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Building a Variational Autoencoder (VAE) in PyTorch | Encoder, Loss, β-VAE

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Building a Variational Autoencoder (VAE) in PyTorch | Encoder, Loss, β-VAE

In this guided Colab walkthrough from the GenAISA course, we implement and verify a Variational Autoencoder (VAE) step by step using PyTorch. The goal of this lab is to complete Checkpoint 2 (Model) by building the core components of a VAE and ensuring that the forward pass and loss computation work correctly. In this video you will see how to ...

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