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GTC On-Demand

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Abstract:
We'll discuss how we could use deep generative modeling in two application domains; in speech synthesis, and in sensor data modeling. We'll give an overview of what generative modeling is and how it could be used for practical AI tasks through these examples. We'll also give a flavor of latent space methods, which we can use to learn more about our data so as to transform them in meaningful ways, with uses in both reconstruction and in generation.
We'll discuss how we could use deep generative modeling in two application domains; in speech synthesis, and in sensor data modeling. We'll give an overview of what generative modeling is and how it could be used for practical AI tasks through these examples. We'll also give a flavor of latent space methods, which we can use to learn more about our data so as to transform them in meaningful ways, with uses in both reconstruction and in generation.  Back
 
Topics:
AI and DL Research, Advanced AI Learning Techniques
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8617
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