CNN Universal Machine

A CNN Universal Machine is a theoretical framework that uses Convolutional Neural Networks (CNNs) to simulate any computable function or algorithm. Think of it as a universal translator for neural networks, capable of executing a wide range of computational tasks by learning patterns and structures from data. This concept highlights CNNs' versatility, not just in image recognition, but as a foundational model capable of performing complex computations, similar to how a universal computer can run any program. Essentially, it demonstrates the broad potential of CNNs to serve as a powerful, flexible computational tool.