Autocoders are a family of neural network models aiming to learn compressed latent variables of high-dimensional data. Starting from the basic autocoder mode...
```iii) However, if you were to use your same Gaussian decoder to model data that is itself Gaussian, you'd find that the VAE learns to ignore the latent code!```
D. Wang, P. Cui, и W. Zhu. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '16, стр. 1225--1234. San Francisco, California, USA, ACM Press, (2016)