Modular Neural Networks are AI models composed of smaller interconnected modules, each responsible for a specific sub-task or component. These modular architectures allow for easier interpretation, flexibility, and scalability. Modular neural networks have applications in areas like computer vision, natural language processing, and robotics.
Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering…