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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.

Ancestors (6)

  1. Computational neuroscience
  2. Mathematical and theoretical biology
  3. Applied mathematics
  4. Fields of mathematics
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