Modular Neural Networks
A modular neural network is a neural network characterized by a series of independent neural networks moderated by some intermediary. Each independent neural network serves as a module and operates on separate inputs to accomplish some subtask of the task the network hopes to perform. The intermediary takes the outputs of each module and processes them to produce the output of the network as a whole. The intermediary only accepts the modules’ outputs—it does not respond to, nor otherwise signal, the modules. As well, the modules do not interact with each other.
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Famous quotes containing the word networks:
“The great networks are there to prove that ideas can be canned like spaghetti. If everything ends up by tasting like everything else, is that not the evidence that it has been properly cooked?”
—Frederic Raphael (b. 1931)