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- W3178671106 abstract "The Variational Auto-Encoder (VAE) has proven successful in various domains and tasks such as dimensionality reduction, information retrieval, and so on. In this chapter, we first present the Auto-Encoder, which used to learn compressing the input data and minimize errors in reconstructing them. Next, we introduce and explain VAE, which is an advanced version of AE. Finally, we provide an example program of building, training, and testing the VAE model on the MNIST handwritten digit dataset for compressing and reconstructing images." @default.
- W3178671106 created "2021-07-19" @default.
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- W3178671106 date "2021-01-01" @default.
- W3178671106 modified "2023-09-27" @default.
- W3178671106 title "Variational auto-encoder" @default.
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- W3178671106 doi "https://doi.org/10.1016/b978-0-323-90198-7.00010-0" @default.
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