human
<image> What practical insights can we gain from observing the peak accuracies at 8 layers?
gpt
The peak accuracies at 8 layers suggest that this might be an optimal number of layers for both training and test conditions in MBN and compressive MBN without experiencing overfitting or significant computational inefficiencies. Integrating such insights into neural network design might help in achieving better generalized performance and efficient use of resources, especially in complex datasets or applications requiring balance between accuracy and computational overhead.