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
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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
In this article, we explore the concept of Variational Autoencoders (VAEs), a type of generative model that learns to represent data as probability distributions in a hidden space. We dive into the key components of VAEs, including the encoder, decoder, and latent space, and how they produce meaningful variations in the output. From ...
15.7K views2 months ago
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