This repository contains codes to a project on using variational autoencoders on MNIST datset. Different loss functions are used. Also, the 2-dimensional latent space and methods to manipulate it are discoverd completely. Finally, conditional variational autoencoder were used to see the difference with simple autoencoders.
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ovaheb/Variational-Autoencoder-on-MNIST-Dataset
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This repository contains codes to a project on using variational autoencoders on MNIST dataset.
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