@@ -103,6 +103,5 @@ To prepare the training data one can use the following command:
...
@@ -103,6 +103,5 @@ To prepare the training data one can use the following command:
--sub-directory <PATH_TO_STORE_THE_RESULTS> # define your path here
--sub-directory <PATH_TO_STORE_THE_RESULTS> # define your path here
Once above script is completed, the MC data suitable for autoencoder fine-tuning is located in the folder ``<PATH_TO_STORE_THE_RESULTS>/preprocessed/``.
Once above script is completed, the MC data suitable for autoencoder fine-tuning is located in the folder ``<PATH_TO_STORE_THE_RESULTS>/preprocessed/``.
Now the autoencoder can be fine-tuned. Again, the fine-tuning procedure is explained in the **Convolutional autoencoder** section in the documentation of the ``bob.learn.pytorch`` package.