This Modular Neural Network comprises multiple neural network models linked together by an intermediary. Modular neural networks enable the sophisticated use of more basic neural network systems that are managed and handled in tandem. Work on modular neural networks dates back to the 1980s and has been explored in various ways. The concept of ensemble learning states that a group of "simple" or "weak" learners can outperform a single deep learning model. Depending on the specific relationship of the network components, experts may also discuss tightly and loosely coupled modular neural network models.