: Vocabulario de PLN: deep belief network

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deep belief network

A kind of deep neural network, which is composed of stacked layers of restricted boltzmann machines. It is a generative model used to solve unsupervised learning tasks to reduce the dimensionality of features, and can also be used to solve supervised learning tasks to build classification models or regression models. (Adapted from Liu, Single-point wind forecasting methods based on reinforcement learning, in Wind Forecasting in Railway Engineering, 2021)

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