Modular Neural Network

What Does Modular Neural Network Mean?

A modular neural network is one that is composed of more than one neural network model connected by some intermediary. Modular neural networks can allow for sophisticated use of more basic neural network systems managed and handled in conjunction.


Techopedia Explains Modular Neural Network

Work on modular neural networks dates all the way back to the 1980s and has been explored in several ways. There is the concept of ensemble learning, where a collection of "simple" or "weak" learners can outpace one deep learning model. Important principles in modular neural network development include the "divide and conquer" principal, which breaks large problems down into more viable parts, and diversity promotion, which some experts describe as a biologically-based model where different types of neural networks cooperate, each fulfilling a different role or function.

Experts may also talk about tightly and loosely coupled modular neural network models depending on the specific relationship of the network components.

In general, modular neural networks allow engineers to broaden the possibilities of using these technologies to push the boundaries of what neural networks can accomplish.


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Margaret Rouse

Margaret Rouse is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical, business audience. Over the past twenty years her explanations have appeared on TechTarget websites and she's been cited as an authority in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine and Discovery Magazine.Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages. If you have a suggestion for a new definition or how to improve a technical explanation, please email Margaret or contact her…