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Fast Dropout Training for Neural Networks by Sida Wang is a document available to read on EtoBox.

What is Fast Dropout Training for Neural Networks about?

This document describes a method for fast "dropout" training of neural networks. It begins by examining the implied objective function of dropout training, which is to minimize the expected conditional log-likelihood given randomly dropped-out features. Instead of directly computing this expectation, the method approximates it using a Gaussian distribution justified by the central limit theorem. This allows optimizing the objective directly in an efficient manner rather than using slow Monte Carlo sampling.

Author

Sida Wang

Language

EN