Created by @RisingSayak! Also take a look at the original paper:https://arxiv.org/abs/1711.00937
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Now on http://keras.io : tutorial on vector-quantized variational autoencoders (VQ-VAE), a type of VAE that uses a discrete latent space. Check it out!https://keras.io/examples/generative/vq_vae/ …
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Not to mention, that we can integrate amazing Tensorflow Probability Layers. Thank you for this tutorial!
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nice! would it be possible to have a tutorial on vanilla deterministic regularized autoencoders? they are simpler than VAEs to implement (and VQ-VAEs are some sophisticated version of them!)https://arxiv.org/abs/1903.12436
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