Difference between revisions of "Generative AI"
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** [[Semi-Supervised Learning with Generative Adversarial Network (SSL-GAN)]] | ** [[Semi-Supervised Learning with Generative Adversarial Network (SSL-GAN)]] | ||
** [[Context-Conditional Generative Adversarial Network (CC-GAN)]] | ** [[Context-Conditional Generative Adversarial Network (CC-GAN)]] | ||
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| + | Generative modeling asks how likely it is, given condition X, that you’ll observe outcome Y. The approach has proved incredibly potent and versatile. [https://www.quantamagazine.org/how-artificial-intelligence-is-changing-science-20190311/ How Artificial Intelligence Is Changing Science | Dan Falk - Quanta Magazine] | ||
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<youtube>HyuBTMaKFmU</youtube> | <youtube>HyuBTMaKFmU</youtube> | ||
Revision as of 19:44, 25 March 2019
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- machines learn to perceive their surroundings by training only on data obtained by themselves
- AI Solver
- Generative Query Network (GQN)
- Discriminative vs. Generative
- Generative model | Wikipedia
- Adversarial
Generative modeling asks how likely it is, given condition X, that you’ll observe outcome Y. The approach has proved incredibly potent and versatile. How Artificial Intelligence Is Changing Science | Dan Falk - Quanta Magazine
Deep Generative Modeling
Agents
Generative Modeling Language
