Propose an alternative design for your convolutional layer that balances the tradeoff between model complexity and training efficiency. Explain how the chosen approach addresses the limitations of the simple layer terminology.

Replace the simple layer terminology with the complex layer terminology, which groups multiple processing steps into a single ‘stage’. This reduces the number of learnable parameters and improves training efficiency at the cost of slightly decreased model interpretability.