hkproj/vae-from-scratch-notes
Notes about the video on the Variational Autoencoder
This project contains notes and explanations for understanding Variational Autoencoders (VAEs). It helps machine learning practitioners or students grasp the concepts behind VAEs, which are powerful generative models. You'll go from basic mathematical principles to how VAEs generate new data similar to their training input, such as images or text.
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Use this if you are a machine learning student or practitioner looking to deeply understand the theoretical and practical aspects of Variational Autoencoders from scratch.
Not ideal if you're looking for a ready-to-use VAE implementation or a high-level overview without diving into the underlying mathematics.
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Jun 07, 2023
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