Extreme Learning Machine

What Does Extreme Learning Machine 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.

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Techopedia Explains Extreme Learning Machine

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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Margaret Rouse

Margaret 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 IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.