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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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/166501 |
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| Institution: | Nanyang Technological University |
| Language: | English |