Lilian Weng • 8/12/2018

From Autoencoder to Beta-VAE

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This technical article provides a detailed overview of Autoencoders and their progression to more advanced variants like Beta-VAE. It explains the neural network architecture, including encoder and decoder functions, mathematical notation, and the goal of learning efficient latent representations for data reconstruction and dimensionality reduction, with references to foundational research.

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#Neural Networks #Deep Learning #Generative Models
From Autoencoder to Beta-VAE

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