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Tags: #neuralnet

Dec 17, 2016
Conditional Variational Autoencoder: Intuition and Implementation
An extension to Variational Autoencoder (VAE), Conditional Variational Autoencoder (CVAE) enables us to learn a conditional distribution of our data, ...
Dec 10, 2016
Variational Autoencoder: Intuition and Implementation
Variational Autoencoder (VAE) (Kingma et al., 2013) is a new perspective in the autoencoding business. It views Autoencoder as a ...
Dec 5, 2016
Deriving Contractive Autoencoder and Implementing it in Keras
Contractive Autoencoder is more sophisticated kind of Autoencoder compared to the last post. Here, we will dissect the loss function ...
Dec 3, 2016
Many flavors of Autoencoder
Autoencoder is a family of methods that answers the problem of data reconstruction using neural net. There are several variation ...

Conditional Variational Autoencoder: Intuition and Implementation An extension to Variational Autoencoder (VAE), Conditional Variational Autoencoder (CVAE) enables us to learn a conditional distribution of our data, ...