Denoising autoencoders attempt to address identity-function risk by randomly corrupting input (i.e. introducing noise) that the autoencoder must then reconstruct, or denoise. Variational autoencoder ...

Denoising autoencoders attempt to address identity-function risk by randomly corrupting input (i.e. introducing noise) that the autoencoder must then reconstruct, or denoise. Two kinds of noise were ...

Figure 1: Generating Synthetic Data Using a Variational Autoencoder This article assumes you have an intermediate or better familiarity with a C-family programming language, preferably Python, and a ...