We have previously said that RBM is often used as a feature in a wide variety of classification problems. It's time to see how to do it. The first thing to do is to use the BernoulliRBM function of the sklearn.neural_network module.
sklearn is a free machine learning library for the Python programming language. It features various classification, regression, and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means, and DBSCAN. And it is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.
In the sklearn library, the sklearn.neural_network module includes models based on neural networks. In this module, the BernoulliRBM function fits a Bernoulli ...
