Autoencoders An autoencoder is a neural network that predicts its own input. The diagram in Figure 3 shows the architecture of the 65-32-8-32-65 autoencoder used in the demo program. An input image x, ...

We used the variational Bayesian approach 36 - 40 for multiple feature autoencoder learning, which is applied by the training algorithm called stochastic gradient variational Bayes. 36, 41 The ...

An autoencoder is a neural network that predicts its own input. The diagram in Figure 3 shows the architecture of the 65-32-8-32-65 autoencoder used in the demo program.