Understanding the Reparameterization Trick
Understanding the Reparameterization Trick
Jan 30, 2025
medium.com
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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
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