Data Generation with Variational Autoencoders and Generative Adversarial Networks
The paper considers the problem of modelling the distribution of data with noise in the input data. In this paper, we consider encoders and decoders, which solve the problem of modelling data distribution. The improvement of variational autoencoders (VAEs) is discussed. Practical implementation is p...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
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Series: | Engineering Proceedings |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-4591/33/1/37 |