Day 23: Latent Space Explorer: Build a Variational Autoencoder (VAE) in PyTorch & Streamlit
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Day 23: Latent Space Explorer: Build a Variational Autoencoder (VAE) in PyTorch & Streamlit
Explore how a Variational Autoencoder (VAE) learns a 2D latent space with this interactive Latent Space Explorer app built in PyTorch and Streamlit. In this deep learning demo, you’ll train a hand-built VAE from scratch — including the reparameterization trick and closed-form KL divergence — then decode a grid across the latent plane to ...
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