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The model creation functions defined in nn_utils.network_utils include an optional parameter num_recurrent_units=1
None of the calls to these functions from train.py and generate.py specify a value for this parameter, so by default there is only ever 1 hidden layer.
Add a parameter to config.nn_config for the number of hidden layers and then use the value of that parameter wherever the model is created.
The text was updated successfully, but these errors were encountered:
The model creation functions defined in nn_utils.network_utils include an optional parameter num_recurrent_units=1
None of the calls to these functions from train.py and generate.py specify a value for this parameter, so by default there is only ever 1 hidden layer.
Add a parameter to config.nn_config for the number of hidden layers and then use the value of that parameter wherever the model is created.
The text was updated successfully, but these errors were encountered: