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Tagged with variational-autoencoder keras
5 questions
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VAE ( variational autoencoder) for timeseries anomaly detection ,
I am implementing VAE based anomaly detection for multivariate timeseries using keras,
I have ELBO (Evidence lower bound) which is combination of
$$-\ D_{KL}\left({\ q}_\varphi\left(z\middle| x^i\...
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What best practices for VAE do you know?
The data is binary voxel data of shape (60, 36, 60). I want to compress such data into ...
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Why does the latent space in Stable Diffusion have a shape of 64x64x3?
Since the encoding is performed by a Variational Autoencoder, the VAE encoder must output some mean and log variance that we can ...
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Why use z_mean to plot the latent space learned by a Variational Autoencoder?
In the Keras website, there is an example code of a Variational Autoencoder.
At the end of such a page, there is an example code that plots the latent space learned from MNIST. The code is as follows:
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How to construct input dependent convolutional filter?
I am constructing a convolutional variational autoencoder for images, starting out with mnist digits. Typically I would specify convolutional layers in the following way:
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