Variational Autoencoders explained from scratch

AI • Machine Learning • Tech on Instagram: "The reparameterization trick is a clever technique used in Variational Autoencoders (VAEs) to make the training process possible using standard gradient-based optimization. Normally, VAEs learn to generate data by first learning a distribution (like a Gaussian) from which to sample, but sampling from this distribution means we can’t backpropagate the loss to update the model (we can’t differentiate a sampling process!). The reparameterization trick sol

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

Conceptos de inteligencia artificial: qué son las GANs o redes generativas antagónicas

Capítulo 54 - Introdução às Redes Adversárias Generativas (GANs - Generative Adversarial Networks) - Deep Learning Book