April 2018
Beginner to intermediate
500 pages
11h 26m
English
book
Hands-On Machine Learning on Google Cloud Platform
by Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier, Bryan Fry, Antonio Gulli
Content preview from Hands-On Machine Learning on Google Cloud Platform
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Model fitting
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 ...
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