Amphitheater models

Amphitheater models are a way to organize and visualize neural network architecture, especially for image recognition. Imagine a layered structure where each "level" or block represents a set of interconnected operations—like filtering, reducing dimensions, and combining features—that process the input data. These models typically have a symmetrical, shell-like design similar to an ancient amphitheater, with layers expanding and contracting to efficiently extract important features while maintaining clarity. This structure helps the network learn complex patterns more effectively and efficiently, leading to better performance in tasks such as image classification.