chapter4.md

@@ -137,12 +137,12 @@ Neural networks have been applied across a variety of fields due to their abilit
 
 V. Advantages and Challenges
 
-a. Advantages:
+1. Advantages:
    - **Flexibility**: Can be adapted to various tasks and data types.
    - **Scalability**: Can handle large amounts of data and complex models.
    - **Performance**: Often achieves state-of-the-art results in many AI tasks.
 
-b. Challenges:
+2. Challenges:
    - **Training Time**: Requires significant computational resources and time to train, especially for deep networks.
    - **Data Requirements**: Needs large amounts of labeled data for effective training.
    - **Interpretability**: Often considered "black boxes" due to the difficulty in understanding how they make decisions.