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Implementing a variational autoencoder to reconstruct MNIST Data, FashionMNIST Data. The Trained VAE also generate new data with an interpolation in the latent space

jeremybboy.github.io/mnist_vae_pytorch/
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VAE Reconstruction of MNIST (left) and FashionMNIST Data (right)

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The Latent Space is a space that the VAE has constructed with the trained data, in order to be able to reconstruct them.

MNIST Latent Space

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FashionMNIST Latent Space

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Interpolation in the latent space

![dddd ](images/intepolation_espace latent.png "Loudness Source et Loudness Reconstruite du sample 5") ![dddd ](images/intepolation_espace latent.png "Loudness Source et Loudness Reconstruite du sample 5")

New data generated

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Implementing a variational autoencoder to reconstruct MNIST Data, FashionMNIST Data. The Trained VAE also generate new data with an interpolation in the latent space

jeremybboy.github.io/MNIST_VAE_PYTORCH/

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