A modular neural network is a type of neural network architecture that is composed of multiple independent or semi-independent modules, each designed to handle specific parts of a task or a set of related tasks. The key idea behind modular neural networks is to break down complex problems into simpler, more manageable components, allowing for greater flexibility, scalability, and specialization.
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