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gaussian dropout

Understanding Gaussian Dropout

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Overfitting is a serious problem in neural networks. To understand Gaussian Dropout, we must first understand what overfitting means. Contributed by: Ribha Sharma What is overfitting?  When a model is good at classifying or predicting data in the train set but is not so good at classifying data on a test data set. It can be […]

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Gaussian Mixture Model

Understanding Gaussian Mixture Model

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Contributed by: Gautam Solanki Introduction Gaussian Mixture Model or Mixture of Gaussian as it is sometimes called, is not so much a model as it is a probability distribution. It is a universally used model for generative unsupervised learning or clustering. It is also called Expectation-Maximization Clustering or EM Clustering and is based on the

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