Extreme Learning Machine (ELM)

Definition - What does Extreme Learning Machine (ELM) mean?

The extreme learning machine (ELM) is a particular kind of machine learning setup in which a single layer or multiple layers apply. The ELM includes numbers of hidden neurons where the input weights are assigned randomly. Extreme learning machines use the concept of random projection and early perceptron models to do specific kinds of problem-solving.

Techopedia explains Extreme Learning Machine (ELM)

The ELM is a feedforward neural net, which means that data only goes one way through the series of layers. The ELM structure does not require the parameters of the net to be tuned. Proponents of ELMs argue that these feedforward networks are, in many ways, able to outperform networks using backpropagation, where information flows back through the network. ELMs can be useful for classification tasks, logical regression, clustering and more.


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