Manual/Modules/Neural-Network-Training.md

@@ -39,7 +39,8 @@ The script evaluates the trained model on the validation dataset, calculates the
 
 The module provides a comprehensive and flexible approach to training PyTorch neural networks on DAQ data. It can be configured through command-line arguments and a YAML configuration file, making it adaptable to different datasets and training scenarios. The logging and result-saving functionalities contribute to its usability and transparency.
 
-### Usage
+
+## Usage
 
 Users should execute the script from the User-Interface by clicking on the Model tab, choosing a folder from the DAQ data section and clicking 'Train Model'. Otherwise, one should run the following command providing requisite CLI options;