Design an improved neural network architecture for your e-commerce product description generator, focusing on balancing model capacity and regularization techniques. Explain how this change addresses the challenge of controlling model complexity in deep learning scenarios.

To address the challenge, we can introduce a hierarchical structure to the model, using multiple layers with varying numbers of neurons. This allows for more flexible representation of complex product reviews while still maintaining regularization through techniques such as dropout and weight decay. By tuning these hyperparameters, we can find an optimal balance between model capacity and generalization error.