Update README.md

README.md

@@ -93,7 +93,7 @@ Finally, the training and validation datasets are then converted into a tf.data.
   
    - **Numerical Features:** are projected into a *encoding_size* dimensional vector by applying a linear transformation using *Dense* layer provided by Keras
    
-   Therefore, all the encoded features will have the same dimensionality.
+   Therefore, all the encoded features will have the same dimensionality equal to the value of *encoding_size*.
 
 3. **Create Model:** 
    - The model will have input layers corresponding to both numerical and categorical features of the given dataset