Exploring sequential VAE to handle time-series data

Exploring sequential VAE to handle time-series data

Variational Autoencoders (VAEs) have gained significant popularity in recent years as a powerful generative model. They emerged in 2013 when it was introduced as a means to learn latent representations of data in an unsupervised manner while providing a probabilistic framework for generation. One of...

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書目詳細資料
主要作者:	Tan, Colin G-Hao
其他作者:	Arvind Easwaran
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2023
主題:	Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/166501
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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