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First Indicator |
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Subfields |
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20221005193843.2 |
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|a 1680836226
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|a TK7882.P3
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|
| 100 |
1 |
|
|a Kingma, Diederik P.,
|e author.
|
| 245 |
1 |
3 |
|a An introduction to variational autoencoders /
|c Diederik P. Kingma and Max Welling.
|
| 264 |
|
1 |
|a Norwell, MA :
|b Now Publishers,
|c [2019]
|
| 264 |
|
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|c ©2019
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| 300 |
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|a 93 pages :
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|a volume
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| 490 |
1 |
|
|a Foundations and Trends in Machine Learning ;
|v 12:4
|
| 504 |
|
|
|a Includes bibliographical references (pages 81-93).
|
| 505 |
0 |
|
|a 1. Introduction -- 2. Variational autoencoders -- 3. Beyond Gaussian posteriors -- 4. Deeper generative models -- 5. Conclusion -- Acknowledgements -- Appendices -- References.
|
| 650 |
|
0 |
|a Pattern recognition systems.
|
| 650 |
|
0 |
|a Machine learning.
|
| 700 |
1 |
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|a Welling, Max,
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|a Foundations and trends in machine learning ;
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|a Texas A&M University
|b College Station
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