Deep Learning Lecture 14: Karol Gregor on Variational Autoencoders and Image Generation
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YouTubeNando de Freitas
Deep Learning Lecture 14: Karol Gregor on Variational Autoencoders and Image Generation
Slides available at: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ Course taught in 2015 at the University of Oxford by Nando de Freitas with great help from Brendan Shillingford. Guest Lecture by Karol Gregor of Google Deepmind.
49.8K viewsMar 12, 2015
Variational autoencoder Applications
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AI • Machine Learning • Tech on Instagram: "A variational autoencoder (VAE) is a generative model that learns to represent data not as fixed points, but as probability distributions in a hidden space. Like other neural networks, it uses large matrices with tunable parameters to process the input, but instead of producing a single compressed vector, it outputs a mean and variance that define a distribution the input could come from. During training, the model samples from this distribution and tr
1:02
AI • Machine Learning • Tech on Instagram: "A variational autoencoder (VAE) is a generative model that learns to represent data not as fixed points, but as probability distributions in a hidden space. Like other neural networks, it uses large matrices with tunable parameters to process the input, but instead of producing a single compressed vector, it outputs a mean and variance that define a distribution the input could come from. During training, the model samples from this distribution and tr
Instagramaibutsimple
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