How-to-use.md

@@ -30,12 +30,12 @@ Write *data_loading_train* function for train inside *data_processing/data_loadi
 Write *compute_loss* function inside *train.py* file.
 
 #### Step 7 - Add optimizer
-Add an optimizer in *train* function inside *run.py* file (you can use [configuration file](https://gitlab.fbk.eu/dsip/templates/dl_setup/-/wikis/Configuration-file) to load lr and other hyper-params).
+Add an optimizer in *train* function inside *run.py* file (you can use [configuration file](Configuration-file) to load lr and other hyper-params).
 
 #### Step 8 (Optional) - Add scheduler and early_stopper
 Change the value of the scheduler in *train* function inside *run.py* from None to a scheduler you want. If you are not going to use a scheduler leave scheduler to None.
 
-If you want to use [early stopper](https://gitlab.fbk.eu/dsip/templates/dl_setup/-/wikis/Pytorch) you need to write 3 config inside [configuration file](https://gitlab.fbk.eu/dsip/templates/dl_setup/-/wikis/Configuration-file):
+If you want to use [early stopper](Pytorch) you need to write 3 config inside [configuration file](https://gitlab.fbk.eu/dsip/templates/dl_setup/-/wikis/Configuration-file):
 
 * in *environment* section set *use_early_stopper* to true;
 * in *earlystopping* section set *patience* to a value you want.
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