD.conf
Ignore any warning from then about “UserWarning: The Param class is deprecated…”
You can also obtain plots from the training process by adding these to your configuration file (you may need to create the [Utility] section):
[Paths] plot_dir : log [Utility] plot : True
