cmds/run_Extract_Feats.py  --  Feature Extraction with a Trained Model ---------------------------------------------------------------------------------------------------------------------- Arguments argument meaning default value --data         input data specification required                     --nnet-param path to model parameters required --nnet-cfg path to model config required --output-file path to save the extracted features into the pickle format required --layer-index     the index of the layer from which features are generated. Layers are 0-based indexed, starting from the first hidden layer. Set it to "-1" when you want to do classification. That is, we extract features from the final softmax layer. required --batch-size the size of mini-batches by which data are fed into the network required Example python cmds/run_Extract_Feats.py --data "test.pickle.gz" \                                  --nnet-param dnn.param --nnet-cfg dnn.cfg \                                  --output-file "dnn.classify.pickle.gz" --layer-index -1 \                                  --batch-size 100