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Lecture 13: Generative Models

Lecture 13: Generative Models

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Lecture 13 - 33 May 18, 2017 PixelRNN and PixelCNN Improving PixelCNN performance - Gated convolutional layers - Short-cut connections - Discretized logistic loss - Multi-scale - Training tricks - Etc… See - Van der Oord et al. NIPS 2016 - Salimans et al. 2017 (PixelCNN++) Pros: - Can explicitly compute likelihood p(x) - Explicit likelihood ...

  2017, Inps, Generative

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