The sklearn.neural_network.BernoulliRBM.fit_transform function in Python's scikit-learn library is used to both fit and transform data using a Bernoulli Restricted Boltzmann Machine (RBM). RBM is a type of neural network typically used for unsupervised learning tasks, such as feature extraction or dimensionality reduction. This function trains the RBM model on the input data and simultaneously applies the learned transformations to the data, returning the transformed data.
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