A technology company is developing a machine learning model to automatically categorize images for its e-commerce platform, which includes tasks like identifying products in photos uploaded by users. The data science team is exploring various types of neural networks and needs to choose the most effective one for image classification. Understanding which neural network architecture is best suited for handling the complexities of image data will help the team ensure accurate and efficient classification. What do you recommend for the given use case?