Variational Autoencoding (VAE) System
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A Variational Autoencoding (VAE) System is an autoencoding system that implements a VAE algorithm to solve a VAE task.
- Example(s):
- See: GAN System, Adam Stochastic Optimization Algorithm.
References
2018
- https://github.com/pytorch/examples/blob/master/vae/README.md
- QUOTE: This is an improved implementation of the paper Stochastic Gradient VB and the Variational Auto-Encoder by Kingma and Welling. It uses ReLUs and the adam optimizer, instead of sigmoids and adagrad. These changes make the network converge much faster.