Generating Synthetic Data Using a Variational Autoencoder with PyTorch

added by DotNetKicks
5/7/2021 2:39:22 PM

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The Data Science Lab Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few females. A variational autoencoder (VAE) is a deep neural system that can be used to generate synthetic data.


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